{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-weather","slug":"weather","name":"Weather","type":"mcp","url":"https://github.com/TimLukaHorstmann/mcp-weather","page_url":"https://unfragile.ai/weather","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-weather__cap_0","uri":"capability://tool.use.integration.real.time.weather.forecast.retrieval.via.accuweather.api","name":"real-time weather forecast retrieval via accuweather api","description":"Fetches current weather conditions and multi-day forecasts from AccuWeather's REST API by accepting location queries (city name, coordinates, or location key) and returning structured JSON with temperature, precipitation, wind speed, humidity, and UV index. Implements MCP protocol bindings to expose AccuWeather endpoints as callable tools within Claude and other MCP-compatible clients, handling API authentication via AccuWeather API keys and managing rate limits on the free tier (50 calls/day).","intents":["Get current weather conditions for a specific city to inform travel or outdoor planning decisions","Retrieve multi-day weather forecasts programmatically within an AI agent workflow","Query weather data by geographic coordinates for location-aware applications","Integrate real-time weather data into chatbots or autonomous agents without custom API integration"],"best_for":["AI agents and Claude instances needing weather context for decision-making","Developers building weather-aware automation workflows without direct API integration","Teams prototyping weather-dependent applications (travel planning, event scheduling, agriculture)"],"limitations":["Free tier limited to 50 API calls per day — insufficient for high-frequency polling or production-scale deployments","AccuWeather API requires paid subscription for historical weather data and advanced features like severe weather alerts","No built-in caching layer — each MCP tool call directly hits AccuWeather, consuming quota immediately","Forecast accuracy depends entirely on AccuWeather's data quality; no local weather station integration or ensemble forecasting"],"requires":["AccuWeather API key (free tier registration at developer.accuweather.com)","MCP-compatible client (Claude desktop, Cline, or other MCP host)","Network connectivity to AccuWeather API endpoints","Node.js 16+ (inferred from MCP server implementation)"],"input_types":["text (city name, e.g., 'London', 'New York')","structured data (latitude/longitude coordinates as floats)","location key (AccuWeather's internal location identifier)"],"output_types":["JSON (structured weather object with temperature, conditions, wind, humidity, UV index)","text (human-readable weather summary for display in chat)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weather__cap_1","uri":"capability://tool.use.integration.location.geocoding.and.resolution.via.accuweather.location.search","name":"location geocoding and resolution via accuweather location search","description":"Resolves user-provided location queries (city names, partial addresses, coordinates) into AccuWeather location keys and geographic metadata (latitude, longitude, country, administrative region) by querying AccuWeather's location search endpoint. Handles ambiguous queries (e.g., 'Springfield' matching multiple states) by returning ranked results and allowing the agent or user to select the intended location before fetching weather data.","intents":["Disambiguate location names when a user provides a city name that exists in multiple countries or regions","Convert human-readable addresses into AccuWeather location keys for subsequent weather queries","Retrieve geographic metadata (coordinates, region) for a location to enable map-based or spatial analysis workflows","Validate location input before making weather API calls to avoid wasted quota on invalid locations"],"best_for":["Multi-location weather agents that need to handle user input robustly","Applications requiring geographic disambiguation before data retrieval","Workflows where location metadata (coordinates, region) is needed alongside weather"],"limitations":["Ambiguous queries return multiple results; agent must implement selection logic or present choices to user","AccuWeather location search is less comprehensive than Google Geocoding API for non-English place names or informal addresses","No reverse geocoding (coordinates → place name) — only forward geocoding (place name → coordinates)"],"requires":["AccuWeather API key with location search endpoint enabled","MCP-compatible client to invoke the location search tool"],"input_types":["text (city name, e.g., 'Paris', 'San Francisco')","text (partial address, e.g., 'New York, NY')","structured data (latitude/longitude as floats for nearby location search)"],"output_types":["JSON array (list of matching locations with keys, coordinates, and region metadata)","text (human-readable location summary for disambiguation UI)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weather__cap_2","uri":"capability://tool.use.integration.mcp.protocol.server.implementation.for.weather.tools","name":"mcp protocol server implementation for weather tools","description":"Implements a Model Context Protocol (MCP) server that exposes weather and location tools as callable functions within Claude and other MCP-compatible clients. The server handles MCP message serialization/deserialization, tool schema definition (input parameters, return types), error handling, and bidirectional communication with the MCP host. Manages tool registration, request routing, and response formatting according to MCP specification.","intents":["Enable Claude to call weather tools natively without external HTTP client setup","Integrate weather data into multi-step agent workflows where weather context influences decisions","Provide a standardized interface for weather tools across different MCP-compatible clients","Simplify deployment of weather capabilities by packaging them as a single MCP server process"],"best_for":["Claude desktop users and developers building Claude agents","Teams standardizing on MCP for tool integration across multiple AI clients","Developers who want to expose weather APIs without writing custom Claude plugin code"],"limitations":["MCP server must be running as a separate process — adds operational overhead and potential latency (network round-trip per tool call)","MCP protocol is still evolving; breaking changes in future versions may require server updates","No built-in authentication beyond API key management — relies on MCP host to enforce access control"],"requires":["Node.js 16+ runtime","MCP SDK (likely @modelcontextprotocol/sdk or similar)","AccuWeather API key","MCP-compatible client (Claude desktop, Cline, or custom MCP host)"],"input_types":["MCP tool call requests (JSON with tool name and parameters)"],"output_types":["MCP tool response (JSON with result or error)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weather__cap_3","uri":"capability://automation.workflow.weather.data.caching.and.quota.management","name":"weather data caching and quota management","description":"Tracks AccuWeather API call usage against the free tier quota (50 calls/day) and optionally caches recent weather queries to avoid redundant API calls. Implements quota monitoring to alert when approaching limits and may implement simple in-memory or file-based caching with configurable TTL (time-to-live) to reduce API consumption for repeated queries on the same location.","intents":["Monitor API quota consumption to prevent hitting rate limits during agent execution","Reduce API calls for repeated weather queries on the same location within a time window","Implement graceful degradation when quota is exhausted (return cached data or error message)","Provide visibility into API usage for cost and quota planning"],"best_for":["Developers running weather agents with unpredictable query patterns","Applications where stale weather data (cached for 30-60 minutes) is acceptable","Teams on free tier needing to maximize quota efficiency"],"limitations":["Caching is likely in-memory only — lost on server restart; no persistent cache across deployments","Cache TTL is fixed or globally configured — no per-location or per-query-type granularity","No distributed caching — if multiple MCP server instances run, each maintains separate cache, leading to quota waste","Quota tracking is approximate; actual AccuWeather usage may differ due to failed requests or API changes"],"requires":["MCP server running with caching enabled (configuration flag or environment variable)","AccuWeather API key to track actual quota usage"],"input_types":["location query (text or coordinates)","cache configuration (TTL in seconds, max cache size)"],"output_types":["cached weather data (JSON) or fresh API response","quota status (calls remaining, reset time)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-weather__cap_4","uri":"capability://automation.workflow.error.handling.and.api.response.normalization","name":"error handling and api response normalization","description":"Handles AccuWeather API errors (invalid location, quota exceeded, network failures) and normalizes responses into consistent JSON structures for MCP tool returns. Implements retry logic for transient failures (network timeouts), maps AccuWeather error codes to human-readable messages, and ensures all tool responses conform to MCP schema regardless of upstream API behavior.","intents":["Provide clear error messages to agents when weather queries fail (e.g., 'Location not found' vs 'API quota exceeded')","Automatically retry transient failures without agent intervention","Ensure consistent response format across all weather tools for reliable agent parsing","Log and monitor API failures for debugging and operational visibility"],"best_for":["Production agents that need robust error handling and recovery","Teams deploying weather tools to non-technical users who need clear error messages","Workflows where API failures should not crash the entire agent"],"limitations":["Retry logic may add latency (exponential backoff) — not suitable for real-time, low-latency applications","Error messages are limited to AccuWeather's API documentation — custom error context may be missing","No circuit breaker pattern — if AccuWeather API is down, retries will continue consuming quota until timeout"],"requires":["MCP server with error handling middleware","AccuWeather API key to test error scenarios"],"input_types":["AccuWeather API response (success or error)"],"output_types":["normalized JSON response (weather data or error object with code and message)","MCP tool response (success or error)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"high","permissions":["AccuWeather API key (free tier registration at developer.accuweather.com)","MCP-compatible client (Claude desktop, Cline, or other MCP host)","Network connectivity to AccuWeather API endpoints","Node.js 16+ (inferred from MCP server implementation)","AccuWeather API key with location search endpoint enabled","MCP-compatible client to invoke the location search tool","Node.js 16+ runtime","MCP SDK (likely @modelcontextprotocol/sdk or similar)","AccuWeather API key","MCP-compatible client (Claude desktop, Cline, or custom MCP host)"],"failure_modes":["Free tier limited to 50 API calls per day — insufficient for high-frequency polling or production-scale deployments","AccuWeather API requires paid subscription for historical weather data and advanced features like severe weather alerts","No built-in caching layer — each MCP tool call directly hits AccuWeather, consuming quota immediately","Forecast accuracy depends entirely on AccuWeather's data quality; no local weather station integration or ensemble forecasting","Ambiguous queries return multiple results; agent must implement selection logic or present choices to user","AccuWeather location search is less comprehensive than Google Geocoding API for non-English place names or informal addresses","No reverse geocoding (coordinates → place name) — only forward geocoding (place name → coordinates)","MCP server must be running as a separate process — adds operational overhead and potential latency (network round-trip per tool call)","MCP protocol is still evolving; breaking changes in future versions may require server updates","No built-in authentication beyond API key management — relies on MCP host to enforce access control","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:04.689Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=weather","compare_url":"https://unfragile.ai/compare?artifact=weather"}},"signature":"jdrgbM58ppeAxNlfEYOeH20TOh1QOun0AIkLIqca/882lsAeJ4Png5Ihmzq30bzHswT5SfBh2uP7QW1O7OJ3AA==","signedAt":"2026-06-23T07:08:57.328Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/weather","artifact":"https://unfragile.ai/weather","verify":"https://unfragile.ai/api/v1/verify?slug=weather","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"}}