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AI fitness logging with user-approved tools.

GemFit combines mobile fitness logging with a secure MCP server. Approved AI clients can use the MCP to read the authenticated user's profile, goals, day summaries, recent trends, and logs, then create editable review drafts for messy meals, workouts, body metrics, plans, updates, and deletes.

Find the MCP

Remote MCP: https://gemfit.ai/api/gemfit/mcp
OAuth:      https://gemfit.ai/.well-known/oauth-protected-resource/api/gemfit/mcp
Docs:       https://gemfit.ai/mcp
Plain text: https://gemfit.ai/mcp.txt
Connect:    https://gemfit.ai/connect

Claude Code command:

claude mcp add --transport http gemfit https://gemfit.ai/api/gemfit/mcp

LM Studio mcp.json:

{
  "mcpServers": {
    "gemfit": {
      "url": "https://gemfit.ai/api/gemfit/mcp"
    }
  }
}

Logging flow

Security boundaries

GemFit MCP exposes user-owned fitness data only. It cannot access Systalog admin, billing admin, deployments, Supabase service role, schema changes, env vars, role changes, email systems, or other users.

What stays under the user's control

Connecting an assistant does not give it silent permission to rewrite a fitness history. Read scopes are separate from draft and confirmation scopes, and the connected user reviews the requested access before authorizing it. Food, workout, body-metric, plan, edit, and delete tools prepare structured actions that remain attributable to the authenticated account.