Wellness Project: MCP server, setup and security

What Wellness Project does

According to its repository: “Read workouts, sleep, nutrition and recovery data from Apple Health, Fitbit, Oura and Google Health Connect, with inline chart widgets.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Wellness Project is listed under Sports, a category of 27 servers in the directory, where it ranks #24 by stars.

Topics declared by the repository: anthropic, apple-health, chatgpt, claude, claude-mcp, fitbit.

Installing and connecting Wellness Project

Distribution modes declared in the official MCP registry:

• remote server (streamable-http): you connect to it by URL, with nothing to install locally

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Wellness Project. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 28, 2026, the turnnoblindeye/wellness-project-mcp repository has 2 stars and 0 forks, with 0 open issues. It has more stars than 8% of the servers in the directory. It received changes this month. Version published in the registry: 1.2.1 (September 7, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.