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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。