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securityA
license-
qualityA server that integrates the MCP library with OpenAI's API, allowing users to interact with various tools, such as the weather tool, through natural language queries.
Last updated -
MIT License
Used to accelerate code generation and improve developer productivity within the MCP server environment.
Used as the implementation language for the MCP servers to connect external data sources.
Provides the runtime environment for implementing the MCP servers.
Implements schema validation for structured data processing within the MCP server.
MCP Server Integrations with External APIs
This project demonstrates how to build and run custom MCP (Model Context Protocol) servers that connect external data sources—such as public APIs—directly into your developer environment using URI-like resource requests.
🔧 What This Project Does
- Implements MCP servers using JavaScript and the
@modelcontextprotocol/sdkpackage. - Connects to public APIs (e.g. Open-Meteo, AgroMonitoring) to fetch live data.
- Defines
resource()andtool()interfaces accessible via MCP URIs. - Enables structured responses directly inside tools that support MCP (like VS Code).
- Uses GitHub Copilot to accelerate code generation and improve developer productivity.
🧪 Examples
greeting://maria→ returns a dynamic greetingagro://polygons→ fetches polygon data from the AgroMonitoring APIweather://{city}(planned) → real-time weather info via Open-Meteo
🚀 Tech Stack
- JavaScript (Node.js)
- MCP SDK
- Zod for schema validation
- GitHub Copilot (for assisted code authoring)
- APIs: Open-Meteo, AgroMonitoring, etc.
📦 How to Run
- Install dependencies:
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Connects external APIs like Open-Meteo and AgroMonitoring to your development environment through URI-like requests, allowing access to live data directly in MCP-compatible tools.
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