As AI applications become more and more popular, various MCP (Model Context Protocol) servers continue to emerge, providing one-stop solutions for API integration, database operations, file processing, search services, etc. Here are 20 popular MCP servers, each of which includes a functional overview, recommended reasons, and detailed addresses for your reference!

1. GitHub MCP Server

• Functional Overview:
  
  

  The server can deeply integrate GitHub API to implement file operations, repository management, search and other functions, thereby supporting the automated management of code repositories.
• Recommended reasons:
  
  

  For developers who need to automate the management of code repositories and implement version control tasks, GitHub MCP Server can significantly improve work efficiency.
• ** Detailed address: ** https://github.com/modelcontextprotocol/servers/tree/main/src/github

2. SQLite MCP Server

• Functional Overview:
  
  

  Based on the SQLite database, this server supports SQL queries, data analysis, and business intelligence insight generation, and is very suitable for lightweight data processing.
• Recommended reasons:
  
  

  SQLite MCP Server is an efficient and easy-to-use tool for quickly building database applications, performing local data processing, and analyzing business data.
• ** Detailed address: ** https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite

3. PostgreSQL MCP Server

• Functional Overview:
  
  

  Provides users with read-only access to a PostgreSQL database, enabling them to inspect the database schema and execute read-only queries.
• Recommended reasons:
  
  

  It is particularly suitable for scenarios that require secure data exploration and enterprise-level queries, ensuring data access while effectively protecting data security.
• ** Detailed address: ** https://github.com/modelcontextprotocol/servers/tree/main/src/postgresql

4. Filesystem MCP Server

• Functional Overview:
  
  

  It is implemented using Node.js and supports comprehensive operations on the local file system, including file reading and writing, directory management, and content processing.
• Recommended reasons:
  
  

  Whether it is automated file processing or batch content management, the server can provide a convenient and efficient solution.
• ** Detailed address: ** https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem

5. Slack MCP Server

• Functional Overview:
  
  

  Deep integration with the Slack API enables AI to perform operations such as message sending, channel management, and task collaboration.
• Recommended reasons:
  
  

  For real-time team communication and collaborative management, this server can seamlessly connect to the Slack workspace to improve information communication efficiency.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/slack

6. GitLab MCP Server

• Functional Overview:
  
  

  Integrate GitLab API to achieve project management, file operations and team collaborative development, and support efficient operations on code bases.
• Recommended reasons:
  
  

  For development teams that use GitLab as their main code management platform, the server helps optimize collaboration processes and improve productivity.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab

7. Google Drive MCP Server

• Functional Overview:
  
  

  Allows users to browse, read and search files on Google Drive, and supports automatic conversion of multiple file formats.
• Recommended reasons:
  
  

  For users who need to integrate cloud-based document and data management, this server can greatly facilitate centralized file processing and retrieval.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/googledrive

8. Sentry MCP Server

• Functional Overview:
  
  

  Provides support for reading and analyzing debugging information such as Sentry error reports and stack traces to facilitate monitoring of application health.
• Recommended reasons:
  
  

  It helps to quickly locate errors and exceptions in the application and improve the efficiency of developers in debugging and maintaining the system.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/sentry

9. Fetch MCP Server

• Functional Overview:
  
  

  It supports crawling web page content and can automatically convert HTML into easy-to-read Markdown format to facilitate content organization and sharing.
• Recommended reasons:
  
  

  It is particularly suitable for scenarios that require real-time collection and organization of network information, and provides convenient automated support for content management.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/fetch

10. Google Maps MCP Server

• Functional Overview:
  
  

  Based on Google Maps API, it provides AI with map service functions such as geocoding and route planning.
• Recommended reasons:
  
  

  In application scenarios such as navigation, positioning and geographic information query, this server can provide high-precision data support and intelligent services.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/googlemaps

11. git MCP Server

• Functional Overview:
  
  

  Enables advanced interaction with Git repositories, including code repository reading, searching, and automated management, and supports efficient version control.
• Recommended reasons:
  
  

  For projects with high requirements for version control and code management, this server can effectively improve the automation and collaborative efficiency of the development process.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/git

12. Brave Search MCP Server

• Functional Overview:
  
  

  Integrates Brave Search API to provide local and network search functions, and can obtain and filter the latest information in real time.
• Recommended reasons:
  
  

  In scenarios that require intelligent retrieval and information integration, this server can provide applications with stable and accurate search capabilities.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/bravesearch

13. Knowledge Graph Memory Server

• Functional Overview:
  
  

  Use the local knowledge graph to build a persistent memory system, allowing AI to maintain contextual information during multiple rounds of conversations.
• Recommended reasons:
  
  

  It greatly enhances the coherence and intelligence of AI dialogues and is an important tool for improving user experience and information memory.
• Detailed address: https://github.com/modelcontextprotocol/servers/tree/main/src/knowledgegraphmemory

14. Convex MCP Server

• Functional Overview:
  
  

  Allow users to securely read, write, and manage data tables, and ensure data integrity and security through sandboxed queries.
• Recommended reasons:
  
  

  It is very suitable for real-time applications and dynamic data access scenarios, and can meet the needs of high-security data operations.
• Detailed address: https://glama.ai/mcp/servers/bfm97spkcc

15. Genkit MCP

• Functional Overview:
  
  

  Achieve seamless integration between Genkit and MCP, and provide capabilities for custom extensions of AI tools.
• Recommended reasons:
  
  

  Genkit MCP is a very suitable option for scenarios that require extending the tool chain and implementing custom development.
• Detailed address: https://glama.ai/mcp/servers/m6x141u6rd

16. Figma MCP Server

• Functional Overview:
  
  

  Allow AI to directly access and parse Figma design files, accurately extract design data, and assist in code generation and design collaboration.
• Recommended reasons:
  
  

  It is particularly suitable for collaboration between designers and developers, making the transition between design documents and code practices smoother.
• Detailed address: https://glama.ai/mcp/servers/kcftotr525
  

17. Markdownify MCP Server

• Functional Overview:
  
  

  Supports converting various file types (such as PDF, images, audio, etc.) and web page content into standard Markdown format for easy archiving and sharing.
• Recommended reasons:
  
  

  Standardization of information content can make document reading, organization and subsequent processing more efficient.
• Detailed address : https://glama.ai/mcp/servers/bn5q4b0ett

18. mcp-server-firecrawl

• Functional Overview:
  
  

  Integrate FireCrawl's web crawler technology to achieve large-scale, complex web data crawling and structured analysis.
• Recommended reasons:
  
  

  When you need to collect and extract web page information in batches, this server will greatly reduce manual intervention and improve data acquisition efficiency.
• Detailed address: https://glama.ai/mcp/servers/57mideuljt

19. mcp-server-chatsum

• Functional Overview:
  
  

  Focus on chat record summaries, organizing lengthy conversations into concise and concise summaries.
• Recommended reasons:
  
  

  For scenarios that require processing large amounts of conversation data and improving information delivery efficiency, the server can easily achieve efficient summarization.
• Detailed address : https://glama.ai/mcp/servers/acahzjtv6h

20. Apple MCP Server

• Functional Overview:
  
  

  It is tightly integrated with the Apple ecosystem and can interact with apps such as Messages, Notes, and Contacts to enable message sending and content query using natural language.
• Recommended reasons:
  
  

  For users who rely heavily on the Apple platform, the server can provide convenient cross-application data management, thereby improving the user experience.
• Detailed address: https://glama.ai/mcp/servers/gq2qg6kxtu

Summarize

The above 20 popular MCP servers cover multiple fields such as code management, database operations, file processing, real-time communication, web crawling, design collaboration, etc., providing diverse expansion capabilities for various AI tools. If you are looking for a simple and efficient way to enhance application functions, these MCP servers will undoubtedly meet your requirements.

You can choose the server that best suits your needs and learn more or get the code directly through the above detailed address. Come and experience these powerful tools and give your project a new vitality!