Ai MCP Servers
A curated list 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.
rating : 2 points
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What is an MCP server?
MCP servers are a set of tools that allow AI models to access and operate on multiple data sources and services, including file storage, databases, knowledge bases, and APIs, through a unified interface.Why choose MCP?
MCP provides a standardized way to enhance the capabilities of AI models, enabling them to interact securely with external resources while maintaining flexibility and scalability.Advantages of MCP servers
With MCP, developers can easily create AI applications compatible with multiple data sources without the need for separate integration for each service.Secure accessProvides multi - level security mechanisms to ensure the confidentiality and integrity of data interactions. Read - only mode is used by default to reduce risks.
Wide compatibilitySupports multiple resource types, including file storage, databases, knowledge bases, and APIs, to meet the needs of different application scenarios.
Highly extensibleAllows developers to easily add new resource adapters to support more data sources and service types.
Install the MCP server
Use npm to install the required MCP server modules. For example, for the file storage server: npm install @mcp/server - storage.
Configure the server
Adjust the configuration parameters according to your needs, such as setting API keys or specifying the database to connect to.
Start the service
Run the installed MCP server module to start providing services: npm start @mcp/server - storage.
How does the MCP server ensure data security?
What types of data sources are supported?
How to handle errors or exceptions?
MCP Protocol Documentation
Gain in - depth understanding of the specifications and technical details of the MCP protocol.
Developer Guide
Learn how to develop and integrate new MCP adapters.
Example Projects
View example applications using MCP servers to get started quickly.
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points

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
97
4.3 points

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
1.7K
5 points

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
150
4.5 points

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#
572
5 points

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
6.7K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

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
288
4.5 points