MCP-Server
@fmpoliveira
About MCP-Server
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-meteostat-server": {
"command": "node",
"args": [
"build/server.js"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is MCP-Server?
MCP-Server is a server that uses the Meteostat API to retrieve meteorological data worldwide. It is intended for developers who need programmatic access to weather information.
How to use MCP-Server?
Install dependencies with npm install, then start the server with npm run start or build the project and run node build/server.js. Send POST requests to endpoints such as /get_nearby_stations with latitude and longitude in the request body.
Key features of MCP-Server
- Fetches meteorological data from the Meteostat API globally.
- Includes an Express.js server for HTTP endpoints.
- Provides an endpoint to retrieve nearby weather stations.
- Simple installation via npm.
- Built with Node.js.
Use cases of MCP-Server
- Retrieve weather data for a specific geographic location.
- Get a list of nearby meteorological stations for a given latitude/longitude.
- Integrate real-time weather information into applications.
FAQ from MCP-Server
What data does MCP-Server provide?
It provides meteorological data from the Meteostat API for locations worldwide.
How do I start the server?
Run npm run start or build the project with npm run build and then execute node build/server.js.
What are the prerequisites?
Node.js and npm must be installed.
What is the example endpoint?
The server exposes a /get_nearby_stations endpoint that accepts a POST request with lat and lon in the JSON body.
More Other MCP servers
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Core Philosophy: Connect, Unify, Respond
mindsdbDelegate anything. It comes back done.

Sequential Thinking
modelcontextprotocolModel Context Protocol Servers
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Comments