
Mysql MCP Server
An MCP server for interacting with MySQL databases, supporting read-only queries and test write operations.
TypeScript
7.4K
2.5 points

MCP Server Docker
The Docker version of the MCP Server, which can connect to the Docker daemon
TypeScript
5.9K
2 points

MCP Server 0c3
The MCP Server is a Docker - based application that provides data access and tool operation functions via the MCP protocol and supports AI application integration.
Python
4.0K
2 points

MCP Tips
MCP is a protocol that enables AI models to communicate with development environments and tools, achieving context retrieval, command execution, and modifications of the codebase through standardized interfaces.
5.5K
2 points
Featured MCP Services

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.
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Gitlab MCP Server
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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.
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Duckduckgo MCP Server
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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.
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Unity
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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.
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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.
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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.
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