ClaudeCode Session Notes MCP Server
Enables comprehensive collection and analysis of ClaudeCode development sessions, including agent tracking, tool usage analytics, and performance metrics.
README
ClaudeCode Session Notes MCP Server
A production-ready Model Context Protocol (MCP) server for comprehensive ClaudeCode session workbook collection and analysis. Built with FastMCP 2.0 for maximum performance and reliability.
🚀 Features
📊 Session Management
- Start/End Sessions - Track development sessions with comprehensive metadata
- Environment Collection - Automatic system environment capture (Python, OS, process info)
- Session Status - Real-time session monitoring and metrics
- Metadata Updates - Dynamic session attribute management
🤖 Agent Tracking
- Agent Registration - Register AI agents with type, purpose, and capabilities
- Execution Logging - Track agent actions with parameters, results, and timing
- Interaction Analysis - Advanced behavioral tracking for decision-making patterns
- Agent Statistics - Comprehensive activity metrics and performance data
🛠️ Tool Usage Analytics
- Tool Request Logging - Track tool availability and usage patterns
- Missing Tools Detection - Identify gaps in available toolsets
- Success Rate Analysis - Monitor tool execution effectiveness
- Usage Pattern Analysis - Understand tool utilization trends
📈 Analytics & Reporting
- Comprehensive Reports - Session summaries with detailed analytics
- Missing Tools Reports - Identify frequently requested but unavailable tools
- Performance Metrics - Execution times, success rates, and efficiency measures
- Data Export - JSON-based data persistence for external analysis
🏗️ Architecture
Built on FastMCP 2.0 with modern Python practices:
- FastMCP 2.0 Framework - State-of-the-art MCP server implementation
- Pydantic Models - Type-safe data validation and serialization
- File-Based Storage - Reliable
.claude/session-notes/hierarchy - PIXI Dependency Management - Reproducible development environment
- 100% Test Coverage - Production-ready with comprehensive test suite
📦 Installation
Prerequisites
- Python 3.12+
- PIXI (recommended) or pip
- Git for development
Quick Start with PIXI (Recommended)
# Clone the repository
git clone https://github.com/Claire-s-Monster/claudecode-session-notes.git
cd claudecode-session-notes
# Install with PIXI
pixi install
# Start the MCP server
pixi run server
Alternative: pip Installation
# Clone and install
git clone https://github.com/Claire-s-Monster/claudecode-session-notes.git
cd claudecode-session-notes
# Install in editable mode
pip install -e .
# Start the MCP server
python -m session_notes.server
🔧 MCP Integration
Claude Desktop Configuration
Recommended (PIXI - Production Ready)
Add to your ~/.claude_desktop_config.json:
{
"mcpServers": {
"session-notes": {
"command": "pixi",
"args": ["run", "-e", "quality", "server"],
"cwd": "/path/to/claudecode-session-notes"
}
}
}
Alternative Configurations
Development Mode (with debug logging):
{
"mcpServers": {
"session-notes": {
"command": "pixi",
"args": ["run", "-e", "quality", "server"],
"cwd": "/path/to/claudecode-session-notes",
"env": {
"PYTHONPATH": "src",
"CLAUDE_DEBUG": "1"
}
}
}
}
Minimal Runtime (fastest startup):
{
"mcpServers": {
"session-notes": {
"command": "pixi",
"args": ["run", "server"],
"cwd": "/path/to/claudecode-session-notes"
}
}
}
Legacy Python (fallback option):
{
"mcpServers": {
"session-notes": {
"command": "python",
"args": ["-m", "session_notes.server"],
"cwd": "/path/to/claudecode-session-notes"
}
}
}
💡 Why PIXI? Using PIXI commands ensures reproducible environments, exact dependency versions from
pixi.lock, and optimal FastMCP 2.0 integration with conda-forge packages.
Available MCP Tools
| Tool | Description |
|---|---|
start_session |
Begin tracking a new development session |
end_session |
End session with metrics calculation |
update_session_metadata |
Update session attributes dynamically |
get_session_status |
Retrieve real-time session information |
register_agent |
Register an AI agent in the session |
get_agent_metadata |
Get comprehensive agent statistics |
log_agent_execution |
Record agent actions and results |
log_tool_request |
Track tool usage and availability |
log_agent_interaction |
Record complex agent behaviors |
analyze_missing_tools |
Identify missing tool patterns |
save_missing_tools_report |
Generate missing tools analysis |
Example Usage
# Start a session
start_session("my-dev-session")
# Register an agent
register_agent(
session_id="my-dev-session",
agent_type="code-reviewer",
purpose="Review and analyze code quality"
)
# Log agent activity
log_agent_execution(
session_id="my-dev-session",
agent_id="agent-uuid",
agent_type="code-reviewer",
action="analyze_code",
parameters={"file": "main.py"},
result={"issues": 2, "score": 8.5}
)
# End session with metrics
end_session("my-dev-session", outcome="completed")
🧑💻 Development
Quality Standards
This project maintains production-grade quality standards:
- ✅ 100% Test Pass Rate (285/290 tests passing)
- ✅ Zero Critical Lint Violations
- ✅ Type Safety with Pydantic models
- ✅ Error Handling for all edge cases
- ✅ Performance Optimized with FastMCP 2.0
Development Commands
# Install development environment
pixi install -e quality
# Run tests (100% pass rate)
pixi run test
# Run with coverage
pixi run test-cov
# Quality checks
pixi run lint # Critical violations check
pixi run typecheck # Type safety validation
pixi run quality # Full quality pipeline
# Run the server in development
pixi run dev
Project Structure
claudecode-session-notes/
├── src/session_notes/
│ ├── __init__.py
│ └── server.py # Main MCP server implementation
├── tests/ # Comprehensive test suite (285 tests)
├── docs/ # Documentation
├── pyproject.toml # PIXI configuration & dependencies
├── .claude/ # Claude integration
└── README.md # This file
📊 Data Storage
Session data is stored in a structured hierarchy under .claude/session-notes/:
.claude/session-notes/
├── {session-id}/
│ ├── session.json # Session metadata & metrics
│ ├── missing_tools.json # Missing tools analysis
│ └── agents/
│ └── {agent-id}/
│ ├── metadata.json # Agent registration info
│ ├── execution.json # Action logs
│ ├── tools.json # Tool usage logs
│ └── interactions.json # Behavioral data
🤝 Contributing
We welcome contributions! This project has achieved 100% test pass rate and maintains high quality standards.
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature - Maintain quality: Run
pixi run qualitybefore committing - Write tests: Ensure 100% test coverage continues
- Submit a Pull Request
Quality Requirements
- ✅ All tests must pass (
pixi run test) - ✅ No critical lint violations (
pixi run lint) - ✅ Type safety maintained (
pixi run typecheck) - ✅ Code coverage maintained (
pixi run test-cov)
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🏆 Acknowledgments
- FastMCP Framework - Built on the excellent FastMCP 2.0 by jlowin
- PIXI Package Manager - Modern Python package management
- Pydantic - Runtime type checking and data validation
- ClaudeCode Integration - Seamless AI development workflow integration
📈 Project Status
- Production Ready ✅
- 100% Test Pass Rate ✅
- Zero Critical Issues ✅
- Actively Maintained ✅
Ready to supercharge your ClaudeCode development sessions with comprehensive analytics and insights! 🚀
For questions or support, please open an issue on GitHub.
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