Basecamp MCP Server
Connects Basecamp workspaces to AI tools, enabling management of projects, messages, todos, and schedules through natural language interactions. Features persistent caching and supports both reading workspace data and performing actions like creating messages and updating todos.
README
Basecamp MCP Server
Connect your Basecamp workspace to Claude and other AI tools via the Model Context Protocol.
Setup
1. Get Basecamp API Credentials
- Go to Basecamp and log in
- Click your profile → "Settings" → "Personal access tokens" (or "Integrations & apps" → "API credentials")
- Create a new token (it needs "all access")
- Copy the token
- Find your Account ID in the URL when you're in your workspace (e.g.,
https://3.basecamp.com/ACCOUNT_ID)
2. Set Environment Variables
export BASECAMP_API_TOKEN="your_token_here"
export BASECAMP_ACCOUNT_ID="your_account_id_here"
Or create a .env file in the project root (add to .gitignore):
BASECAMP_API_TOKEN=your_token_here
BASECAMP_ACCOUNT_ID=your_account_id_here
3. Install Dependencies
uv sync
4. Run the Server
uv run python -m basecamp_mcp.server
Or run it directly:
uv run python src/basecamp_mcp/server.py
Features
Tools (Functions Claude Can Call)
get_projects- List all Basecamp projectsget_project_details- Get detailed info about a projectget_messages- Get recent messages from a projectget_message_with_comments- Get a specific message with all commentsget_todos- Get todo items (with optional filtering by completion)create_message- Create a new message in a projectupdate_todo- Mark a todo as complete/incompleteget_schedules- Get schedules from a projectclear_cache- Clear all cached dataget_cache_stats- View cache statistics
Resources (Data Claude Can Read)
basecamp://projects- List of all projectsbasecamp://project/{project_id}/summary- Project summary with recent activity
Caching
The server uses SQLite for persistent caching with TTL (Time To Live):
- Projects: 5 minutes cache
- Messages: 2 minutes cache
- Todos: 2 minutes cache
- Project details: 10 minutes cache
Use get_cache_stats to see cache hit rates and size, or clear_cache to force fresh data.
Project Structure
BaseCampMCP/
├── src/
│ └── basecamp_mcp/
│ ├── __init__.py
│ ├── server.py # Main MCP server with tools & resources
│ └── cache.py # SQLite cache manager
├── pyproject.toml # Project configuration
└── README.md
Integration with Claude Desktop
To use with Claude Desktop:
- Edit
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or the Windows equivalent - Add the server:
{
"mcpServers": {
"basecamp": {
"command": "uv",
"args": ["run", "--with", "mcp", "python", "-m", "basecamp_mcp.server"],
"cwd": "/Users/kaustubh/Documents/BaseCampMCP"
}
}
}
- Restart Claude Desktop
Development
Testing the Server
# Run with verbose logging
uv run python -m basecamp_mcp.server
Viewing Cache
The cache database is stored in basecamp_cache.db in your working directory. You can inspect it with:
sqlite3 basecamp_cache.db
sqlite> SELECT key, hits, expires_at FROM cache ORDER BY hits DESC;
API Reference
Basecamp API v1 Endpoints Used
GET /projects.json- List projectsGET /projects/{id}.json- Get project detailsGET /projects/{id}/messages.json- List messagesGET /projects/{id}/messages/{message_id}.json- Get messageGET /projects/{id}/messages/{message_id}/comments.json- Get commentsGET /projects/{id}/todos.json- List todosGET /projects/{id}/todolists/{list_id}/todos.json- Get todos from listPUT /projects/{id}/todos/{todo_id}.json- Update todoPOST /projects/{id}/messages.json- Create messageGET /projects/{id}/schedules.json- List schedules
License
MIT
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