feat: Generic MCP evaluation framework #1377
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Reusable framework for evaluating ANY MCP server integration with amplihack. ## Purpose Empirically measure MCP tool value through controlled comparisons of baseline vs tool-enhanced coding workflows. ## Features **Generic Design**: - Works with ANY MCP tool (not specific to one tool) - Tool adapter pattern for extensibility - Pluggable: Add new tools with config + adapter only **Comprehensive Metrics**: - Quality: Correctness, completeness, code quality - Efficiency: Tokens, time, file ops, tool calls - Tool-specific: Feature usage, effectiveness **3 Generic Test Scenarios**: 1. Cross-File Navigation - Finding code across files 2. Code Understanding - Analyzing structure and dependencies 3. Targeted Modification - Making precise edits **Automated Reporting**: - Executive summaries with recommendations - Detailed comparisons - Statistical analysis ## Architecture Framework (tests/mcp_evaluation/): - framework/ - 6 core modules (1,367 lines) - scenarios/ - 3 generic tests with realistic codebase - tools/ - Tool adapter base class - Documentation - Complete specs and guides ## Usage ```bash # Run framework tests python tests/mcp_evaluation/test_framework.py # Evaluate a tool (requires adapter) python tests/mcp_evaluation/run_evaluation.py --tool <name> ``` ## Extensibility Add new MCP tool: 1. Create config: `tools/<tool>_config.yaml` 2. Create adapter: `tools/<tool>_adapter.py` 3. Run evaluation with same scenarios ## Testing - 6 framework tests: ALL PASSING - Mock evaluation: Working - No test results committed (results/ in .gitignore) ## Philosophy - Ruthless Simplicity: Core framework < 1,500 lines - Brick Design: Self-contained, regeneratable - Zero-BS: No stubs or placeholders - Measurement-Driven: Real execution data This framework provides evidence-based guidance for MCP integration decisions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Automation Script AvailableAutomated evaluation script created and tested with real Serena evaluation! Location: ======================================================================
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Real A/B testing automation for MCP tool evaluation. Proven with Serena: 16.6% average speedup. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Add architectural design documents for power-steering mode that were created during implementation but never committed to the repository. Background: - Power-steering mode was implemented in PR #1351 (issue #1350) - These architectural specs were created during design phase - Never committed, leaving knowledge gap for future maintainers Documentation Added: - POWER_STEERING_SUMMARY.md - Overview and key design decisions - power_steering_architecture.md - Complete system architecture - considerations_format.md - Structure for 21 considerations - control_mechanisms.md - Enable/disable control system - edge_cases.md - Edge case handling and error scenarios - implementation_phases.md - Implementation phases and rollout - power_steering_checker.md - Checker implementation details - power_steering_config.md - Configuration file format - stop_py_integration.md - Integration with stop hook Value: ✅ Preserves architectural knowledge for future maintainers ✅ Documents design decisions and rationale ✅ Explains implementation phases and evolution ✅ Provides configuration and customization guide Related: - Original issue: #1350 (closed) - Implementation PR: #1351 (merged) - Follow-up fix: #1384 (merged) Fixes #1390 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
…1377) Creates comprehensive user documentation to make the MCP Evaluation Framework discoverable and accessible to end users. Without these docs, users cannot find or effectively use the framework introduced in PR #1377. ## New Documentation - docs/mcp_evaluation/README.md: Entry point with quick start guide - docs/mcp_evaluation/USER_GUIDE.md: Complete end-to-end user journey (400+ lines) - README.md: Added MCP Tool Evaluation section with link to docs ## Key Features - Discovery: Main README links to MCP evaluation docs - Orientation: Entry point explains what, why, and who - Tutorial: Step-by-step guide from setup through decision-making - Pirate style: Follows user communication preferences - Philosophy-aligned: Ruthless simplicity and clarity ## Additional Changes Includes pre-commit auto-fixes (formatting, whitespace, end-of-file) applied across the codebase during commit validation. ## Dependencies Documentation references framework code from PR #1377 (feat/mcp-evaluation-framework). Both PRs should be merged together or this PR should wait for #1377. Resolves #1400 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
…valuation-docs # Conflicts: # Specs/POWER_STEERING_SUMMARY.md # Specs/considerations_format.md # Specs/control_mechanisms.md # Specs/edge_cases.md # Specs/implementation_phases.md # Specs/power_steering_architecture.md # Specs/power_steering_checker.md # Specs/power_steering_config.md # Specs/stop_py_integration.md
…ons only The pirate communication style should only apply to conversational interactions with the user, NOT to documentation or other end-user artifacts. ## Changes - Updated USER_PREFERENCES.md to clarify scope of pirate style - Rewrote docs/mcp_evaluation/README.md in professional language - Rewrote docs/mcp_evaluation/USER_GUIDE.md in professional language ## What Was Changed Removed pirate phrases and replaced with professional equivalents: - "Ahoy, matey!" → "Welcome" or removed - "ye/yer" → "you/your" - "be" → "is" - "fer" → "for" - "Arr!" → removed ## What Was Preserved ✓ All technical content and accuracy ✓ Complete structure and organization ✓ All examples, commands, and code blocks ✓ All metrics, tables, and workflows The documentation is now professional and suitable for all users while conversational interactions remain in pirate style per user preference. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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This PR needs more testing before it can be merged. Please ensure:
Moving to draft status until testing is complete. |
…ocs' into feat/mcp-evaluation-framework
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Documentation AddedThis PR now includes comprehensive user-facing documentation (merged from PR #1401): New Documentation Files
Why CombinedFramework + documentation ship together as one complete, atomic feature:
Related: PR #1401 (now closed - merged into this PR) |
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Nov 23, 2025
## Summary Reusable framework for evaluating ANY MCP server integration with amplihack through empirical measurement. ## Purpose Provides evidence-based guidance for MCP integration decisions by measuring real performance improvements (or lack thereof) through controlled comparisons. ## Features ### Generic Design - Works with ANY MCP tool (Serena, GitHub Copilot MCP, future tools) - Tool adapter pattern - tool-specific logic isolated to adapters - Same test scenarios work for all tools ### Comprehensive Metrics - **Quality**: Correctness, completeness, code quality - **Efficiency**: Tokens, time, file operations, tool calls - **Tool-Specific**: Feature usage, effectiveness ### 3 Generic Test Scenarios 1. **Cross-File Navigation** - Finding code across files 2. **Code Understanding** - Analyzing structure and dependencies 3. **Targeted Modification** - Making precise edits ### Automated Reporting - Executive summaries with recommendations - Detailed per-scenario comparisons - Statistical analysis ## Architecture ``` tests/mcp_evaluation/ ├── framework/ # 6 core modules (1,367 lines) │ ├── types.py # Data structures │ ├── adapter.py # Tool adapter interface │ ├── metrics.py # Metrics collection │ ├── evaluator.py # Main engine │ └── reporter.py # Report generation ├── scenarios/ # 3 generic tests + realistic codebase ├── tools/ # Tool adapter base class └── docs/ # Complete specs and guides ``` ## Changes **40 files, 8,249 insertions**: - Framework core (6 modules) - 3 generic test scenarios - Realistic test codebase (16 files) - Design specifications (5 docs in Specs/) - Documentation (README, Quick Start, Implementation Summary) ## Philosophy - **Ruthless Simplicity**: Core < 1,500 lines, focused on one problem - **Brick Design**: Self-contained, regeneratable framework - **Zero-BS**: No stubs or placeholders - **Measurement-Driven**: Real execution data, not estimates ## Note This is a clean replacement for PR #1377, which had 193 files due to branch merge issues. This PR contains ONLY the 40 MCP-related files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <[email protected]>
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Closing this PR in favor of #1533, which contains only the MCP evaluation framework files. Problem with this PR:
Clean replacement:
See DISCOVERIES.md entry "PR Scope Creep from Branch Merging" for prevention patterns. |
rysweet
added a commit
that referenced
this pull request
Nov 23, 2025
## Summary Reusable framework for evaluating ANY MCP server integration with amplihack through empirical measurement. ## Purpose Provides evidence-based guidance for MCP integration decisions by measuring real performance improvements (or lack thereof) through controlled comparisons. ## Features ### Generic Design - Works with ANY MCP tool (Serena, GitHub Copilot MCP, future tools) - Tool adapter pattern - tool-specific logic isolated to adapters - Same test scenarios work for all tools ### Comprehensive Metrics - **Quality**: Correctness, completeness, code quality - **Efficiency**: Tokens, time, file operations, tool calls - **Tool-Specific**: Feature usage, effectiveness ### 3 Generic Test Scenarios 1. **Cross-File Navigation** - Finding code across files 2. **Code Understanding** - Analyzing structure and dependencies 3. **Targeted Modification** - Making precise edits ### Automated Reporting - Executive summaries with recommendations - Detailed per-scenario comparisons - Statistical analysis ## Architecture ``` tests/mcp_evaluation/ ├── framework/ # 6 core modules (1,367 lines) │ ├── types.py # Data structures │ ├── adapter.py # Tool adapter interface │ ├── metrics.py # Metrics collection │ ├── evaluator.py # Main engine │ └── reporter.py # Report generation ├── scenarios/ # 3 generic tests + realistic codebase ├── tools/ # Tool adapter base class └── docs/ # Complete specs and guides ``` ## Changes **40 files, 8,249 insertions**: - Framework core (6 modules) - 3 generic test scenarios - Realistic test codebase (16 files) - Design specifications (5 docs in Specs/) - Documentation (README, Quick Start, Implementation Summary) ## Philosophy - **Ruthless Simplicity**: Core < 1,500 lines, focused on one problem - **Brick Design**: Self-contained, regeneratable framework - **Zero-BS**: No stubs or placeholders - **Measurement-Driven**: Real execution data, not estimates ## Note This is a clean replacement for PR #1377, which had 193 files due to branch merge issues. This PR contains ONLY the 40 MCP-related files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude <[email protected]>
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Summary
Reusable framework for evaluating ANY MCP server integration with amplihack through empirical measurement.
Purpose
Provides evidence-based guidance for MCP integration decisions by measuring real performance improvements (or lack thereof) through controlled comparisons.
Features
Generic Design
Comprehensive Metrics
3 Generic Test Scenarios
Automated Reporting
Architecture
Usage
Extensibility
Add new MCP tool evaluation:
tools/<tool>_config.yaml(describes capabilities)tools/<tool>_adapter.py(enable/disable/metrics)Changes
38 files, 6,830 insertions
New Files:
Key Decisions:
Testing
Philosophy
Future Use
This framework enables data-driven MCP integration decisions for:
🤖 Generated with Claude Code
Co-Authored-By: Claude [email protected]