
Fitaf Ai Fitaf Ai Mcp
Let your coding agent log workouts, meals, goals, and wearable sync on FitAF without leaving the chat.
Overview
FitAF AI MCP is a Build-phase MCP server that lets agents manage FitAF workouts, nutrition, goals, progress, and wearable sync over Smithery.
What is this MCP server?
- Manage workouts, nutrition, goals, and progress across FitAF from MCP tools
- Connect wearables and sync activity into one agent-accessible surface
- Streamable HTTP remote on Smithery with Bearer auth
- Version 1.0.0 server schema aligned with MCP 2025-09-29
- Smithery-hosted endpoint—no local server repo required to register
- Server version 1.0.0 per MCP 2025-09-29 schema
- Single streamable-http remote on server.smithery.ai
- One required secret header: Authorization Bearer smithery_api_key
What problem does it solve?
Fitness data lives in FitAF and wearables while your agent cannot read or update plans without a dedicated API integration.
Who is it for?
Solo builders prototyping fitness, coaching, or habit products that should read and write FitAF data through an agent.
Skip if: Teams that do not use FitAF or only need generic step-count APIs with no FitAF account.
What do I get? / Deliverables
After registration, your agent can query and update FitAF training and nutrition context inside the same coding session.
- Registered Smithery remote pointing at @fitaf-ai/fitaf-ai-mcp
- Agent-callable tools for workouts, nutrition, goals, and progress
- Wearable-connected sync path into agent workflows
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Journey fit
FitAF is an external platform connection; builders wire it during product integration, not during ideation or ops monitoring. Workout, nutrition, goal, and wearable APIs are classic third-party hooks in the integrations subphase.
How it compares
MCP integration to FitAF, not a local fitness skill or workout plan generator.
Common Questions / FAQ
Who is ai.smithery/fitaf-ai-fitaf-ai-mcp for?
Indie developers and agent users on FitAF who want wearable-backed workout and nutrition control from Claude Code, Cursor, or Codex.
When should I use ai.smithery/fitaf-ai-fitaf-ai-mcp?
Use it when you are building or operating tooling that must sync goals, logs, or wearable data with FitAF during the integrations phase.
How do I add ai.smithery/fitaf-ai-fitaf-ai-mcp to my agent?
Create a Smithery API key, add the streamable-http remote URL in your MCP config, and set Authorization to Bearer your Smithery key.