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Securely access user fitness profiles, progress, and health logs via MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fitness-mcp" yet — see the docs or source repo.
Use fitness-mcp to fetch a specific user's fitness profile and return their basic information plus an overview of available health data.
Returns the user's profile information and a summary of accessible data types such as progress, meal, workout, and weight logs.
Using fitness-mcp, read a user's workout logs and weight logs from the last 30 days, organize them into a timeline, and summarize the trends.
Outputs date-sorted workout and weight records with a brief summary of recent changes.
Use fitness-mcp to retrieve a user's meal logs, check for missing dates in the past week, and list the recorded meal information.
Returns a list of meal records for the past week and flags any dates with missing entries.
Developers can connect this MCP tool to an MCP-compatible AI assistant and use JWT-based per-user authorization to securely access each user's fitness profile and logs.
Data analysts or researchers can read progress, meal, workout, and weight logs to build timelines, observe trends, or perform basic summary analysis.
It is a health-data MCP server that exposes fitness-related user data through MCP tools, including profiles, progress, meal logs, workout logs, and weight logs.
It uses per-user authorization based on JWT tokens. This means access to each user's data can be controlled separately and securely.
We only know that it is an MCP server and uses JWT for authorization. The provided material does not specify detailed installation, deployment, or runtime requirements; see the source repository.
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