Building an MCP Server for Beeminder: Connecting AI Assistants to Personal Data

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The article details the creation of a Model Context Protocol (MCP) server for Beeminder, a goal-tracking platform. It explains how MCP standardizes connections between AI assistants (Claude, Cursor) and external data, allowing for natural language queries and updates to personal goal data. The author describes the development process using Python and the Beeminder API, highlighting the role of AI in coding the server and its practical applications for data analysis and goal management.

Building an MCP Server for Beeminder: Connecting AI Assistants to Personal Data

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