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Geocode cities and fetch live weather for LangGraph agent responses.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP LangChain Weather Agent" yet — see the docs or source repo.
Check the current weather in Tokyo and summarize the temperature and conditions in concise English.
Returns current weather data for Tokyo with a brief summary of temperature and conditions.
You can call the weather MCP tool. Please answer: What will the weather be like in Berlin tomorrow?
The agent uses geocoding and weather data to answer the Berlin weather question.
Convert "San Francisco" into coordinates, then fetch the corresponding live weather data.
Outputs the city's coordinates and the live weather result fetched for that location.
Developers building LangGraph-based agents can connect this MCP tool so the agent can automatically look up city weather and answer related questions.
When users provide only a city name, this tool can geocode it first and then fetch live weather from Open-Meteo, avoiding manual coordinate lookup.
It is a weather MCP server that converts city names into geographic coordinates and fetches live weather data from Open-Meteo for a LangGraph agent to answer weather questions.
Based on the provided description, it uses geocoding and fetches live weather from Open-Meteo. For installation and runtime prerequisites, see the source repository.
It is packaged as an MCP server and explicitly designed to support LangGraph agents answering weather queries, rather than only returning weather data by itself.
Provides current weather and forecasts for AI-powered, context-aware applications.
Get weather forecasts via MCP while learning AI tool integration patterns.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Query current weather and forecasts in natural language for app integrations.
Lets MCP clients fetch current weather and forecasts for any location.
Query live city weather with get_weather, no API key needed.