GemFit.ai Developers

GemFit MCP setup.

GemFit provides a secure Model Context Protocol server for authenticated users. Use it when a user asks Claude Code, OpenAI/Codex, OpenClaw, LM Studio, MCP Inspector, or another compatible assistant to read GemFit context or prepare food, workout, body metric, plan, edit, or delete review drafts.

Canonical MCP endpoint

https://gemfit.ai/api/gemfit/mcp

Claude Code setup

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

Claude app + mobile setup

On Claude web, open Customize → Connectors → Add custom connector.
Choose HTTP transport and paste https://gemfit.ai/api/gemfit/mcp.
Complete GemFit OAuth once in the browser.
Open Claude mobile and enable GemFit from the chat connector/tools menu.

Claude mobile can use the account-level connector after web setup. Add new custom connectors from Claude web.

Generic HTTP MCP client config

{
  "name": "GemFit MCP",
  "transport": "http",
  "url": "https://gemfit.ai/api/gemfit/mcp"
}

LM Studio mcp.json

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

OAuth 2.1 + PKCE metadata is published at /.well-known/oauth-protected-resource/api/gemfit/mcp and /.well-known/oauth-authorization-server. Users approve scopes in GemFit Connect.

Important behavior

Always call gemfit_get_profile_context before estimating workout calorie burn.
Call gemfit_get_data_quality_report before cleaning messy existing logs.
Use gemfit_create_workout_log_draft for same-day workouts that should appear on Home/Log.
Use OAuth for user access. Standard clients do not need a user API key.
External writes create editable review cards first; saves require user approval.
Use gemfit_reject_pending_actions when the user asks to dismiss stale review drafts.
Use MCP tool responses, not public pages, as the source of truth for connected-client behavior.
Never ask for GemFit admin, database, billing, deployment, env var, or service-role access through MCP.

Full MCP docs: https://gemfit.ai/mcp. Plain text: https://gemfit.ai/mcp.txt. User review portal: https://gemfit.ai/connect.