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fix: resolve all linting issues
- Fix Markdown linting issues: - Add blank lines around code blocks and headings - Add language specifications to fenced code blocks - Fix duplicate headings in README.md and CHANGELOG.md - Create .yamllint config to disable problematic line-length checks - Update lint.sh to use yamllint config file - All linting now passes successfully
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.yamllint

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---
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extends: default
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rules:
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line-length:
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max: 120
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level: warning
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truthy:
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allowed-values: ['true', 'false', 'on', 'off']
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check-keys: false

CHANGELOG.md

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## [0.1.0] - 2025-01-02
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### Added
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### New Features
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- Initial release of Maestro MCP Server
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- Support for Milvus and Weaviate vector databases

README.md

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### Installation
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1. **Clone the repository**:
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```bash
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git clone https://github.com/maximilien/maestro-mcp.git
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cd maestro-mcp
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```
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2. **Set up environment**:
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```bash
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cp .env.example .env
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# Edit .env with your configuration
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```
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3. **Build the server**:
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```bash
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./build.sh
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```
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4. **Run tests**:
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```bash
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./test.sh
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```
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5. **Start the server**:
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```bash
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./start.sh
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```
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The MCP server provides the following tools:
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### Database Management
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- `create_vector_database`: Create a new vector database instance
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- `list_databases`: List all available vector database instances
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- `setup_database`: Set up a vector database and create collections
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- `cleanup`: Clean up resources and close connections
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### Document Operations
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- `write_document`: Write a single document to a vector database
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- `write_documents`: Write multiple documents to a vector database
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- `list_documents`: List documents from a vector database
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- `delete_documents`: Delete multiple documents by IDs
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### Query Operations
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- `query`: Query documents using natural language
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- `search`: Perform vector similarity search
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### Collection Management
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- `list_collections`: List all collections in a vector database
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- `get_collection_info`: Get information about a collection
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- `create_collection`: Create a new collection
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### Using curl
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1. **List available tools**:
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```bash
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curl http://localhost:8030/mcp/tools/list
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```
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2. **Create a vector database**:
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```bash
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curl -X POST http://localhost:8030/mcp/tools/call \
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-H "Content-Type: application/json" \
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```
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3. **Write a document**:
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```bash
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curl -X POST http://localhost:8030/mcp/tools/call \
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-H "Content-Type: application/json" \
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```
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4. **Query documents**:
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```bash
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curl -X POST http://localhost:8030/mcp/tools/call \
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-H "Content-Type: application/json" \
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### Project Structure
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```
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```text
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maestro-mcp/
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├── src/ # Source code
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│ ├── main.go # Main entry point
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applications.
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**Configuration**:
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```bash
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MAESTRO_MCP_VECTOR_DB_TYPE=milvus
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MAESTRO_MCP_VECTOR_DB_MILVUS_HOST=localhost
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and vector embeddings.
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**Configuration**:
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```bash
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MAESTRO_MCP_VECTOR_DB_TYPE=weaviate
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MAESTRO_MCP_VECTOR_DB_WEAVIATE_URL=http://localhost:8080
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## API Endpoints
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### Health Check
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```
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```http
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GET /health
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```
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Returns server health status and active vector databases.
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### List Tools
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```
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```http
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GET /mcp/tools/list
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```
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Returns all available MCP tools with their schemas.
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### Call Tool
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```
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```http
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POST /mcp/tools/call
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Content-Type: application/json
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- **macOS**: amd64, arm64 (Apple Silicon)
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- **Windows**: amd64
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### Installation
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### Binary Installation
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1. Download the appropriate binary for your platform
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2. Make it executable: `chmod +x maestro-mcp-*`
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## Changelog
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### v0.1.0
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- Initial release
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- Milvus and Weaviate support
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- Mock database for testing

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