
Azuredevops MCP
The MCP integration service for Azure DevOps provides a standardized access interface to work items, code repositories, projects, kanban boards, and iterations.
TypeScript
3.6K
2.5 points

Netsensei
NetSensei is a network management tool server based on the MCP protocol, providing functions such as ping tests, route tracing, Nmap scans, packet sniffing, and SSH connections to help network administrators efficiently manage the network.
Python
3.3K
2.5 points

MCP Node Omnibus Server
A comprehensive Node.js development tool server that provides automation capabilities for project creation, component generation, configuration management, etc.
TypeScript
3.4K
2.5 points
Featured MCP Services

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