Awesome MCP Servers 7qq

Awesome MCP Servers is a carefully curated list that includes various implementations of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list covers production-ready and experimental MCP servers, extending AI capabilities through file access, database connection, API integration, and other context services.

Developer tools Artificial intelligence chatbots #AI protocol #Server list #Resource interaction #Open-source project

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update time : 2025-04-23

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What is MCP?

Model Context Protocol (MCP) is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. These servers extend AI capabilities by providing context services such as file access, database connection, and API integration.

How to use MCP servers?

Through the MCP protocol, AI assistants can securely access various resource services. Users only need to configure the MCP servers, and the AI can automatically discover and use these services.

Use cases

Suitable for scenarios where AI assistants need to access external data or perform specific tasks, such as data analysis, automated office work, and intelligent customer service.

Main features

Browser automation

Provide web content access and automation capabilities, supporting search, scraping, and processing of web content

Database access

Securely access various databases, including SQL and NoSQL databases, supporting queries and data analysis

File system access

Provide read and write capabilities for local and cloud storage files, supporting multiple file formats

AI memory system

Persistent memory storage, using a knowledge graph structure to maintain structured information across sessions

Advantages

Standardized interface: Access various resources in a unified way

Security control: Fine-grained permission management

High scalability: Support implementation in multiple programming languages

Community support: An active open-source community

Limitations

Requires technical knowledge for initial configuration

Some services require API keys

Performance depends on the specific implementation

How to use

Select the required MCP server

Find the server implementation that meets your needs from the classification list

Install and configure the server

Install and configure the server according to the project documentation

Connect to the AI client

Configure the AI client (such as Claude) to connect to the MCP server

Usage examples

Data analysis

The AI assistant connects to the database server to query and analyze sales data

Automated office work

The AI assistant organizes documents through the file system server

Frequently asked questions

Are MCP servers secure?

How to choose the right MCP server?

Do MCP servers require payment?

Related resources

MCP official website

Protocol specifications and official documentation

GitHub repository

Project source code and issue tracking

Quick start video

MCP server setup tutorial

🚀 Want to Learn About the MCP Protocol? This GitHub Repository Has You Covered!

Have you heard of the MCP protocol (Model Context Protocol)? It's a new protocol that allows large language models to interact with external tools. To help developers quickly get started, there's a GitHub repository named awesome-mcp-servers that collects various servers, frameworks, and tools based on the MCP protocol.

🚀 Quick Start

This repository is a great resource for anyone interested in the MCP protocol. It provides a wide range of materials to help you understand and use the protocol effectively.

✨ Features

🔍 Aggregates Numerous MCP Servers

This repository organizes a large number of projects related to the MCP protocol. It includes everything from simple example code to powerful toolkits. For example:

mcp-rs-template: Provides a template for the MCP protocol in Rust.
metoro-io/mcp-golang: A Golang framework focused on type safety.
spring-ai-mcp: A great helper for Java developers.

💻 Covers Multiple Programming Languages

The projects in the repository support multiple programming languages, including:

Python: Such as langchain-mcp and sparfenyuk/mcp-proxy.
JavaScript/TypeScript: Like mcp-framework and mcp-proxy.
Golang: mark3labs/mcphost and metoro-io/mcp-golang.
Rust: mcp-rs-template.

🛠️ Provides Practical Tools

In addition to servers, the repository also contains many practical tools:

MCP Connector: Allows cloud AI services to access local MCP servers.
Proxy Tools: For example, SecretiveShell/MCP-Bridge integrates MCP into existing OpenAI clients.

📱 Client Resources

Although it mainly focuses on servers, the repository also includes some client information. If you want to learn more, please refer to punkpeye/awesome-mcp-clients.

💡 Development Tips and Tricks

Official Tip: Want to make an LLM understand the MCP protocol? Add the llms-full.txt file to your project so that the model can learn how to use MCP.
Reddit Community Discussion: On r/ClaudeAI, developers have shared how to guide Claude to use the MCP protocol.

⭐ Star Growth Trend

You can view the star growth of this repository through Star History. This reflects the increasing attention of the open-source community to the MCP protocol.

In conclusion, this GitHub repository is an excellent resource for learning and using the MCP protocol. Whether you want to develop servers, tools, or clients, you can find what you need here.