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