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by AlessioRomanoRobert • Uncategorized
Reference implementation of the Model Context Protocol (MCP) with servers, clients, and LLM integrations in TypeScript, Python, and Go.
Securely connect to external tools and data sources via a standardized protocol.
Dynamically decide which tools to invoke using LLMs.
A reference implementation to explore and test MCP capabilities.
This repository provides practical examples of MCP servers and clients that enable AI models to securely connect to external tools, data sources, and services via a standardized protocol. It includes multiple server implementations exposing various tools and resources, as well as clients that either hardcode tool calls or use LLMs to dynamically decide tool usage. MCP solves the problem of custom integrations by defining a universal interface for interoperability between any MCP client and server.