Beeminder
Integrates with the Beeminder API to enable retrieval and analysis of personal productivity goals and progress data.
This MCP server implementation provides a bridge to the Beeminder API, enabling AI assistants to interact with Beeminder goals and data. Developed by strickvl, it offers a tool for retrieving detailed information about specific Beeminder goals, including optional datapoint retrieval. The server is built using Python and integrates with the FastMCP framework and Beeminder client library. It focuses on secure API key management and robust error handling. This implementation is particularly useful for AI applications that need to monitor or analyze personal productivity goals, track progress, or integrate Beeminder data into broader productivity workflows.
Source
Repository: https://github.com/strickvl/mcp-beeminder
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