Update the Claude Code MCP configuration to use 'uv run' instead of
direct python execution. This ensures the virtual environment and
dependencies are properly activated when the MCP server starts.
Also added a note about working directory requirements.
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Co-Authored-By: Claude <noreply@anthropic.com>
This change implements a Model Context Protocol (MCP) server that
enables AI assistants to manage society members through natural
language interactions.
Changes:
- Add MCP server implementation (src/mcp_server.py)
- Implement 4 core tools:
* list_members - Query all members
* get_member - Get specific member by ID
* create_member - Create new member
* update_member - Update member information
- Add mcp and httpx dependencies to pyproject.toml
- Update README with comprehensive MCP server documentation
- Create OpenSpec proposal in openspec/changes/add-mcp-server/
The MCP server connects to the GraphQL API via HTTP and provides
structured tools that abstract away GraphQL complexity.
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Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive documentation for running the GraphQL API:
- Complete setup instructions (dependencies, migrations, seeding)
- Server startup commands and endpoints
- Member data model documentation
- GraphQL query and mutation examples
- curl command examples
Replace placeholder "when implemented" comments with actual working instructions.
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Co-Authored-By: Claude <noreply@anthropic.com>
Add comprehensive README.md documenting project purpose, architecture,
tech stack, and development workflow. Includes OpenSpec proposal
(add-initial-readme) with project documentation specification.
The README describes current state only (early development phase) and
serves as entry point for developers and AI assistants.
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Co-Authored-By: Claude <noreply@anthropic.com>
gurixandClaude