@mcp-monorepo/weather
MCP ServerFreeWeather MCP tools (geocoding, weather-by-coords) for ModelContextProtocol.
Capabilities5 decomposed
geocoding-address-to-coordinates
Medium confidenceConverts human-readable addresses or location names into geographic coordinates (latitude/longitude) using a geocoding service backend. Implements MCP tool protocol with standardized input/output schemas, allowing LLM agents to resolve arbitrary place names into machine-readable coordinates for downstream weather queries. Handles ambiguous location names by returning ranked results or selecting the most probable match.
Implements geocoding as a standardized MCP tool that integrates seamlessly into LLM agent workflows without requiring direct API key management; uses the Model Context Protocol for schema-based function calling, enabling any MCP-compatible client (Claude, custom agents) to invoke geocoding without custom integration code.
Simpler than direct Google Maps or Mapbox API integration because it abstracts away authentication and HTTP orchestration behind the MCP protocol, reducing boilerplate in agent code.
weather-query-by-coordinates
Medium confidenceFetches current weather conditions and forecasts for a given latitude/longitude pair using a weather API backend (typically OpenWeatherMap, WeatherAPI, or similar). Implements MCP tool protocol to accept coordinate inputs and return structured weather data including temperature, conditions, humidity, wind speed, and optional multi-day forecasts. Handles API rate limiting and error cases gracefully.
Exposes weather data as a standardized MCP tool, allowing LLM agents to invoke weather queries directly without managing HTTP clients or API authentication; the MCP protocol abstracts the underlying weather service, enabling provider swaps without agent code changes.
More agent-friendly than raw weather API SDKs because it provides schema-based tool definitions that LLMs can understand and invoke autonomously, rather than requiring developers to write custom function-calling wrappers.
mcp-tool-schema-definition
Medium confidenceDefines 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.
Leverages the Model Context Protocol's schema-based tool definition system, which allows LLMs to introspect available tools and generate correct function calls without custom prompt engineering or hardcoded integration logic; schemas are machine-readable and enable automatic validation.
More robust than ad-hoc function-calling approaches because it enforces schema contracts between client and server, reducing the risk of malformed requests and enabling better error handling.
mcp-server-runtime-integration
Medium confidenceProvides 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.
Implements a complete MCP server runtime that handles protocol compliance, tool registration, and request/response serialization, abstracting away the complexity of MCP protocol implementation from tool developers; supports multiple transport mechanisms (stdio, HTTP) for flexibility.
Simpler than building custom API servers because it leverages the standardized MCP protocol, reducing boilerplate and enabling seamless integration with any MCP-compatible client without custom adapters.
multi-client-tool-exposure
Medium confidenceExposes 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.
Leverages the MCP protocol's client-agnostic design to expose tools to multiple heterogeneous clients without custom integration code; the protocol abstraction enables tool reuse across Claude, custom agents, and other MCP-compatible applications.
More maintainable than building separate API integrations for each client because the MCP protocol provides a single, standardized interface that all clients understand.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @mcp-monorepo/weather, ranked by overlap. Discovered automatically through the match graph.
@modelcontextprotocol/server-map
MCP App Server example with CesiumJS 3D globe and geocoding
@amap/amap-maps-mcp-server
MCP server for using the AMap Maps API
Mapbox
** - Unlock geospatial intelligence through Mapbox APIs like geocoding, POI search, directions, isochrones and more.
Google Maps
** - Location services, directions, and place details.
IP2Location.io
** - IP2Location.io API integration to retrieve the geolocation information for an IP address.
Google Maps MCP Server
Access Google Maps geocoding, directions, and place data via MCP.
Best For
- ✓LLM agents and chatbots that need to ground conversational location references into geographic coordinates
- ✓Multi-step AI workflows where location resolution is a prerequisite for weather, mapping, or location-based services
- ✓Teams building MCP-compatible tools that need standardized geocoding without external API dependencies
- ✓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
- ✓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
Known Limitations
- ⚠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
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Package Details
About
Weather MCP tools (geocoding, weather-by-coords) for ModelContextProtocol.
Categories
Alternatives to @mcp-monorepo/weather
Are you the builder of @mcp-monorepo/weather?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →