diff --git a/.env.example.mcp b/.env.example.mcp deleted file mode 100644 index 09321a68..00000000 --- a/.env.example.mcp +++ /dev/null @@ -1,17 +0,0 @@ -# SmartEM Decisions - MCP Server Configuration -# Optional environment variables for the MCP (Model Context Protocol) server -# Copy this file to .env.mcp and configure for your MCP deployment -# See: docs/how-to/use-mcp-interface.md for usage documentation - -# Data source configuration -# For filesystem adapter: path to EPU sessions directory -#SMARTEM_MCP_DATA_PATH=/path/to/epu/sessions - -# For API adapter: URL of SmartEM backend API -#SMARTEM_MCP_API_URL=http://localhost:8000 - -# Adapter selection (filesystem or api) -#SMARTEM_MCP_ADAPTER=filesystem - -# Logging configuration -#SMARTEM_MCP_LOG_LEVEL=INFO diff --git a/README.md b/README.md index 8b5b690a..cbd9c550 100644 --- a/README.md +++ b/README.md @@ -196,7 +196,6 @@ After installation with `pip install -e .[all]`, the following command-line util ### Development and Integration Tools - **`smartem_agent_tools`** - Agent development and debugging utilities -- **`smartem-mcp`** - Model Context Protocol (MCP) integration tools ### Data Retention Policies diff --git a/docs/explanations/backend-agent-communication-system-design.md b/docs/explanations/backend-agent-communication-system-design.md index 76a06f7e..2f8a961e 100644 --- a/docs/explanations/backend-agent-communication-system-design.md +++ b/docs/explanations/backend-agent-communication-system-design.md @@ -35,10 +35,6 @@ graph TB subgraph athena["athena_api"] athena_client["client.py
External API Integration"] end - - subgraph mcp["smartem_mcp"] - mcp_server["server.py
Model Context Protocol"] - end end subgraph infra["Infrastructure Services"] @@ -119,7 +115,7 @@ graph TB classDef equipment fill:#e8f5e8,stroke:#2e7d32,stroke-width:2px classDef communication fill:#fff8e1,stroke:#f57f17,stroke-width:2px - class k8s,packages,backend,common,athena,mcp,infra k8s + class k8s,packages,backend,common,athena,infra k8s class boundary,agents,agent_pkg,equipment boundary class db,mq database class scope1,scope2,scopeN,epu1,epu2,epuN,em1,em2,emN,gpfs1,gpfs2,gpfsN equipment diff --git a/docs/how-to/configure-environment-variables.md b/docs/how-to/configure-environment-variables.md index b9c7e448..e043ebaf 100644 --- a/docs/how-to/configure-environment-variables.md +++ b/docs/how-to/configure-environment-variables.md @@ -16,8 +16,6 @@ The project uses multiple environment configuration patterns for different deplo | `.env.k8s.staging` | K8s staging cluster config | Yes | Copy from `.env.example.k8s.staging` | | `.env.example.k8s.production` | Template for K8s production | No (committed) | N/A | | `.env.k8s.production` | K8s production cluster config | Yes | Copy from `.env.example.k8s.production` | -| `.env.example.mcp` | Template for MCP configuration | No (committed) | N/A | -| `.env.mcp` | MCP server configuration | Yes | Copy from `.env.example.mcp` | ## Environment File Types @@ -131,28 +129,6 @@ cp .env.example.k8s.production .env.k8s.production - Production CI/CD pipelines - Production deployment automation -### 5. MCP Configuration: `.env.mcp` - -**Use Case**: Configuring Model Context Protocol (MCP) server for Claude Code integration. - -**Setup**: -```bash -cp .env.example.mcp .env.mcp -# Configure paths and adapter settings -``` - -**Key Configuration**: -```bash -SMARTEM_MCP_DATA_PATH=/path/to/epu/sessions # Filesystem adapter -SMARTEM_MCP_API_URL=http://backend:8000 # API adapter -SMARTEM_MCP_ADAPTER=filesystem # Adapter selection -SMARTEM_MCP_LOG_LEVEL=INFO -``` - -**Used By**: -- MCP server when run via Claude Code -- See [Use MCP Interface](use-mcp-interface.md) for details - ## Quick Start: First-Time Setup For local development on a new machine: @@ -344,4 +320,3 @@ env | grep POSTGRES - [Deploy to Kubernetes](deploy-kubernetes.md) - K8s deployment guide - [Manage Kubernetes Secrets](manage-kubernetes-secrets.md) - Sealed Secrets and security - [Database Migrations](database-migrations.md) - Alembic migration workflow -- [Use MCP Interface](use-mcp-interface.md) - Claude Code MCP integration diff --git a/docs/how-to/use-mcp-interface.md b/docs/how-to/use-mcp-interface.md deleted file mode 100644 index a0f11bbd..00000000 --- a/docs/how-to/use-mcp-interface.md +++ /dev/null @@ -1,507 +0,0 @@ -# Using SmartEM MCP Interface - -The SmartEM MCP (Model Context Protocol) interface provides natural language querying capabilities for microscopy session data. Built with FastMCP 2.0, it supports both filesystem-based parsing and API-based queries for comprehensive data access. - -## Overview - -The MCP interface consists of: -- **FastMCP Server**: Provides natural language query capabilities via MCP protocol using FastMCP framework -- **MCP Client**: Python client for programmatic access with simplified FastMCP patterns -- **CLI Interface**: Command-line tools for interactive usage - -## Installation - -Install with MCP dependencies (includes FastMCP 2.0 framework): - -```bash -pip install -e .[mcp] -``` - -This installs the required FastMCP 2.0 framework and SmartEM MCP components. - -## Configuration - -The MCP server can be configured using environment variables. A template configuration file is provided: - -```bash -# Copy the example configuration -cp .env.example.mcp .env.mcp - -# Edit .env.mcp with your settings -``` - -Available configuration options (see `.env.example.mcp` for details): -- `SMARTEM_MCP_DATA_PATH`: Path to EPU sessions directory (for filesystem adapter) -- `SMARTEM_MCP_API_URL`: SmartEM backend API URL (for API adapter) -- `SMARTEM_MCP_ADAPTER`: Data adapter selection (`filesystem` or `api`) -- `SMARTEM_MCP_LOG_LEVEL`: Logging level (`DEBUG`, `INFO`, `WARNING`, `ERROR`) - -## Quick Start - -### 1. Interactive Query Mode - -Start interactive mode for natural language questions: - -```bash -python -m smartem_mcp interactive -``` - -Example questions: -- "Show me a summary of session /path/to/epu/directory" -- "Find low quality items in /path/to/epu with threshold 0.3" -- "What are the recent acquisitions?" - -### 2. Command Line Usage - -Parse EPU directory: -```bash -python -m smartem_mcp client parse --path /path/to/epu/session -``` - -Find low quality items: -```bash -python -m smartem_mcp client quality --path /path/to/epu --threshold 0.3 -``` - -Query recent acquisitions (requires API): -```bash -python -m smartem_mcp client acquisitions --limit 10 -``` - -### 3. Programmatic Usage - -```python -from smartem_mcp.client import SmartEMMCPClient - -async with SmartEMMCPClient() as client: - # Parse EPU directory - result = await client.parse_epu_directory("/path/to/epu") - if result.get("success"): - print(f"Found {result['grid_count']} grids") - - # Find low quality items - quality_result = await client.find_low_quality_items( - "/path/to/epu", - threshold=0.3 - ) - - # Query API data - acquisitions = await client.query_recent_acquisitions(limit=5) -``` - -## Data Sources - -### Filesystem Queries - -Direct parsing of EPU XML files using existing `smartem_agent` tools: - -- **Use case**: Ad-hoc analysis, debugging, development -- **Capabilities**: Full EPU directory parsing, quality analysis -- **Requirements**: Direct filesystem access to EPU data - -### API Queries - -Query historical and in-flight sessions via SmartEM API: - -- **Use case**: Historical analysis, live session monitoring -- **Capabilities**: Acquisition status, grid processing, real-time data -- **Requirements**: Running SmartEM backend service - -## Claude Code Integration - -The SmartEM MCP server integrates seamlessly with Claude Code, allowing natural language queries about microscopy data directly within your development environment. - -### Prerequisites - -Ensure MCP dependencies are installed (includes FastMCP 2.0): - -```bash -pip install -e .[mcp] -``` - -Verify the installation: - -```bash -python -m smartem_mcp --version -``` - -### Registration with Claude Code - -#### Option 1: Using Claude CLI (Recommended) - -Register the SmartEM MCP server using the Claude CLI: - -```bash -# Basic registration (user-wide scope) -claude mcp add smartem -- python -m smartem_mcp server - -# With custom API URL -claude mcp add smartem -- python -m smartem_mcp server --api-url http://localhost:30080 - -# Project-scoped registration -claude mcp add smartem --scope project -- python -m smartem_mcp server --api-url http://localhost:30080 -``` - -#### Option 2: Manual Configuration - -If you prefer manual configuration, add the server to your Claude Code settings: - -**For user-wide registration:** -Edit `~/.config/claude-code/mcp.json`: - -```json -{ - "mcpServers": { - "smartem": { - "command": "python", - "args": ["-m", "smartem_mcp", "server", "--api-url", "http://localhost:30080"], - "env": { - "SMARTEM_API_URL": "http://localhost:30080", - "SMARTEM_MCP_LOG_LEVEL": "INFO" - } - } - } -} -``` - -**For project-scoped registration:** -Create `.claude/mcp.json` in your project root: - -```json -{ - "mcpServers": { - "smartem": { - "command": "python", - "args": ["-m", "smartem_mcp", "server"], - "env": { - "SMARTEM_API_URL": "http://localhost:30080" - } - } - } -} -``` - -### Registration Options - -#### Environment Variables - -Configure the MCP server behaviour through environment variables: - -- `SMARTEM_API_URL`: Base URL for SmartEM API (default: `http://localhost:30080`) -- `SMARTEM_MCP_LOG_LEVEL`: Logging level (`DEBUG`, `INFO`, `WARNING`, `ERROR`) -- `PYTHON_PATH`: Python executable path if not in system PATH - -Example with custom environment: - -```bash -claude mcp add smartem --env SMARTEM_API_URL=http://production.server:8080 --env SMARTEM_MCP_LOG_LEVEL=DEBUG -- python -m smartem_mcp server -``` - -#### Scope Options - -- **User scope** (default): Available across all Claude Code projects -- **Project scope**: Only available within the current project directory - -```bash -# User-wide (default) -claude mcp add smartem -- python -m smartem_mcp server - -# Project-specific -claude mcp add smartem --scope project -- python -m smartem_mcp server -``` - -### Verification - -#### 1. Check Registration Status - -```bash -# List all registered MCP servers -claude mcp list - -# Check SmartEM server status -claude mcp status smartem -``` - -#### 2. Test Connection - -Start a new Claude Code session and verify the SmartEM tools are available: - -```bash -# In Claude Code, type a natural language query: -# "List all available SmartEM tools" -``` - -You should see the following tools available: -- `parse_epu_directory` - Parse EPU microscopy directories -- `query_quality_metrics` - Find low-quality images and foil holes -- `query_acquisitions` - Query recent acquisition sessions -- `query_grid_status` - Get grid processing status - -**Note**: The client provides high-level methods such as `find_low_quality_items()` which internally call the corresponding MCP tools. - -#### 3. Test Basic Functionality - -Try a simple query in Claude Code: - -> "Parse the EPU directory at /path/to/your/epu/session" - -### Usage in Claude Code - -Once registered, you can interact with SmartEM data using natural language within Claude Code: - -#### Directory Analysis - -> "Show me a comprehensive analysis of the EPU session at /data/microscopy/session_001" - -> "What grids and grid squares are available in /path/to/epu/directory?" - -#### Quality Assessment - -> "Find all images with quality scores below 0.4 in the EPU directory /data/session_001" - -> "Show me foil holes that need attention from /path/to/epu with quality threshold 0.3" - -#### Session Monitoring - -> "What are the 5 most recent microscopy acquisitions?" - -> "Check the processing status of grid uuid-12345" - -#### Advanced Queries - -> "Compare quality metrics between /data/session_001 and /data/session_002" - -> "Generate a report for all low-quality items found today" - -### Server Mode (Standalone) - -For advanced users or debugging, run the MCP server in standalone mode: - -```bash -python -m smartem_mcp server --api-url http://localhost:30080 --log-level DEBUG -``` - -This starts the server with stdio communication, primarily useful for: -- Debugging MCP protocol issues -- Custom client integrations -- Development and testing - -## Available Tools - -### `parse_epu_directory` -Parse EPU microscopy directory and extract comprehensive session data. - -**Parameters:** -- `path` (required): Path to EPU output directory containing EpuSession.dm - -**Returns:** Acquisition data, grids, grid squares, and statistics - -### `query_quality_metrics` -Find foil holes and micrographs with quality scores below threshold. - -**Parameters:** -- `path` (required): Path to EPU directory -- `threshold` (optional): Quality threshold (default: 0.5) -- `source` (optional): "filesystem" or "api" (default: filesystem) - -**Returns:** List of low-quality items with metadata - -### `query_acquisitions` -Query recent microscopy acquisition sessions from API. - -**Parameters:** -- `limit` (optional): Number of acquisitions to return (default: 10) - -**Returns:** List of acquisitions with status and metadata - -### `query_grid_status` -Get detailed status and processing state for specific grid. - -**Parameters:** -- `grid_id` (required): Grid UUID or identifier - -**Returns:** Grid details and processing status - -## Future Enhancements - -The following capabilities are scaffolded for future implementation: - -### Real-time Event Streaming -```python -# Future capability - real-time updates via RabbitMQ -events = await client.subscribe_to_events("acquisition.*.quality_updated") -``` - -### Direct Database Querying -```python -# Future capability - direct read-only database access -result = await client.query_database("SELECT * FROM micrographs WHERE quality < 0.3") -``` - -## Error Handling - -All operations return structured results with success indicators: - -```python -result = await client.parse_epu_directory("/path/to/epu") -if result.get("success"): - # Process result data - data = result.get("data", {}) - pass -else: - print(f"Error: {result.get('error')}") -``` - -## Configuration - -### Environment Variables - -- `SMARTEM_API_URL`: Base URL for SmartEM API (default: http://localhost:30080) -- `SMARTEM_MCP_LOG_LEVEL`: Logging level (default: INFO) - -### API Authentication - -For authenticated API access (future): -```python -client = SmartEMMCPClient(api_token="your_token_here") -``` - -## Troubleshooting - -### Common Issues - -#### 1. MCP Server Registration Problems - -**"SmartEM MCP server not found"** -- Ensure MCP dependencies are installed: `pip install -e .[mcp]` (includes FastMCP 2.0) -- Verify Python path includes smartem_mcp module: `python -c "import smartem_mcp; print('OK')"` -- Check registration with `claude mcp list` - -**"Failed to start MCP server"** -- Verify Python executable is accessible: `which python` -- Test server manually: `python -m smartem_mcp server --api-url http://localhost:30080` -- Check environment variables are properly set - -**"MCP server registered but not responding"** -- Remove and re-add the server: `claude mcp remove smartem && claude mcp add smartem -- python -m smartem_mcp server` -- Restart Claude Code completely -- Check server logs: `claude mcp logs smartem` - -#### 2. Directory and Data Issues - -**"Invalid EPU directory"** -- Verify directory contains EpuSession.dm file -- Check Metadata/ and Images-Disc*/ subdirectories exist -- Ensure proper file permissions for reading EPU data - -**"Permission denied accessing EPU files"** -- Check file permissions: `ls -la /path/to/epu/directory` -- Ensure user has read access to all EPU subdirectories -- For network mounts, verify mount permissions - -#### 3. API Connection Issues - -**"API connection failed"** -- Verify SmartEM backend is running: `curl http://localhost:30080/health` -- Check API URL is correct in registration command -- Test network connectivity to API endpoint - -**"Authentication failed"** (Future feature) -- Verify API tokens are properly configured -- Check token expiration and renewal - -#### 4. Claude Code Integration Issues - -**"Tools not available in Claude Code"** -- Restart Claude Code after registration -- Check MCP server status: `claude mcp status smartem` -- Verify registration scope (user vs project) - -**"Queries return empty results"** -- Test with standalone client: `python -m smartem_mcp client parse --path /path/to/epu` -- Check EPU directory structure and data validity -- Verify API connectivity for acquisition queries - -### Debug Mode - -#### Enable Debug Logging - -For MCP server debugging: -```bash -claude mcp add smartem --env SMARTEM_MCP_LOG_LEVEL=DEBUG -- python -m smartem_mcp server --api-url http://localhost:30080 --log-level DEBUG -``` - -For client debugging: -```bash -python -m smartem_mcp --log-level DEBUG client parse --path /path/to/epu -``` - -#### Check Server Logs - -View MCP server logs in Claude Code: -```bash -claude mcp logs smartem -``` - -#### Manual Server Testing - -Test the server independently of Claude Code: -```bash -# Start server in stdio mode for testing -python -m smartem_mcp server --log-level DEBUG - -# The server uses FastMCP stdio communication protocol -# For testing, use interactive mode or programmatic client instead: -python -m smartem_mcp interactive -``` - -### Environment-Specific Troubleshooting - -#### Development Environment -- Ensure virtual environment is activated when registering -- Use absolute Python paths: `claude mcp add smartem -- /path/to/.venv/bin/python -m smartem_mcp server` - -#### Production Environment -- Verify all dependencies are installed in production Python environment -- Check firewall rules for API connectivity -- Ensure proper logging configuration for production - -#### Container Environments -- Mount EPU directories properly in container -- Expose API ports correctly -- Set environment variables in container runtime - -### Getting Help - -If issues persist: - -1. **Gather diagnostic information:** - ```bash - # System info - python --version - pip list | grep -E "(smartem|mcp)" - claude mcp list - claude mcp status smartem - - # Test basic functionality - python -m smartem_mcp --version - python -c "import smartem_mcp; print('Import successful')" - ``` - -2. **Check project documentation:** [SmartEM Decisions README](/README.md) - -3. **Review MCP protocol documentation:** [Model Context Protocol Specification](https://modelcontextprotocol.io/) - -4. **Submit issue:** Include diagnostic information and specific error messages - -## Integration with Claude Code - -When properly configured, you can ask Claude Code natural language questions: - -> "Show me all grid squares with quality scores below 0.5 from the EPU session at /data/session1" - -> "What's the current status of acquisition abc-123?" - -> "List micrographs acquired in the last hour with defocus values" - -The MCP server will automatically route these queries to the appropriate data sources and return formatted results. diff --git a/docs/tutorials/installation.md b/docs/tutorials/installation.md index 77eda4bd..bb4e0d4f 100644 --- a/docs/tutorials/installation.md +++ b/docs/tutorials/installation.md @@ -47,18 +47,6 @@ cd smartem-decisions pip install -e .[all] ``` -### Installation with Optional Dependencies - -Install with specific feature sets: - -```bash -# Install with MCP (Model Context Protocol) support -pip install -e .[mcp] - -# Install with all optional dependencies (recommended for development) -pip install -e .[all] -``` - ## Verify Installation The library should now be installed with the command-line interface available on your system path. Verify the installation by checking the installed version: @@ -72,9 +60,6 @@ You can also verify that all components are correctly installed by running: ```bash # Test core functionality python -c "import smartem_backend, smartem_agent, smartem_common; print('Core components imported successfully')" - -# Test MCP functionality (if installed with MCP support) -python -c "import smartem_mcp; print('MCP components available')" ``` ## Next Steps diff --git a/pyproject.toml b/pyproject.toml index 7a927327..87c2e3de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -107,15 +107,9 @@ mock = [ "uvicorn[standard]>=0.30.0,<1.0.0", ] -# MCP server and client dependencies (optional) -mcp = [ - "smartem-decisions[common,client,cli,agent]", - "fastmcp>=2.0.0", -] - # Combined dependencies (for convenience) all = [ - "smartem-decisions[dev,common,client,cli,backend,agent,fsrecorder,mock,mcp,images]", + "smartem-decisions[dev,common,client,cli,backend,agent,fsrecorder,mock,images]", ] [project.scripts] @@ -129,9 +123,6 @@ smartem_agent_tools = "smartem_agent.__main__:main" "smartem.random-model-predictions" = "smartem_backend.cli.random_model_predictions:run" "smartem.random-prior-updates" = "smartem_backend.cli.random_prior_updates:run" -# Additional services -"smartem-mcp" = "smartem_mcp.__main__:main" - [project.urls] GitHub = "https://github.com/DiamondLightSource/smartem-decisions" @@ -149,7 +140,6 @@ packages = [ "smartem_agent", "smartem_common", "athena_api", - "smartem_mcp" ] package-dir = {"" = "src"} diff --git a/setup.py b/setup.py index b2783655..a9182aba 100644 --- a/setup.py +++ b/setup.py @@ -22,7 +22,6 @@ def copy_version_files(): Path("src/smartem_agent/_version.py"), Path("src/smartem_common/_version.py"), Path("src/smartem_api/_version.py"), - Path("src/smartem_mcp/_version.py"), ] # Make sure target directories exist diff --git a/src/smartem_mcp/__init__.py b/src/smartem_mcp/__init__.py deleted file mode 100644 index 2d16c402..00000000 --- a/src/smartem_mcp/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -""" -SmartEM MCP (Model Context Protocol) Server and Client - -Provides natural language interface to SmartEM microscopy data through MCP protocol. -Supports both filesystem-based parsing and API-based querying for comprehensive -microscopy session data access. -""" diff --git a/src/smartem_mcp/__main__.py b/src/smartem_mcp/__main__.py deleted file mode 100644 index 46671d89..00000000 --- a/src/smartem_mcp/__main__.py +++ /dev/null @@ -1,281 +0,0 @@ -""" -SmartEM MCP Command Line Interface using FastMCP - -Provides command-line access to SmartEM MCP server and client functionality. -""" - -import argparse -import asyncio -import json -import logging -import sys - -from smartem_mcp._version import __version__ -from smartem_mcp.client import SmartEMMCPClient - - -async def run_client(args): - """Run client commands""" - logging.basicConfig(level=getattr(logging, args.log_level)) - - async with SmartEMMCPClient() as client: - if args.client_command == "parse": - if not args.path: - print("Error: --path required for parse command") - return 1 - - try: - result = await client.parse_epu_directory(args.path) - if args.json: - print(json.dumps(result, indent=2, default=str)) - else: - print(f"Successfully parsed EPU directory: {args.path}") - print(f" Grids: {result.get('grid_count', 0)}") - print(f" Grid squares: {result.get('total_gridsquares', 0)}") - if result.get("acquisition"): - print(f" Acquisition: {result['acquisition'].get('name', 'Unknown')}") - except Exception as e: - print(f"Failed to parse directory: {str(e)}") - return 1 - - elif args.client_command == "quality": - if not args.path: - print("Error: --path required for quality command") - return 1 - - try: - result = await client.find_low_quality_items(args.path, args.threshold, args.source) - if args.json: - print(json.dumps(result, indent=2, default=str)) - else: - items = result.get("low_quality_items", []) - print(f"Quality analysis complete (threshold: {args.threshold})") - print(f" Found {len(items)} low-quality items") - if items: - for item in items[:5]: # Show first 5 - print(f" - {item}") - if len(items) > 5: - print(f" ... and {len(items) - 5} more") - except Exception as e: - print(f"Quality analysis failed: {str(e)}") - return 1 - - elif args.client_command == "acquisitions": - try: - result = await client.query_recent_acquisitions(args.limit) - if args.json: - print(json.dumps(result, indent=2, default=str)) - else: - acquisitions = result.get("acquisitions", []) - print(f"Found {len(acquisitions)} recent acquisitions") - for acq in acquisitions: - print(f" - {acq.get('name', 'Unknown')} (ID: {acq.get('id', 'N/A')})") - except Exception as e: - print(f"Failed to query acquisitions: {str(e)}") - return 1 - - elif args.client_command == "grid": - if not args.grid_id: - print("Error: --grid-id required for grid command") - return 1 - - try: - result = await client.get_grid_status(args.grid_id) - if args.json: - print(json.dumps(result, indent=2, default=str)) - else: - grid = result.get("grid", {}) - print(f"Grid {args.grid_id} status:") - print(f" Status: {grid.get('status', 'Unknown')}") - print(f" Created: {grid.get('created_at', 'Unknown')}") - except Exception as e: - print(f"Failed to get grid status: {str(e)}") - return 1 - - else: - print(f"Unknown client command: {args.client_command}") - return 1 - - return 0 - - -async def run_interactive(args): - """Run interactive query mode""" - logging.basicConfig(level=getattr(logging, args.log_level)) - - print(f"SmartEM Interactive Query Interface v{__version__}") - print("Execute direct tool calls against the MCP server!") - print("Available tools: parse_epu_directory, query_quality_metrics, query_acquisitions, query_grid_status") - print("Examples:") - print(" parse /path/to/epu") - print(" quality /path/to/epu 0.3") - print(" acquisitions 10") - print(" grid ") - print() - - client = SmartEMMCPClient() - - try: - while True: - command = input("ā“ Tool command: ").strip() - if command.lower() in ["exit", "quit", "q"]: - break - - if not command: - continue - - parts = command.split() - tool_cmd = parts[0].lower() - - try: - if tool_cmd == "parse" and len(parts) >= 2: - path = parts[1] - result = await client.parse_epu_directory(path) - grid_count = result.get("grid_count", 0) - total_squares = result.get("total_gridsquares", 0) - print(f" Parsed {grid_count} grids, {total_squares} grid squares") - - elif tool_cmd == "quality" and len(parts) >= 2: - path = parts[1] - threshold = float(parts[2]) if len(parts) > 2 else 0.5 - result = await client.find_low_quality_items(path, threshold) - items = result.get("low_quality_items", []) - print(f" Found {len(items)} low-quality items (threshold: {threshold})") - - elif tool_cmd == "acquisitions": - limit = int(parts[1]) if len(parts) > 1 else 10 - result = await client.query_recent_acquisitions(limit) - acquisitions = result.get("acquisitions", []) - print(f" Found {len(acquisitions)} recent acquisitions") - - elif tool_cmd == "grid" and len(parts) >= 2: - grid_id = parts[1] - result = await client.get_grid_status(grid_id) - grid = result.get("grid", {}) - print(f" Grid {grid_id}: {grid.get('status', 'Unknown')}") - - else: - print("Invalid command format") - print("Use: parse | quality [threshold] | acquisitions [limit] | grid ") - - except Exception as e: - print(f"Error: {str(e)}") - - print() - - except KeyboardInterrupt: - print("\nšŸ‘‹ Goodbye!") - finally: - await client.disconnect() - - return 0 - - -def main(): - """Main CLI entry point""" - parser = argparse.ArgumentParser( - description="SmartEM MCP - Natural language interface to microscopy data", - formatter_class=argparse.RawDescriptionHelpFormatter, - epilog=""" -Examples: - # Start MCP server - python -m smartem_mcp server --api-url http://localhost:30080 - - # Parse EPU directory - python -m smartem_mcp client parse --path /path/to/epu/session - - # Find low quality items - python -m smartem_mcp client quality --path /path/to/epu --threshold 0.3 - - # Query recent acquisitions - python -m smartem_mcp client acquisitions --limit 10 - - # Interactive mode - python -m smartem_mcp interactive - """, - ) - - parser.add_argument("--version", action="version", version=f"SmartEM MCP v{__version__}") - parser.add_argument( - "--log-level", choices=["DEBUG", "INFO", "WARNING", "ERROR"], default="INFO", help="Logging level" - ) - - subparsers = parser.add_subparsers(dest="mode", help="Mode to run") - - # Server mode - server_parser = subparsers.add_parser("server", help="Run MCP server") - server_parser.add_argument("--api-url", default="http://localhost:30080", help="SmartEM API base URL") - - # Client mode - client_parser = subparsers.add_parser("client", help="Run client commands") - client_subparsers = client_parser.add_subparsers(dest="client_command", help="Client command") - - # Parse command - parse_parser = client_subparsers.add_parser("parse", help="Parse EPU directory") - parse_parser.add_argument("--path", required=True, help="Path to EPU directory") - parse_parser.add_argument("--json", action="store_true", help="Output raw JSON") - - # Quality command - quality_parser = client_subparsers.add_parser("quality", help="Analyze quality metrics") - quality_parser.add_argument("--path", required=True, help="Path to EPU directory") - quality_parser.add_argument("--threshold", type=float, default=0.5, help="Quality threshold") - quality_parser.add_argument("--source", choices=["filesystem", "api"], default="filesystem", help="Data source") - quality_parser.add_argument("--json", action="store_true", help="Output raw JSON") - - # Acquisitions command - acq_parser = client_subparsers.add_parser("acquisitions", help="Query acquisitions") - acq_parser.add_argument("--limit", type=int, default=10, help="Number of acquisitions") - acq_parser.add_argument("--json", action="store_true", help="Output raw JSON") - - # Grid command - grid_parser = client_subparsers.add_parser("grid", help="Get grid status") - grid_parser.add_argument("--grid-id", required=True, help="Grid UUID") - grid_parser.add_argument("--json", action="store_true", help="Output raw JSON") - - # Interactive mode - subparsers.add_parser("interactive", help="Interactive query mode") - - args = parser.parse_args() - - if not args.mode: - parser.print_help() - return 1 - - try: - if args.mode == "server": - # Run server with proper argument passing - from smartem_mcp.server import init_api_client - - logging.basicConfig(level=getattr(logging, args.log_level)) - - # Initialize API client - api_connected = init_api_client(args.api_url) - if api_connected: - logger = logging.getLogger(__name__) - logger.info("Initialized SmartEM API client") - else: - logger = logging.getLogger(__name__) - logger.warning("Could not initialize SmartEM API client - some features may be limited") - - # Import the mcp instance and run it - from smartem_mcp.server import mcp - - return asyncio.run(mcp.run()) - elif args.mode == "client": - return asyncio.run(run_client(args)) - elif args.mode == "interactive": - return asyncio.run(run_interactive(args)) - else: - parser.print_help() - return 1 - - except KeyboardInterrupt: - print("\nInterrupted by user") - return 130 - except Exception as e: - print(f"Unexpected error: {str(e)}") - return 1 - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/src/smartem_mcp/client.py b/src/smartem_mcp/client.py deleted file mode 100644 index ac3229af..00000000 --- a/src/smartem_mcp/client.py +++ /dev/null @@ -1,179 +0,0 @@ -""" -SmartEM MCP Client using FastMCP - -Provides client interface for connecting to SmartEM MCP server and executing -natural language queries against microscopy data. - -Usage Examples: - # Filesystem queries - client = SmartEMMCPClient() - result = await client.parse_epu_directory("/path/to/epu/session") - - # API queries - result = await client.query_recent_acquisitions(limit=5) - - # Quality analysis - low_quality = await client.find_low_quality_items("/path/to/epu", threshold=0.3) -""" - -import asyncio -import json -import logging -from typing import Any - -from fastmcp.client import Client - -logger = logging.getLogger(__name__) - - -class SmartEMMCPClient: - """Client for interacting with SmartEM MCP Server using FastMCP""" - - def __init__(self, server_command: list[str] | None = None): - """ - Initialize MCP client - - Args: - server_command: Command to start MCP server. Defaults to local server. - """ - self.server_command = server_command or ["python", "-m", "smartem_mcp.server"] - self.client = None - self.logger = logging.getLogger(__name__) - - async def connect(self) -> bool: - """Connect to SmartEM MCP server""" - try: - self.logger.info(f"Connecting to SmartEM MCP server: {' '.join(self.server_command)}") - self.client = Client(self.server_command) - self.logger.info("Connected to SmartEM MCP server") - return True - - except Exception as e: - self.logger.error(f"Failed to connect to MCP server: {str(e)}") - self.client = None - return False - - async def disconnect(self): - """Disconnect from MCP server""" - if self.client: - await self.client.close() - self.client = None - self.logger.info("Disconnected from MCP server") - - async def _call_tool(self, tool_name: str, arguments: dict[str, Any]) -> dict[str, Any]: - """Execute MCP tool with error handling""" - if not self.client: - await self.connect() - - try: - async with self.client: - result = await self.client.call_tool(tool_name, arguments) - return result - - except Exception as e: - self.logger.error(f"Error calling tool {tool_name}: {str(e)}") - raise RuntimeError(f"Tool call failed: {str(e)}") from e - - # High-level query methods - - async def parse_epu_directory(self, path: str) -> dict[str, Any]: - """ - Parse EPU microscopy directory and extract comprehensive session data - - Args: - path: Path to EPU output directory containing EpuSession.dm - - Returns: - Parsed acquisition data, grids, and statistics - """ - return await self._call_tool("parse_epu_directory", {"path": path}) - - async def find_low_quality_items( - self, path: str, threshold: float = 0.5, source: str = "filesystem" - ) -> dict[str, Any]: - """ - Find foil holes and micrographs with quality scores below threshold - - Args: - path: Path to EPU directory (for filesystem) or ignored (for API) - threshold: Quality threshold (0.0 to 1.0) - source: Data source - "filesystem" or "api" - - Returns: - Low quality items and statistics - """ - return await self._call_tool("query_quality_metrics", {"path": path, "threshold": threshold, "source": source}) - - async def query_recent_acquisitions(self, limit: int = 10) -> dict[str, Any]: - """ - Query recent microscopy acquisition sessions from API - - Args: - limit: Number of acquisitions to return - - Returns: - Acquisition list and metadata - """ - return await self._call_tool("query_acquisitions", {"limit": limit}) - - async def get_grid_status(self, grid_id: str) -> dict[str, Any]: - """ - Get detailed status and processing state for a specific grid - - Args: - grid_id: Grid UUID or identifier - - Returns: - Grid details and processing status - """ - return await self._call_tool("query_grid_status", {"grid_id": grid_id}) - - # Context manager support - - async def __aenter__(self): - """Async context manager entry""" - if not self.client: - await self.connect() - return self - - async def __aexit__(self, exc_type, exc_val, exc_tb): - """Async context manager exit""" - await self.disconnect() - - -# Utility functions for CLI usage - - -async def main(): - """Example usage of SmartEM MCP Client""" - import argparse - - parser = argparse.ArgumentParser(description="SmartEM MCP Client") - parser.add_argument("--path", help="Path to EPU directory") - parser.add_argument("--command", help="Command to execute") - parser.add_argument("--threshold", type=float, default=0.5, help="Quality threshold") - - args = parser.parse_args() - - async with SmartEMMCPClient() as client: - if args.command == "parse" and args.path: - result = await client.parse_epu_directory(args.path) - print(json.dumps(result, indent=2, default=str)) - - elif args.command == "quality" and args.path: - result = await client.find_low_quality_items(args.path, args.threshold) - print(json.dumps(result, indent=2, default=str)) - - elif args.command == "acquisitions": - result = await client.query_recent_acquisitions() - print(json.dumps(result, indent=2, default=str)) - - else: - print("Usage examples:") - print(" python -m smartem_mcp.client --command parse --path /path/to/epu") - print(" python -m smartem_mcp.client --command quality --path /path/to/epu --threshold 0.3") - print(" python -m smartem_mcp.client --command acquisitions") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/src/smartem_mcp/server.py b/src/smartem_mcp/server.py deleted file mode 100644 index 1ebbbdeb..00000000 --- a/src/smartem_mcp/server.py +++ /dev/null @@ -1,249 +0,0 @@ -""" -SmartEM MCP Server using FastMCP - -Provides MCP (Model Context Protocol) server for natural language querying of -microscopy session data. Supports both filesystem-based parsing and API-based -querying with read-only access to scientific data. - -Architecture: -- Direct filesystem parsing using smartem_agent tools -- API querying via SmartEM API client -- FastMCP decorators for simplified tool and resource registration -""" - -import asyncio -import json -import logging -from pathlib import Path -from typing import Any - -from fastmcp import FastMCP - -from smartem_agent.fs_parser import EpuParser -from smartem_agent.model.store import InMemoryDataStore -from smartem_backend.api_client import SmartEMAPIClient -from smartem_mcp._version import __version__ - -logger = logging.getLogger(__name__) - -# Initialize FastMCP server -mcp = FastMCP("smartem-mcp") - -# Global API client instance -api_client: SmartEMAPIClient | None = None - - -def init_api_client(api_base_url: str = "http://localhost:30080") -> bool: - """Initialize global API client""" - global api_client - try: - api_client = SmartEMAPIClient(base_url=api_base_url) - return True - except Exception as e: - logger.error(f"Failed to initialize API client: {e}") - return False - - -@mcp.tool() -async def parse_epu_directory(path: str) -> dict[str, Any]: - """ - Parse EPU microscopy directory and extract comprehensive session data - - Args: - path: Path to EPU output directory containing EpuSession.dm - - Returns: - Comprehensive acquisition data including grids and statistics - """ - try: - epu_path = Path(path) - if not epu_path.exists(): - raise ValueError(f"Path does not exist: {path}") - - # Validate EPU directory structure - is_valid, errors = EpuParser.validate_project_dir(epu_path) - if not is_valid: - raise ValueError(f"Invalid EPU directory: {'; '.join(errors)}") - - # Parse the directory - datastore = InMemoryDataStore(root_dir=epu_path) - datastore = EpuParser.parse_epu_output_dir(datastore) - - # Convert to serializable format - return { - "acquisition": datastore.acquisition.model_dump() if datastore.acquisition else None, - "grids": [grid.model_dump() for grid in datastore.grids.values()], - "grid_count": len(datastore.grids), - "total_gridsquares": sum( - len(grid_data.gridsquares) - for grid_data in datastore.grids.values() - if hasattr(grid_data, "gridsquares") - ), - "source": "filesystem", - } - - except Exception as e: - logger.error(f"Error parsing EPU directory {path}: {str(e)}") - raise RuntimeError(f"Failed to parse EPU directory: {str(e)}") from e - - -@mcp.tool() -async def query_quality_metrics(path: str, threshold: float = 0.5, source: str = "filesystem") -> dict[str, Any]: - """ - Find foil holes and micrographs with quality scores below threshold - - Args: - path: Path to EPU directory (for filesystem queries) - threshold: Quality threshold (0.0 to 1.0) - source: Data source - "filesystem" or "api" - - Returns: - Low quality items and statistics - """ - if source == "api": - raise NotImplementedError("API-based quality queries not yet implemented") - - try: - # Get parsed directory data - directory_data = await parse_epu_directory(path) - - # This is a simplified example - would need proper quality metric extraction - # from the parsed EPU data structures - low_quality_items = [] - for _grid in directory_data.get("grids", []): - # Future implementation: extract actual quality metrics - pass - - return { - "low_quality_items": low_quality_items, - "threshold": threshold, - "source": source, - } - - except Exception as e: - logger.error(f"Error querying quality metrics: {str(e)}") - raise RuntimeError(f"Failed to query quality metrics: {str(e)}") from e - - -@mcp.tool() -async def query_acquisitions(limit: int = 10) -> dict[str, Any]: - """ - Query recent microscopy acquisition sessions from API - - Args: - limit: Number of acquisitions to return - - Returns: - List of recent acquisitions with metadata - """ - global api_client - - if not api_client: - raise RuntimeError("API client not initialized") - - try: - # Test connection first - health = await api_client.get_health() - if health.get("status") != "healthy": - raise RuntimeError("API is not healthy") - - acquisitions = await api_client.get_acquisitions(limit=limit) - - return { - "acquisitions": acquisitions, - "count": len(acquisitions), - "source": "api", - } - - except Exception as e: - logger.error(f"Error querying acquisitions: {str(e)}") - raise RuntimeError(f"Failed to query acquisitions: {str(e)}") from e - - -@mcp.tool() -async def query_grid_status(grid_id: str) -> dict[str, Any]: - """ - Get detailed status and processing state for a specific grid - - Args: - grid_id: Grid UUID or identifier - - Returns: - Grid details and processing status - """ - global api_client - - if not api_client: - raise RuntimeError("API client not initialized") - - try: - grid = await api_client.get_grid(grid_id) - if not grid: - raise ValueError(f"Grid {grid_id} not found") - - return { - "grid": grid, - "source": "api", - } - - except Exception as e: - logger.error(f"Error querying grid {grid_id}: {str(e)}") - raise RuntimeError(f"Failed to query grid status: {str(e)}") from e - - -@mcp.resource("smartem://acquisitions") -async def get_acquisitions_resource() -> str: - """Current and recent microscopy acquisition sessions""" - try: - result = await query_acquisitions(limit=5) - return json.dumps(result, indent=2, default=str) - except Exception: - return json.dumps({"error": "Failed to fetch acquisitions"}) - - -@mcp.resource("smartem://quality-metrics") -async def get_quality_metrics_resource() -> str: - """Image and foil hole quality assessment data""" - return json.dumps({"message": "Quality metrics resource - requires specific query parameters"}) - - -@mcp.resource("smartem://events") -async def get_events_resource() -> str: - """Live event stream from microscopy sessions (Future)""" - return json.dumps({"message": "Resource not yet implemented - planned for future release"}) - - -@mcp.resource("smartem://database") -async def get_database_resource() -> str: - """Direct read-only database queries (Future)""" - return json.dumps({"message": "Resource not yet implemented - planned for future release"}) - - -async def main(): - """Main entry point for SmartEM MCP Server""" - import argparse - - parser = argparse.ArgumentParser(description="SmartEM MCP Server") - parser.add_argument("--api-url", default="http://localhost:30080", help="SmartEM API base URL") - parser.add_argument( - "--log-level", choices=["DEBUG", "INFO", "WARNING", "ERROR"], default="INFO", help="Logging level" - ) - - args = parser.parse_args() - - logging.basicConfig(level=getattr(logging, args.log_level)) - logger.info(f"Starting SmartEM MCP Server v{__version__}") - - # Initialize API client - api_connected = init_api_client(args.api_url) - if api_connected: - logger.info("Initialized SmartEM API client") - else: - logger.warning("Could not initialize SmartEM API client - some features may be limited") - - # Run FastMCP server - await mcp.run() - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/tests/smartem_mcp/__init__.py b/tests/smartem_mcp/__init__.py deleted file mode 100644 index 3579641b..00000000 --- a/tests/smartem_mcp/__init__.py +++ /dev/null @@ -1 +0,0 @@ -"""Tests for SmartEM MCP functionality""" diff --git a/tools/mcp_demo.py b/tools/mcp_demo.py deleted file mode 100644 index 9014d1f7..00000000 --- a/tools/mcp_demo.py +++ /dev/null @@ -1,195 +0,0 @@ -#!/usr/bin/env python -""" -SmartEM MCP Demo - Show off the natural language interface - -This is a demonstration script showcasing MCP capabilities. -Run with: python tools/mcp_demo.py - -For actual testing, see tests/smartem_mcp/ -""" - -import asyncio - -from smartem_mcp.client import SmartEMQueryInterface -from smartem_mcp.server import FilesystemAdapter - - -class MockMCPClient: - """Mock client that bypasses MCP protocol for demo purposes""" - - async def session_summary(self, path): - adapter = FilesystemAdapter() - result = await adapter.parse_epu_directory(path) - - if result.success and result.data: - data = result.data - return { - "session_path": path, - "acquisition_name": data.get("acquisition", {}).get("name", "Unknown"), - "grid_count": data.get("grid_count", 0), - "total_gridsquares": data.get("total_gridsquares", 0), - "success": True, - } - else: - return {"error": result.error, "success": False} - - async def quality_report(self, path, threshold): - adapter = FilesystemAdapter() - result = await adapter.query_quality_metrics(path, threshold) - - if result.success and result.data: - data = result.data - return { - "quality_threshold": threshold, - "low_quality_count": len(data.get("low_quality_items", [])), - "items": data.get("low_quality_items", []), - "success": True, - } - else: - return {"error": result.error, "success": False} - - async def query_recent_acquisitions(self, limit): - return {"success": False, "error": "API not available in demo mode - would normally query SmartEM API"} - - -async def demo_natural_language_queries(): - """Demonstrate natural language querying capabilities""" - - print("šŸŽ­ SmartEM MCP Natural Language Interface Demo") - print("=" * 60) - - # Use test dataset - test_path = ( - "/home/vredchenko/dev/DLS/smartem-decisions-test-datasets/bi37708-28-copy/" - "Supervisor_20250129_134723_36_bi37708-28_grid7_EPU" - ) - - interface = SmartEMQueryInterface(client=MockMCPClient()) - - # Demo queries - queries = [ - { - "question": "Show me a session summary", - "context": {"path": test_path}, - "description": "Get high-level overview of microscopy session", - }, - { - "question": "Find low quality items with threshold 0.5", - "context": {"path": test_path, "threshold": 0.5}, - "description": "Analyze quality metrics for troubleshooting", - }, - { - "question": "What are the recent acquisitions?", - "context": {}, - "description": "Query recent microscopy sessions (would use API)", - }, - ] - - for i, query in enumerate(queries, 1): - print(f"\nExample {i}: {query['description']}") - print(f' Question: "{query["question"]}"') - - try: - answer = await interface.ask(query["question"], query["context"]) - print(f" Answer: {answer}") - except Exception as e: - print(f" Error: {str(e)}") - - print("-" * 40) - - -async def demo_direct_queries(): - """Show direct filesystem adapter queries""" - - print("\n Direct SmartEM Data Queries") - print("=" * 60) - - adapter = FilesystemAdapter() - test_path = ( - "/home/vredchenko/dev/DLS/smartem-decisions-test-datasets/bi37708-28-copy/" - "Supervisor_20250129_134723_36_bi37708-28_grid7_EPU" - ) - - # 1. Parse EPU directory - print("\n Parsing EPU Directory Structure...") - result = await adapter.parse_epu_directory(test_path) - - if result.success: - data = result.data or {} - print(" Success!") - print(f" Grids: {data.get('grid_count', 0)}") - print(f" Grid squares: {data.get('total_gridsquares', 0)}") - - if data.get("grids"): - grid = data["grids"][0] - print(f" Grid UUID: {grid.get('uuid', 'N/A')}") - print(f" Data directory: {grid.get('data_dir', 'N/A')}") - else: - print(f" Failed: {result.error}") - - # 2. Quality analysis - print("\n Quality Metrics Analysis...") - for threshold in [0.3, 0.5, 0.8]: - quality_result = await adapter.query_quality_metrics(test_path, threshold) - if quality_result.success: - quality_data = quality_result.data or {} - count = len(quality_data.get("low_quality_items", [])) - print(f" Threshold {threshold}: {count} low-quality items") - - -def show_mcp_capabilities(): - """Show what the MCP interface can do""" - - print("\n SmartEM MCP Capabilities") - print("=" * 60) - - capabilities = [ - " Parse EPU microscopy directories", - " Natural language querying of session data", - " Quality metrics analysis and filtering", - " Grid square and foil hole enumeration", - " Integration with SmartEM API (when available)", - " Interactive command-line interface", - " Claude Code MCP protocol integration", - " Both filesystem and API data sources", - ] - - for capability in capabilities: - print(f" {capability}") - - print("\n Available Tools:") - tools = [ - "parse_epu_directory - Extract comprehensive session data", - "query_quality_metrics - Find low-quality items", - "query_acquisitions - Get recent microscopy sessions (API)", - "query_grid_status - Check specific grid processing state (API)", - ] - - for tool in tools: - print(f" • {tool}") - - print("\n Usage Examples:") - examples = [ - 'smartem-mcp client parse --path "/path/to/epu"', - 'smartem-mcp client quality --path "/path/to/epu" --threshold 0.3', - "smartem-mcp interactive # Natural language mode", - "python -m smartem_mcp server # Start MCP server for Claude Code", - ] - - for example in examples: - print(f" $ {example}") - - -async def main(): - """Main demo function""" - - show_mcp_capabilities() - await demo_direct_queries() - await demo_natural_language_queries() - - print("\nšŸŽ‰ SmartEM MCP Demo Complete!") - print("šŸ’” Try: 'smartem-mcp interactive' for hands-on natural language queries") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/uv.lock 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