{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_adrian-garmin-mcp","slug":"adrian-garmin-mcp","name":"garmin-mcp","type":"mcp","url":"https://smithery.ai/servers/adrian/garmin-mcp","page_url":"https://unfragile.ai/adrian-garmin-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:adrian/garmin-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_adrian-garmin-mcp__cap_0","uri":"capability://tool.use.integration.garmin.device.data.synchronization.via.mcp.protocol","name":"garmin device data synchronization via mcp protocol","description":"Enables Claude and other MCP-compatible AI models to establish bidirectional communication with Garmin wearables and fitness devices through the Model Context Protocol. Implements MCP server architecture that translates Garmin device APIs into standardized tool definitions, allowing language models to query real-time health metrics, activity data, and device status without direct API integration overhead.","intents":["I want Claude to access my Garmin watch data to analyze my fitness trends","I need to build an AI agent that can retrieve my latest workout metrics and heart rate data","I want to query my Garmin device data through a standardized protocol without managing API credentials directly"],"best_for":["AI developers building health/fitness agents with Claude or other MCP-compatible models","Teams integrating Garmin data into LLM-powered health analytics applications","Builders prototyping personal health AI assistants with wearable device integration"],"limitations":["Requires active Garmin Connect account and valid device pairing","Data freshness depends on device sync frequency with Garmin cloud (typically 15-60 minutes)","No write-back capability to modify device settings or clear data remotely","Limited to data types exposed by Garmin Connect API; proprietary metrics may be unavailable"],"requires":["MCP-compatible AI client (Claude via Claude Desktop or API with MCP support)","Garmin Connect account with active device","Garmin API credentials (OAuth token or API key)","Network connectivity to Garmin servers"],"input_types":["natural language queries","date ranges for historical data","device identifiers"],"output_types":["structured JSON with activity metrics","time-series health data","device status information","aggregated fitness summaries"],"categories":["tool-use-integration","health-fitness-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adrian-garmin-mcp__cap_1","uri":"capability://data.processing.analysis.real.time.activity.and.health.metric.retrieval.from.garmin.devices","name":"real-time activity and health metric retrieval from garmin devices","description":"Provides structured access to current and historical activity data from paired Garmin devices including steps, heart rate, sleep metrics, stress levels, and workout summaries. Implements query patterns that map natural language requests to Garmin Connect API endpoints, returning parsed JSON responses with typed fields for metrics like calories burned, distance, elevation gain, and biometric data.","intents":["Get my step count and heart rate data for today","Retrieve my last 7 days of sleep metrics and stress levels","Fetch details about my most recent workout including duration and calories burned"],"best_for":["Health-conscious developers building personal analytics dashboards","AI agents that need to understand user fitness context for personalized recommendations","Applications requiring real-time biometric data for health monitoring"],"limitations":["Data granularity varies by device type; older Garmin devices may not support all metrics","Historical data retention depends on Garmin Connect subscription tier","Requires device to have synced with Garmin cloud within last sync window","No access to raw sensor data; only aggregated metrics from Garmin's processing pipeline"],"requires":["Garmin device with active Garmin Connect sync","Valid Garmin Connect API credentials","MCP server running and accessible to AI client"],"input_types":["date range parameters","metric type selectors","device identifiers"],"output_types":["JSON objects with typed metric fields","time-series arrays","aggregated daily/weekly summaries"],"categories":["data-processing-analysis","health-fitness-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adrian-garmin-mcp__cap_2","uri":"capability://tool.use.integration.multi.device.garmin.ecosystem.management.and.device.discovery","name":"multi-device garmin ecosystem management and device discovery","description":"Enables querying and managing multiple paired Garmin devices through a single MCP interface, providing device discovery, status monitoring, and device-specific capability detection. Implements device registry patterns that cache device metadata and capabilities, allowing AI models to understand which metrics are available per device and route queries appropriately.","intents":["List all my Garmin devices and their current sync status","Determine which of my devices supports stress tracking and body battery metrics","Query data from a specific device when I have multiple watches paired"],"best_for":["Users with multiple Garmin devices (watch, fitness tracker, cycling computer)","Multi-user household scenarios where different family members have different devices","Applications that need to intelligently route queries to the most capable device"],"limitations":["Device discovery only reflects devices currently paired with Garmin Connect account","Device capability metadata may be stale if not recently updated from Garmin servers","No support for managing device pairings or unpairing devices through MCP","Device-specific quirks and firmware differences not abstracted away"],"requires":["Multiple Garmin devices paired to same Garmin Connect account","Garmin Connect API access with multi-device permissions"],"input_types":["device filter parameters","capability queries"],"output_types":["device inventory lists with metadata","capability matrices","device status reports"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adrian-garmin-mcp__cap_3","uri":"capability://planning.reasoning.natural.language.fitness.data.analysis.and.interpretation","name":"natural language fitness data analysis and interpretation","description":"Leverages MCP's integration with Claude and other language models to provide natural language interpretation of Garmin metrics, translating raw numbers into actionable insights. Works by exposing structured fitness data through MCP tools, allowing the AI model's reasoning capabilities to analyze trends, identify patterns, and generate personalized health recommendations based on the retrieved data.","intents":["Analyze my sleep patterns over the past month and tell me what might be affecting my sleep quality","Compare my heart rate variability trends across different workout types","Get personalized recommendations for improving my fitness based on my recent activity data"],"best_for":["Personal health AI assistants that need to provide contextual fitness insights","Wellness applications that want Claude to interpret user biometric data","Developers building AI-powered health coaching experiences"],"limitations":["Analysis quality depends on Claude's training data about fitness and health; not a medical tool","Requires sufficient historical data (typically 2+ weeks) for meaningful trend analysis","Cannot access external health records or medical data to provide comprehensive health context","Recommendations are informational only and should not replace professional medical advice"],"requires":["Claude API access or Claude Desktop with MCP support","Sufficient Garmin historical data (minimum 7-14 days recommended)","MCP server with data retrieval capabilities enabled"],"input_types":["natural language queries about fitness trends","date ranges for analysis","metric focus areas"],"output_types":["natural language insights and analysis","trend summaries","personalized recommendations","comparative analysis reports"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_adrian-garmin-mcp__cap_4","uri":"capability://memory.knowledge.garmin.data.context.injection.for.ai.agent.decision.making","name":"garmin data context injection for ai agent decision-making","description":"Integrates Garmin fitness data as contextual information within MCP's resource system, allowing AI agents to automatically consider user health status when making decisions or recommendations. Implements context injection patterns where relevant Garmin metrics are retrieved and included in the model context window, enabling agents to factor in current activity levels, sleep quality, stress levels, and recovery status into their reasoning.","intents":["Have my AI assistant consider my current stress level and sleep quality when suggesting work breaks","Build an agent that adjusts workout recommendations based on my recovery metrics","Create a productivity assistant that factors in my sleep and activity data when planning my day"],"best_for":["AI agents that need holistic user context including health status","Wellness applications integrating fitness data into broader life management","Personal AI assistants that want to provide health-aware recommendations"],"limitations":["Context injection adds latency to each agent decision (data retrieval + parsing)","Limited context window means only most relevant metrics can be included","Stale data if Garmin device hasn't synced recently","No real-time biometric streaming; only periodic snapshots"],"requires":["MCP server with resource definitions for Garmin data","AI model with sufficient context window to include health metrics","Agent framework that supports MCP resource injection"],"input_types":["agent decision points","context window availability"],"output_types":["enriched agent context","health-aware decision recommendations"],"categories":["memory-knowledge","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible AI client (Claude via Claude Desktop or API with MCP support)","Garmin Connect account with active device","Garmin API credentials (OAuth token or API key)","Network connectivity to Garmin servers","Garmin device with active Garmin Connect sync","Valid Garmin Connect API credentials","MCP server running and accessible to AI client","Multiple Garmin devices paired to same Garmin Connect account","Garmin Connect API access with multi-device permissions","Claude API access or Claude Desktop with MCP support"],"failure_modes":["Requires active Garmin Connect account and valid device pairing","Data freshness depends on device sync frequency with Garmin cloud (typically 15-60 minutes)","No write-back capability to modify device settings or clear data remotely","Limited to data types exposed by Garmin Connect API; proprietary metrics may be unavailable","Data granularity varies by device type; older Garmin devices may not support all metrics","Historical data retention depends on Garmin Connect subscription tier","Requires device to have synced with Garmin cloud within last sync window","No access to raw sensor data; only aggregated metrics from Garmin's processing pipeline","Device discovery only reflects devices currently paired with Garmin Connect account","Device capability metadata may be stale if not recently updated from Garmin servers","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.062Z","last_scraped_at":"2026-05-03T15:19:51.141Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=adrian-garmin-mcp","compare_url":"https://unfragile.ai/compare?artifact=adrian-garmin-mcp"}},"signature":"acysxq2PDlL4U9oHjlNvPtVvYwsbFRi4Uf8Tz5d4ESYt9uDvycUTH0KnCTwG1etZftRn0hFSkeKo5CifNmeVCQ==","signedAt":"2026-06-22T01:40:17.186Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/adrian-garmin-mcp","artifact":"https://unfragile.ai/adrian-garmin-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=adrian-garmin-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}