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:

1. 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

2. 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 name
• lastName (optional) - Member's last name
• street (optional) - Street address
• apartmentNumber (optional) - Apartment or unit number
• zip (optional) - Postal code
• city (optional) - City
• country (optional) - Country
• email (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": "python",
      "args": ["-m", "src.mcp_server"],
      "cwd": "/absolute/path/to/clubber",
      "env": {
        "CLUBBER_API_URL": "http://127.0.0.1:8000/graphql"
      }
    }
  }
}

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:

1. Review existing specs in openspec/specs/
2. Create change proposals in openspec/changes/ before implementing features
3. Validate proposals with openspec validate --strict
4. Implement changes following the proposal
5. 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

1. Read openspec/project.md for project conventions
2. For new features, create an OpenSpec proposal first
3. Follow the coding style (Black, isort, ruff)
4. Write tests for new functionality
5. Use conventional commits (feat:, fix:, docs:, etc.)

License

The MIT License

Contact

Markus Graf - info@markusgraf.ch

Acknowledgments

Built with support from:

• Strawberry GraphQL
• FastAPI
• OpenSpec