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. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Clubber
A toolset for managing members of non-profit societies (Vereine) with AI-powered administration.
Overview
Clubber provides a GraphQL API for member management combined with an MCP (Model Context Protocol) server that enables AI assistants to help with society administration tasks.
Current Status: Early development - OpenSpec documentation and project structure in place.
Architecture
The system consists of two main components:
-
GraphQL API - Core backend for member data management
- Built with FastAPI and Strawberry GraphQL
- Database-agnostic design (SQLite for development, PostgreSQL for production)
- SQLAlchemy 2.0 ORM with async support
-
MCP Server - AI assistant integration layer
- Connects to the GraphQL API
- Provides tools for AI agents to manage society operations
- Service account authentication
Tech Stack
- Python 3.11+ - Primary language
- uv - Fast package and project manager
- FastAPI - Async web framework
- Strawberry GraphQL - Type-safe GraphQL with Python type hints
- SQLAlchemy 2.0 - Database ORM
- Alembic - Database migrations
Project Structure
clubber/
├── openspec/ # Specification-driven development
│ ├── project.md # Project conventions and context
│ ├── specs/ # Current specifications
│ └── changes/ # Change proposals
├── CLAUDE.md # AI assistant instructions
└── README.md # This file
Getting Started
Prerequisites
- Python 3.11 or higher
- uv package manager
Setup
# Clone the repository
git clone ssh://git@codeberg.org/gurix/clubber.git
cd clubber
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install dependencies
uv sync
# Run database migrations
uv run alembic upgrade head
# (Optional) Seed the database with sample data
PYTHONPATH=. uv run python scripts/seed.py
Running the Server
Start the development server:
uv run uvicorn src.main:app --host 127.0.0.1 --port 8000 --reload
The --reload flag enables auto-restart when code changes are detected.
Access the API:
- GraphQL Playground: http://127.0.0.1:8000/graphql
- API Documentation: http://127.0.0.1:8000/docs
- Root Endpoint: http://127.0.0.1:8000/
API Usage Examples
Member Data Model
Members have the following fields:
firstName(required) - Member's first namelastName(optional) - Member's last namestreet(optional) - Street addressapartmentNumber(optional) - Apartment or unit numberzip(optional) - Postal codecity(optional) - Citycountry(optional) - Countryemail(optional) - Email address (validated when provided)phone(optional) - Phone number in E.164 format (validated when provided)
Key Feature: Only firstName is required. All other fields are optional and can be populated later. Email and phone are validated only when provided (not when null/empty).
GraphQL Queries
List all members:
{
members {
id
firstName
lastName
email
phone
city
}
}
Get a single member:
{
member(id: 1) {
id
firstName
lastName
email
street
city
country
}
}
GraphQL Mutations
Create a member (minimal - only firstName):
mutation {
createMember(input: {
firstName: "Alice"
}) {
id
firstName
email
}
}
Create a member with all fields:
mutation {
createMember(input: {
firstName: "Bob"
lastName: "Johnson"
street: "123 Main St"
apartmentNumber: "4B"
zip: "12345"
city: "Springfield"
country: "USA"
email: "bob.johnson@example.com"
phone: "+14155551234"
}) {
id
firstName
lastName
email
phone
}
}
Update a member:
mutation {
updateMember(input: {
id: 1
email: "updated@example.com"
phone: "+14155559999"
}) {
id
firstName
email
phone
}
}
Delete a member:
mutation {
deleteMember(id: 2)
}
Using curl
Query members:
curl -X POST http://127.0.0.1:8000/graphql \
-H "Content-Type: application/json" \
-d '{"query": "{ members { id firstName lastName email } }"}'
Create a member:
curl -X POST http://127.0.0.1:8000/graphql \
-H "Content-Type: application/json" \
-d '{"query": "mutation { createMember(input: { firstName: \"Charlie\" }) { id firstName } }"}'
MCP Server
The MCP (Model Context Protocol) server enables AI assistants like Claude to manage society members through natural language interactions.
What is MCP?
The Model Context Protocol (MCP) is a standard protocol that allows AI assistants to use tools and access external systems. The Clubber MCP server provides 4 tools that connect to the GraphQL API:
- list_members - List all members with their complete information
- get_member - Get detailed information about a specific member by ID
- create_member - Create a new member (only firstName required)
- update_member - Update an existing member's information
Running the MCP Server
The MCP server requires the GraphQL API to be running first:
# Terminal 1: Start the GraphQL API
uv run uvicorn src.main:app --host 127.0.0.1 --port 8000
# Terminal 2: Run the MCP server
python -m src.mcp_server
Configuration
The MCP server can be configured via environment variables:
# Use a custom API URL (default: http://127.0.0.1:8000/graphql)
export CLUBBER_API_URL="http://localhost:3000/graphql"
python -m src.mcp_server
Integrating with Claude Code
To use the MCP server with Claude Code, add it to your MCP configuration:
For macOS/Linux (~/Library/Application Support/Claude/claude_desktop_config.json or ~/.config/claude/config.json):
{
"mcpServers": {
"clubber": {
"command": "uv",
"args": ["run", "python", "-m", "src.mcp_server"],
"env": {
"CLUBBER_API_URL": "http://127.0.0.1:8000/graphql"
}
}
}
}
Note: The uv run command ensures the virtual environment and dependencies are properly activated. The MCP server will use the current working directory where Claude Code is running, so make sure to open Claude Code from the clubber project directory.
After adding the configuration, restart Claude Code. You can then use natural language to manage members:
- "List all members in the society"
- "Create a new member named Alice"
- "Update member 5's email to alice@example.com"
- "Show me details for member 3"
MCP Server Usage Examples
Once configured, you can interact with the MCP server through Claude Code:
Example 1: Create a member
User: Create a new member named Bob Smith with email bob@example.com
Claude uses create_member tool:
- firstName: "Bob"
- lastName: "Smith"
- email: "bob@example.com"
Result: Member created with ID 1
Example 2: Update member information
User: Update member 1's phone number to +41791234567
Claude uses update_member tool:
- id: 1
- phone: "+41791234567"
Result: Member updated successfully
Example 3: List all members
User: Show me all members in the society
Claude uses list_members tool and displays formatted results:
- Bob Smith (bob@example.com, +41791234567)
- Alice Johnson (alice@example.com)
...
Development Workflow
This project uses OpenSpec for specification-driven development:
- Review existing specs in
openspec/specs/ - Create change proposals in
openspec/changes/before implementing features - Validate proposals with
openspec validate --strict - Implement changes following the proposal
- Archive completed changes after deployment
See openspec/AGENTS.md for detailed workflow instructions.
Working with Git Worktrees
We use git worktrees for parallel development:
# Create a worktree for a feature branch
git worktree add ../clubber-feature-name feature/feature-name
# Work in the worktree
cd ../clubber-feature-name
# Remove worktree after merge
git worktree remove ../clubber-feature-name
Contributing
- Read
openspec/project.mdfor project conventions - For new features, create an OpenSpec proposal first
- Follow the coding style (Black, isort, ruff)
- Write tests for new functionality
- Use conventional commits (
feat:,fix:,docs:, etc.)
License
The MIT License
Contact
Markus Graf - info@markusgraf.ch
Acknowledgments
Built with support from: