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.
Key Features
01Built with Typescript and Python MCP SDKs
020 GitHub stars
03Reference implementations for various use cases
04Offers secure and controlled access to tools and data for LLMs
05Demonstrates the versatility of the Model Context Protocol (MCP)
06Includes examples for AWS Knowledge Base Retrieval, Brave Search, EverArt, and more
Use Cases
01Providing LLMs with the ability to perform web searches and scrape content
02Enabling LLMs to securely access and interact with file systems
03Allowing LLMs to retrieve information from knowledge bases