Awesome Model Context Protocol (mcp) Servers

Awesome Model Context Protocol (mcp) Servers

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

Developer tools Artificial intelligence chatbots #AI Protocol #Server List #Development Tools #Resource Integration

rating : 2.5 points

downloads : 16

update time : 2025-04-23

What is the Model Context Protocol (MCP)?

MCP is an open protocol that allows AI models to securely interact with local and remote resources through standardized servers. It enables AI to read and write files, access databases, call APIs, and automate local tools (such as browsers or terminals).

How to use an MCP server?

MCP servers can be accessed through various clients, such as AI assistants like Claude and Cursor. Users only need to configure the server address and permissions, and AI models can use these tools via natural language instructions.

Use cases

MCP servers are suitable for various scenarios where AI assistants need to interact with external systems, including code development, data analysis, automated tasks, knowledge management, etc.

Main Features

Multi - resource accessSupports accessing multiple resource types such as file systems, databases, and APIs

Secure access controlProvides fine - grained permission control to ensure data security

Cross - platform supportSupports multiple operating systems such as Windows, macOS, and Linux

Multi - language developmentSupports developing servers in multiple programming languages such as Python, TypeScript, Go, and Rust

Advantages and Limitations

Advantages

Expand the capabilities of AI models to enable them to complete more complex tasks

Standardized interface design for easy integration and use

Rich ecosystem with a large number of ready - made server implementations to choose from

Supports local and cloud deployment to flexibly adapt to different scenarios

Limitations

Requires certain technical knowledge for configuration and management

Some advanced features may require custom development

Performance is limited by network conditions and server resources

How to Use

Select a suitable MCP server

Select a suitable server implementation from the awesome - mcp - servers list according to your needs

Install and configure the server

Install and configure the server according to the documentation of the selected server

Start the server

Run the server program and ensure it listens on the correct port

Configure in the AI client

Add the server address and authentication information in supported AI clients (such as Claude)

Usage Examples

Data AnalysisUse an MCP server to connect to a database and let the AI assistant analyze sales data and generate reports

File ManagementUse a file system MCP server to let the AI assistant organize documents

Frequently Asked Questions

Is the MCP server secure?

Which AI clients support MCP?

How to develop your own MCP server?

Related Resources

MCP Official Website

Official documentation and specifications

Awesome MCP Servers GitHub Repository

Complete list of MCP servers and resources

MCP Quick Start Tutorial

MCP getting - started guide

MCP Discord Community

Communicate with other developers

Featured MCP Services

Markdownify MCP

Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.

Gitlab MCP Server

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

Duckduckgo MCP Server

The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.

Figma Context MCP

Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.

Minimax MCP Server

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

Gmail MCP Server

A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.

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