Collection
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Bridges Large Language Models to external tools and APIs through custom Model Context Protocol (MCP) server implementations.
About
This repository provides practical examples of custom-built Model Context Protocol (MCP) servers, demonstrating how LLMs can securely connect to and utilize diverse data sources, external APIs, and other tools. The collection showcases integrations with services like weather data (Open-Meteo API) and Pokémon information (PokéAPI), providing clear examples of tool definition, input/output schemas (using Zod), and communication handling via the MCP SDK. These servers empower LLMs with the necessary context and capabilities to answer specific queries or perform actions by interacting with real-world services.
Key Features
- Integrates LLMs with diverse services like weather and Pokémon APIs.
- Includes example configurations for use with AI clients like VS Code Copilot.
- Uses StdioServerTransport for communication.
- Provides modular and understandable TypeScript code.
- 0 GitHub stars
- Implements core MCP concepts including tool definition and schema validation using Zod.
Use Cases
- Allowing LLMs to fetch detailed information about Pokémon.
- Building custom integrations between LLMs and external APIs.
- Enabling LLMs to access real-time weather data.
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