{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_andyguo-weather-mcp-server","slug":"andyguo-weather-mcp-server","name":"weather-mcp-server","type":"mcp","url":"https://smithery.ai/servers/andyguo/weather-mcp-server","page_url":"https://unfragile.ai/andyguo-weather-mcp-server","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","weather","smithery:andyguo/weather-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_andyguo-weather-mcp-server__cap_0","uri":"capability://tool.use.integration.mcp.compliant.weather.data.exposure.via.standardized.protocol","name":"mcp-compliant weather data exposure via standardized protocol","description":"Implements the Model Context Protocol (MCP) server specification to expose weather data as callable tools/resources that Claude and other MCP-compatible clients can discover and invoke. Uses MCP's JSON-RPC 2.0 message transport layer with resource and tool definition schemas, enabling seamless integration into agentic workflows without custom API client code.","intents":["I want Claude to fetch real-time weather data during conversations without leaving the chat interface","I need to build an AI agent that can check weather conditions as part of a multi-step task","I want to standardize how my AI tools access weather APIs using a protocol-agnostic interface"],"best_for":["AI application developers building Claude-integrated agents","Teams standardizing tool access via MCP across multiple LLM providers","Developers prototyping weather-aware autonomous workflows"],"limitations":["Requires MCP client support — not compatible with REST-only API consumers","Weather data freshness depends on underlying provider's update frequency (typically 15-60 minute intervals)","No built-in caching layer — each tool call hits the upstream weather provider"],"requires":["MCP-compatible client (Claude Desktop, custom MCP host, or compatible LLM framework)","Network connectivity to upstream weather data provider","MCP server runtime environment (Node.js or Python depending on implementation)"],"input_types":["structured tool parameters (location, units, forecast type)","MCP resource URIs for weather data endpoints"],"output_types":["JSON-structured weather data (temperature, conditions, forecasts)","MCP tool result objects with metadata"],"categories":["tool-use-integration","mcp-servers"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_1","uri":"capability://tool.use.integration.location.based.weather.data.retrieval.with.coordinate.city.name.resolution","name":"location-based weather data retrieval with coordinate/city name resolution","description":"Accepts location input (city names, coordinates, or postal codes) and resolves them to weather data by querying an underlying weather provider API. Implements location normalization logic to handle ambiguous inputs (e.g., 'Springfield' → geographic disambiguation) and converts between coordinate systems and human-readable locations.","intents":["I want to ask Claude 'What's the weather in London?' and get current conditions without specifying coordinates","I need to fetch weather for multiple cities in a batch workflow","I want the agent to handle location ambiguity gracefully (e.g., multiple cities with same name)"],"best_for":["Conversational AI applications where users provide natural location names","Multi-location weather aggregation workflows","Applications requiring flexible location input handling"],"limitations":["Ambiguous location names may require additional context or user clarification","Geocoding accuracy depends on upstream provider's location database","No support for non-standard location formats (e.g., landmarks, relative directions)"],"requires":["Underlying weather provider with geocoding/location resolution API","Network access to location resolution service"],"input_types":["text (city name, e.g., 'London')","coordinates (latitude/longitude)","postal codes"],"output_types":["weather data object with resolved location metadata","geographic coordinates (lat/lon)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_2","uri":"capability://tool.use.integration.current.weather.conditions.retrieval.with.unit.conversion","name":"current weather conditions retrieval with unit conversion","description":"Fetches real-time weather observations (temperature, humidity, wind speed, precipitation, conditions) from upstream provider and converts between unit systems (Celsius/Fahrenheit, m/s/mph/knots) based on client preference. Implements unit conversion logic at the response layer to normalize output regardless of provider's native units.","intents":["I want to get current weather in Fahrenheit for a US-based user","I need weather data in metric units for a European application","I want the agent to automatically adapt units based on user locale"],"best_for":["Multi-region applications serving users with different unit preferences","International AI agents that need unit-agnostic weather data","Applications requiring precise meteorological measurements"],"limitations":["Unit conversion adds minimal latency (~5-10ms per request)","Precision may be lost in temperature rounding (e.g., 72.5°F → 22.5°C)","Wind speed conversions require explicit unit specification — no auto-detection from locale"],"requires":["Upstream weather provider API returning raw meteorological data","Client specification of desired output units"],"input_types":["location identifier","unit preference parameter (metric/imperial/knots)"],"output_types":["JSON object with temperature, humidity, wind speed, precipitation in requested units","metadata indicating unit system used"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_3","uri":"capability://tool.use.integration.weather.forecast.retrieval.with.configurable.time.horizons","name":"weather forecast retrieval with configurable time horizons","description":"Retrieves multi-day or hourly weather forecasts from upstream provider with configurable forecast length (e.g., 5-day, 10-day, hourly for next 48 hours). Implements time-based filtering and aggregation to return forecast data at requested granularity without requiring client-side parsing of full forecast datasets.","intents":["I want Claude to tell me the weather forecast for the next 5 days","I need hourly forecast data for the next 48 hours to plan outdoor activities","I want the agent to fetch only relevant forecast periods (e.g., daytime only)"],"best_for":["Trip planning and activity scheduling agents","Weather-dependent workflow automation (e.g., irrigation scheduling)","Conversational weather assistants providing multi-day outlooks"],"limitations":["Forecast accuracy decreases with time horizon (5-day forecasts ~80% accurate, 10-day ~60%)","Hourly forecasts may not be available for all locations from all providers","Forecast data updates on provider schedule (typically 6-12 hour intervals), not real-time"],"requires":["Upstream weather provider supporting forecast endpoints","Client specification of forecast length and granularity"],"input_types":["location identifier","forecast type (daily/hourly)","forecast length (days or hours)"],"output_types":["array of forecast objects with timestamp, temperature, conditions, precipitation probability","metadata indicating forecast confidence/accuracy"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_4","uri":"capability://tool.use.integration.weather.alerts.and.severe.weather.warnings.retrieval","name":"weather alerts and severe weather warnings retrieval","description":"Fetches active weather alerts, warnings, and advisories (tornado warnings, flood watches, heat advisories, etc.) for specified locations from upstream provider. Implements alert severity classification and filtering to surface critical warnings to LLM clients for inclusion in agent decision-making or user notifications.","intents":["I want the agent to check for active weather warnings before recommending outdoor activities","I need to alert users about severe weather in their region","I want to include weather alerts in trip planning logic to avoid dangerous conditions"],"best_for":["Safety-critical applications (travel planning, outdoor activity scheduling)","Emergency response and disaster management agents","Weather-aware notification systems"],"limitations":["Alert availability varies by region — some areas have comprehensive coverage, others minimal","Alert latency depends on meteorological authority update frequency (typically 15-30 minutes)","No historical alert data — only current/active alerts available"],"requires":["Upstream weather provider with alert/warning API","Geographic coverage in region of interest"],"input_types":["location identifier","optional alert severity filter (critical/moderate/minor)"],"output_types":["array of alert objects with type, severity, effective time, expiration, description","empty array if no active alerts"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_5","uri":"capability://tool.use.integration.air.quality.and.pollution.data.retrieval","name":"air quality and pollution data retrieval","description":"Fetches air quality index (AQI), pollutant concentrations (PM2.5, PM10, O3, NO2, SO2, CO), and health recommendations from upstream provider. Implements AQI calculation and health impact classification to provide actionable air quality information for health-conscious applications and agents.","intents":["I want the agent to recommend indoor activities when air quality is poor","I need to display AQI and pollutant levels for health-conscious users","I want to include air quality in outdoor activity planning logic"],"best_for":["Health and wellness applications integrating environmental factors","Activity planning agents considering air quality impacts","Environmental monitoring and awareness applications"],"limitations":["AQI calculation varies by region (US EPA vs. EU vs. China standards differ)","Air quality data may have 1-3 hour latency from measurement to availability","Coverage limited to urban areas with monitoring stations — rural areas often lack data"],"requires":["Upstream weather provider with air quality API","Air quality monitoring station coverage in region of interest"],"input_types":["location identifier","optional pollutant filter (PM2.5, O3, etc.)"],"output_types":["air quality object with AQI value, pollutant concentrations, health recommendations","metadata indicating data freshness and measurement source"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_6","uri":"capability://tool.use.integration.uv.index.and.solar.radiation.data.retrieval","name":"uv index and solar radiation data retrieval","description":"Fetches UV index, solar radiation intensity, and sun exposure recommendations from upstream provider. Implements UV risk classification (low/moderate/high/very high/extreme) and provides skin protection recommendations based on UV index and skin type considerations.","intents":["I want the agent to recommend sunscreen and protective measures when UV index is high","I need to display UV index and sun exposure risk for outdoor activity planning","I want to include solar radiation data in energy generation forecasting"],"best_for":["Health and wellness applications with sun exposure awareness","Outdoor activity planning agents considering UV risk","Solar energy forecasting and renewable energy applications"],"limitations":["UV index varies significantly with altitude, cloud cover, and time of day","Recommendations are general health guidance, not medical advice","Solar radiation data may not be available from all weather providers"],"requires":["Upstream weather provider with UV index and solar radiation API"],"input_types":["location identifier","optional skin type parameter for personalized recommendations"],"output_types":["UV index object with risk level, solar radiation intensity, protection recommendations","metadata indicating measurement time and forecast validity"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_andyguo-weather-mcp-server__cap_7","uri":"capability://tool.use.integration.historical.weather.data.retrieval.and.analysis","name":"historical weather data retrieval and analysis","description":"Fetches historical weather observations (temperature, precipitation, wind) for specified date ranges and locations from upstream provider. Implements time-series aggregation and statistical analysis (averages, extremes, trends) to support climate analysis and historical comparison use cases without requiring client-side data processing.","intents":["I want to compare current weather to historical averages for the same date","I need to analyze weather trends over past months for climate research","I want the agent to provide context about whether current conditions are unusual"],"best_for":["Climate analysis and research applications","Historical weather comparison and anomaly detection","Long-term trend analysis for agriculture and environmental planning"],"limitations":["Historical data availability varies by location and time period (typically 10-50 years)","Data quality may be inconsistent for older records or remote locations","Statistical analysis requires sufficient data points — sparse historical records limit reliability"],"requires":["Upstream weather provider with historical data API","Sufficient historical coverage for requested date range and location"],"input_types":["location identifier","date range (start and end dates)","optional analysis type (averages, extremes, trends)"],"output_types":["array of historical weather objects with date, temperature, precipitation, wind","statistical summary with averages, min/max, trends"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":26,"verified":false,"data_access_risk":"high","permissions":["MCP-compatible client (Claude Desktop, custom MCP host, or compatible LLM framework)","Network connectivity to upstream weather data provider","MCP server runtime environment (Node.js or Python depending on implementation)","Underlying weather provider with geocoding/location resolution API","Network access to location resolution service","Upstream weather provider API returning raw meteorological data","Client specification of desired output units","Upstream weather provider supporting forecast endpoints","Client specification of forecast length and granularity","Upstream weather provider with alert/warning API"],"failure_modes":["Requires MCP client support — not compatible with REST-only API consumers","Weather data freshness depends on underlying provider's update frequency (typically 15-60 minute intervals)","No built-in caching layer — each tool call hits the upstream weather provider","Ambiguous location names may require additional context or user clarification","Geocoding accuracy depends on upstream provider's location database","No support for non-standard location formats (e.g., landmarks, relative directions)","Unit conversion adds minimal latency (~5-10ms per request)","Precision may be lost in temperature rounding (e.g., 72.5°F → 22.5°C)","Wind speed conversions require explicit unit specification — no auto-detection from locale","Forecast accuracy decreases with time horizon (5-day forecasts ~80% accurate, 10-day ~60%)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.42,"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":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:15.092Z","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=andyguo-weather-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=andyguo-weather-mcp-server"}},"signature":"osqDcCa804CAB0cexO3Wb2qmIApQ1nu4YrdP33NAZ4hHxduZOJRfuO7pSvekWuegZR1FvunoQfy9Y9bWHjoeBA==","signedAt":"2026-06-20T17:31:37.117Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/andyguo-weather-mcp-server","artifact":"https://unfragile.ai/andyguo-weather-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=andyguo-weather-mcp-server","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"}}