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Handles API rate limiting and error cases gracefully.","intents":["I want my AI agent to fetch real-time weather data for a location the user has specified or the agent has geocoded","I need to provide weather context to an LLM so it can answer user questions like 'Should I bring an umbrella?' or 'What's the temperature in London?'","I want to build a multi-step workflow where location resolution feeds into weather queries without manual coordinate entry"],"best_for":["Conversational AI agents and chatbots that need to answer weather-related user queries with current data","Autonomous agents that make decisions based on weather conditions (e.g., scheduling, travel planning, activity recommendations)","MCP-based tool ecosystems where weather data is one of many integrated services"],"limitations":["Requires valid API credentials for the underlying weather service; free tiers typically have rate limits (e.g., 60 calls/minute for OpenWeatherMap)","Weather data freshness depends on the backend service's update frequency (typically 10-30 minute intervals)","Forecast accuracy degrades beyond 7-10 days; extended forecasts may be less reliable than short-term predictions","No built-in caching — each coordinate query triggers a new API call, consuming rate limit quota"],"requires":["Node.js 16+ for MCP server runtime","API key for a weather service provider (OpenWeatherMap, WeatherAPI, etc.)","Network access to the weather service endpoint","MCP client capable of invoking tools with coordinate parameters"],"input_types":["number (latitude)","number (longitude)","optional: string (units: metric/imperial)"],"output_types":["structured data (temperature, condition, humidity, wind speed, pressure, optional forecast array)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-monorepoweather__cap_2","uri":"capability://tool.use.integration.mcp.tool.schema.definition","name":"mcp-tool-schema-definition","description":"Defines and exports standardized MCP tool schemas for geocoding and weather queries, enabling any MCP-compatible client to discover, understand, and invoke these tools. Uses JSON Schema to describe input parameters (location strings, coordinates) and output structures (coordinates, weather data), allowing LLMs to reason about tool capabilities and generate correct function calls without hardcoded integration logic.","intents":["I want my LLM client (Claude, custom agent) to automatically discover what weather tools are available and how to use them","I need to ensure that tool invocations are type-safe and validated against a schema before execution","I want to build a composable tool ecosystem where weather tools integrate seamlessly with other MCP services"],"best_for":["Developers building MCP-compatible agents or clients that need to dynamically discover and invoke tools","Teams standardizing on the Model Context Protocol for tool integration across multiple services","LLM applications that require schema-driven function calling to ensure type safety and reduce hallucination"],"limitations":["Schema definitions are static — runtime parameter validation depends on the MCP client implementation","Complex nested schemas may be difficult for some LLMs to parse correctly; overly verbose schemas can reduce model accuracy","No built-in versioning mechanism for schema evolution; breaking changes require client updates"],"requires":["MCP protocol version 1.0+ support in the client","JSON Schema understanding in the LLM or client implementation","Node.js 16+ for the MCP server that exports these schemas"],"input_types":["JSON Schema definitions"],"output_types":["JSON Schema (tool definitions with input/output specifications)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-monorepoweather__cap_3","uri":"capability://tool.use.integration.mcp.server.runtime.integration","name":"mcp-server-runtime-integration","description":"Provides a Node.js-based MCP server runtime that exposes geocoding and weather tools via the Model Context Protocol, handling tool registration, request routing, and response serialization. Implements the MCP server specification, allowing any MCP-compatible client (Claude, custom agents, IDE plugins) to connect and invoke tools over stdio or HTTP transports. Manages lifecycle, error handling, and protocol compliance.","intents":["I want to run a local or remote MCP server that my AI agent can connect to and invoke weather tools","I need to integrate weather and geocoding capabilities into my existing MCP-based tool ecosystem","I want to expose these tools to multiple clients (Claude, custom agents, web apps) without duplicating integration code"],"best_for":["Teams deploying MCP servers as microservices or local development tools","Developers building multi-tool MCP ecosystems where weather is one of many integrated services","Organizations standardizing on MCP for AI tool integration across products"],"limitations":["MCP server must be running and accessible to clients; no built-in high availability or failover","Stdio transport is suitable for local development but not for distributed deployments; HTTP transport requires additional configuration","No built-in authentication or rate limiting at the MCP server level; security depends on network isolation or client-side controls"],"requires":["Node.js 16+ runtime","MCP client library (e.g., @modelcontextprotocol/sdk) for client-side integration","Network connectivity between client and server (stdio for local, HTTP for remote)"],"input_types":["MCP protocol messages (tool calls with parameters)"],"output_types":["MCP protocol messages (tool results with structured data)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-monorepoweather__cap_4","uri":"capability://tool.use.integration.multi.client.tool.exposure","name":"multi-client-tool-exposure","description":"Exposes geocoding and weather tools to multiple MCP-compatible clients (Claude, custom agents, IDE plugins, web applications) through a single MCP server instance. Implements the MCP protocol's client-agnostic design, allowing tools to be invoked by any client that understands the protocol without tool-specific integration code. Handles concurrent requests and maintains isolation between client sessions.","intents":["I want to use the same weather tools in Claude, my custom agent, and my IDE plugin without duplicating code","I need to expose weather capabilities to multiple applications through a single, centralized MCP server","I want to ensure that tool behavior is consistent across all clients that invoke them"],"best_for":["Organizations with multiple AI applications that need shared access to weather and location services","Developers building tool ecosystems where consistency across clients is critical","Teams transitioning from custom API integrations to standardized MCP-based tool exposure"],"limitations":["Client-side caching and optimization are the client's responsibility; the MCP server does not provide built-in result caching","Concurrent request handling depends on the underlying Node.js event loop; high concurrency may require load balancing","No built-in session management or client authentication; security must be implemented at the network or transport layer"],"requires":["MCP server running and accessible to all clients","MCP client libraries in each application (e.g., @modelcontextprotocol/sdk for Node.js, Claude SDK for Claude)","Network connectivity between clients and server"],"input_types":["MCP protocol messages from multiple clients"],"output_types":["MCP protocol messages with tool results"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":24,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 16+ for MCP server runtime","Network access to geocoding service endpoint (typically public, no API key required for Nominatim)","MCP client implementation that can invoke tools via the Model Context Protocol","API key for a weather service provider (OpenWeatherMap, WeatherAPI, etc.)","Network access to the weather service endpoint","MCP client capable of invoking tools with coordinate parameters","MCP protocol version 1.0+ support in the client","JSON Schema understanding in the LLM or client implementation","Node.js 16+ for the MCP server that exports these schemas","Node.js 16+ runtime"],"failure_modes":["Geocoding accuracy depends on the underlying service provider (typically OpenStreetMap Nominatim or similar); may return multiple candidates for ambiguous names","No built-in caching of geocoding results — repeated queries for the same location will re-execute the lookup","Ambiguous locations (e.g., 'Springfield') may require additional context or user disambiguation to select the correct result","Requires valid API credentials for the underlying weather service; free tiers typically have rate limits (e.g., 60 calls/minute for OpenWeatherMap)","Weather data freshness depends on the backend service's update frequency (typically 10-30 minute intervals)","Forecast accuracy degrades beyond 7-10 days; extended forecasts may be less reliable than short-term predictions","No built-in caching — each coordinate query triggers a new API call, consuming rate limit quota","Schema definitions are static — runtime parameter validation depends on the MCP client implementation","Complex nested schemas may be difficult for some LLMs to parse correctly; overly verbose schemas can reduce model accuracy","No built-in versioning mechanism for schema evolution; breaking changes require client updates","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.3,"match_graph":0.25,"freshness":0.6,"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":"2026-05-24T12:16:23.903Z","last_scraped_at":"2026-05-03T14:23:44.005Z","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=npm-mcp-monorepoweather","compare_url":"https://unfragile.ai/compare?artifact=npm-mcp-monorepoweather"}},"signature":"mR3KG/DIvZ5u9lyjmN9XU71BIjNNif5nlXMT7zGEJpc6mxivuUAdkUIeNy0HyAR9r4LGJ7j+28zbnLIAd2VlDg==","signedAt":"2026-06-21T15:56:44.800Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-mcp-monorepoweather","artifact":"https://unfragile.ai/npm-mcp-monorepoweather","verify":"https://unfragile.ai/api/v1/verify?slug=npm-mcp-monorepoweather","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"}}