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Provides reference implementations for Model Context Protocol (MCP) servers, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.

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This repository is a collection of reference implementations for the Model Context Protocol (MCP), showcasing its versatility and extensibility. These servers demonstrate how MCP can provide Large Language Models (LLMs) with secure, controlled access to various tools and data sources. Each server is implemented using either the Typescript or Python MCP SDK, offering practical examples for developers.

Características Principales

  • Built with Typescript and Python MCP SDKs
  • 0 GitHub stars
  • Reference implementations for various use cases
  • Offers secure and controlled access to tools and data for LLMs
  • Demonstrates the versatility of the Model Context Protocol (MCP)
  • Includes examples for AWS Knowledge Base Retrieval, Brave Search, EverArt, and more

Casos de Uso

  • Providing LLMs with the ability to perform web searches and scrape content
  • Enabling LLMs to securely access and interact with file systems
  • Allowing LLMs to retrieve information from knowledge bases
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Servers: MCP Reference Implementations for LLMs