Model Context Protocol Servers
by gdlf13
This repository provides reference implementations for the Model Context Protocol (MCP), showcasing its versatility and extensibility. These servers demonstrate how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
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What is Model Context Protocol Servers?
This repository is a collection of reference implementations for the Model Context Protocol (MCP). MCP enables Large Language Models (LLMs) to securely access tools and data sources, expanding their capabilities and use cases.
How to use Model Context Protocol Servers?
The repository contains various server implementations in TypeScript and Python. Each server provides specific functionalities, such as accessing databases, filesystems, web APIs, or other services. To use a server, you typically need to install the required dependencies (e.g., using npx for TypeScript or uvx/pip for Python) and configure it within an MCP client, like Claude Desktop, by specifying the command and arguments to start the server.
Key features of Model Context Protocol Servers
Reference implementations of MCP servers
Demonstrates MCP versatility and extensibility
Provides secure and controlled access to tools and data for LLMs
Implemented using TypeScript and Python MCP SDKs
Includes a variety of servers for different use cases (e.g., database access, file operations, web scraping)
Showcases community-built servers and additional resources
Use cases of Model Context Protocol Servers
Giving LLMs access to databases for data analysis and querying
Enabling LLMs to perform file operations securely
Allowing LLMs to interact with web APIs for information retrieval and task automation
Creating persistent memory systems for LLMs using knowledge graphs
Automating browser interactions and web scraping with LLMs
Integrating LLMs with project management tools and platforms
FAQ from Model Context Protocol Servers
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that allows Large Language Models (LLMs) to securely and controlled access tools and data sources.
What are reference implementations?
What are reference implementations?
Reference implementations are examples of how to implement the MCP protocol in different programming languages and for different use cases.
How do I use the servers in this repository?
How do I use the servers in this repository?
You can use the servers directly with npx for TypeScript-based servers, or uvx or pip for Python-based servers. You'll also need to configure an MCP client to connect to the server.
What is an MCP client?
What is an MCP client?
An MCP client is an application that can connect to and use MCP servers. Examples include Claude Desktop.
How can I contribute to this repository?
How can I contribute to this repository?
See the CONTRIBUTING.md file for information about contributing new servers or improvements.