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Awesome Model Context Protocol (mcp) Servers
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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 toolsArtificial intelligence chatbots#AI Protocol#Server List#Development Tools#Resource Integration
2.5 points
8.2K
Open Site

Overview

Content Details

Alternatives

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 access
Supports accessing multiple resource types such as file systems, databases, and APIs
Secure access control
Provides fine - grained permission control to ensure data security
Cross - platform support
Supports multiple operating systems such as Windows, macOS, and Linux
Multi - language development
Supports developing servers in multiple programming languages such as Python, TypeScript, Go, and Rust
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 Analysis
Use an MCP server to connect to a database and let the AI assistant analyze sales data and generate reports
File Management
Use 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.2K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
8.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.5K
5 points
N
Notion Api MCP
Certified
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.
Python
23.4K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
79.5K
4.3 points
G
Gitlab MCP Server
Certified
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.
TypeScript
26.9K
4.3 points
M
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.
TypeScript
37.7K
5 points
U
Unity
Certified
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.
C#
38.0K
5 points
F
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.
TypeScript
71.2K
4.5 points
M
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.
Python
56.8K
4.8 points
G
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.
TypeScript
24.8K
4.5 points
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