Which integrations are available for this server?

Accesses and processes activity, sleep, and health data from Fitbit for training and recovery analysis. Integrates with Garmin to fetch fitness activities, sleep records, and health metrics for personalized training insights. Provides tools to access and analyze athlete activities, statistics, and routes from Strava for sports science-based fitness planning.

How do I use Pierre Fitness Platform MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Pierre Fitness Platform MCP Server Analyze my training load and tell me if I need a recovery day." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Pierre Fitness Platform MCP Server by jfarcand

Backend CI Cross-Platform Frontend Tests SDK Tests MCP Compliance Mobile Tests

Pierre Fitness Platform connects AI assistants to fitness data from Strava, Garmin, Fitbit, WHOOP, COROS, and Terra (150+ wearables). Implements Model Context Protocol (MCP), A2A protocol, OAuth 2.0, and REST APIs for Claude, ChatGPT, and other AI assistants.

Intelligence System

Sports science-based fitness analysis including training load management, race predictions, sleep and recovery scoring, nutrition planning, and pattern detection.

See Intelligence Methodology and Nutrition Methodology for details.

Features

MCP Protocol: JSON-RPC 2.0 for AI assistant integration
A2A Protocol: Agent-to-agent communication
OAuth 2.0 Server: RFC 7591 dynamic client registration
47 MCP Tools: Activities, goals, analysis, sleep, recovery, nutrition, recipes, configuration
TypeScript SDK: pierre-mcp-client npm package
Pluggable Providers: Compile-time provider selection
TOON Format: Token-Oriented Object Notation output for ~40% LLM token reduction (spec)

Provider Support

Provider	Feature Flag	Capabilities
Strava	`provider-strava`	Activities, Stats, Routes
Garmin	`provider-garmin`	Activities, Sleep, Health
WHOOP	`provider-whoop`	Sleep, Recovery, Strain
Fitbit	`provider-fitbit`	Activities, Sleep, Health
COROS	`provider-coros`	Activities, Sleep, Recovery
Terra	`provider-terra`	150+ wearables, Activities, Sleep, Health
Synthetic	`provider-synthetic`	Development/Testing

Build with specific providers:

cargo build --release # all providers cargo build --release --no-default-features --features "sqlite,provider-strava" # strava only

See Pluggable Provider Architecture.

What You Can Ask

"Calculate my daily nutrition needs for marathon training"
"Analyze my training load - do I need a recovery day?"
"Compare my three longest runs this month"
"Analyze this meal: 150g chicken, 200g rice, 100g broccoli"
"What's my predicted marathon time based on recent runs?"

See Tools Reference for the 47 available MCP tools.

Quick Start

git clone https://github.com/Async-IO/pierre_mcp_server.git cd pierre_mcp_server cp .envrc.example .envrc # edit with your settings direnv allow # or: source .envrc ./bin/setup-and-start.sh # complete setup: fresh DB, admin user, server start

Server starts on http://localhost:8081. See Getting Started for detailed setup.

MCP Client Configuration

Add to Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{ "mcpServers": { "pierre-fitness": { "command": "npx", "args": ["-y", "pierre-mcp-client@next", "--server", "http://localhost:8081"] } } }

The SDK handles OAuth 2.0 authentication automatically. See SDK Documentation.

Available MCP Tools

47 tools organized in 8 categories:

Category	Tools	Description
Core Fitness	6	Activities, athlete profile, provider connections
Goals	4	Goal setting, suggestions, feasibility, progress
Analysis	10	Metrics, trends, patterns, predictions, recommendations
Sleep & Recovery	5	Sleep quality, recovery score, rest recommendations
Nutrition	5	BMR/TDEE, macros, USDA food search, meal analysis
Recipes	7	Training-aware meal planning and recipe storage
Configuration	6	User settings, training zones, profiles
Fitness Config	4	Fitness parameters, thresholds

Full tool reference: docs/tools-reference.md

Server Management

./bin/setup-and-start.sh # complete setup: fresh DB, admin user, server start ./bin/start-server.sh # start backend only (loads .envrc) ./bin/stop-server.sh # stop backend ./bin/start-frontend.sh # start dashboard (http://localhost:5173)

Options for setup-and-start.sh:

--skip-fresh-start - preserve existing database
--run-tests - run workflow tests after startup
--admin-email EMAIL - custom admin email
--admin-password PWD - custom admin password

User Portal Dashboard

Web-based dashboard for users and administrators at http://localhost:5173.

Features

Role-Based Access: super_admin, admin, user roles with permission hierarchy
User Registration: Self-registration with admin approval workflow
API Key Management: Create, view, deactivate API keys
MCP Tokens: Generate tokens for Claude Desktop and AI assistants
Usage Analytics: Request patterns, tool usage charts
Super Admin Impersonation: View dashboard as any user for support

User Roles

Role	Capabilities
User	Own API keys, MCP tokens, analytics
Admin	+ User approval, all users analytics
Super Admin	+ Impersonation, admin tokens, system config

First Admin Setup

cargo run --bin admin-setup -- create-admin-user \ --email admin@example.com \ --password SecurePassword123 \ --super-admin

See Frontend Documentation for detailed dashboard documentation.

Mobile App

React Native mobile app for iOS and Android with conversational AI interface.

Features

AI Chat Interface: Conversational UI with markdown rendering and real-time streaming
Fitness Provider Integration: Connect to Strava, Garmin, Fitbit, WHOOP, COROS via OAuth
Activity Tracking: View and analyze your fitness activities
Training Insights: Get AI-powered training recommendations

Quick Start

cd frontend-mobile bun install bun start # Start Expo development server bun run ios # Run on iOS Simulator

See Mobile App README and Mobile Development Guide.

Documentation

Reference

Getting Started - installation, configuration, first run
Architecture - system design, components, request flow
Protocols - MCP, OAuth2, A2A, REST
Authentication - JWT, API keys, OAuth2 flows
Configuration - environment variables, algorithms

Development

Development Guide - workflow, dashboard, testing
Scripts Reference - 30+ development scripts
CI/CD - GitHub Actions, pipelines
Release Guide - releasing server and SDK to npm
Contributing - code standards, PR workflow

Components

SDK - TypeScript client for MCP integration
Frontend - React dashboard
Mobile - React Native mobile app
Mobile Development - mobile dev setup guide

Methodology

Intelligence - sports science formulas
Nutrition - dietary calculations

Testing

cargo test # all tests ./scripts/lint-and-test.sh # full CI suite ./scripts/smoke-test.sh # quick validation (~3 min)

See Testing Documentation.

Contributing

See Contributing Guide.

License

Dual-licensed under Apache 2.0 or MIT.

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Resources

GitHub Repository

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Related Servers

Pierre Fitness Platform MCP Server

Intelligence System

Features

Provider Support

What You Can Ask

Quick Start

MCP Client Configuration

Available MCP Tools

Server Management

User Portal Dashboard

Features

User Roles

First Admin Setup

Mobile App

Features

Quick Start

Documentation

Reference

Development

Components

Methodology

Testing

Contributing

License

Resources

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