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Laravel Vibes
Laravel Vibes is a powerful Laravel package for implementing the Machine Control Protocol (MCP) server, supporting seamless integration of AI agents. It provides features such as a tool registration system, real-time communication (SSE), and API endpoints, and supports automatic discovery and type safety.
php
3.6K
2.5 points
MCP Deepseek Demo
The MCP DeepSeek demo project is a client application based on the MCP protocol, integrating DeepSeek AI to achieve tool invocation and real-time communication, including a Next.js front-end and an SSE server.
TypeScript
3.7K
2.5 points
MCP Http Proxy
An HTTP/SSE proxy server based on Node.js, used to simplify interaction with MCP (Model Context Protocol) services, providing HTTP interfaces and real-time event push functions.
3.5K
2 points
MCP Browser
The MCP Browser is a headless browser interface based on Playwright, supporting web UI interaction and WebSocket real-time communication. It is designed for AI agent and MCP protocol integration.
Python
3.7K
2.5 points
Sillytavern MCP Extension
The MCP extension plugin for SillyTavern enables registration and execution of external tools via WebSocket, providing a standardized interface and real-time status updates.
JavaScript
3.7K
2 points
MCP Fastapi Ping Pong
An experimental and educational Ping-Pong server that demonstrates remote MCP calls via FastAPI, supporting API endpoints and SSE communication.
Python
3.4K
2 points
MCP Websocket
An MCP server supporting real-time WebSocket updates
Python
3.6K
2.5 points
My Tools MCP
A VSCode/Cursor extension that provides an integrated MCP server and a UI panel for retrieving and displaying documentation of command-line tools. It supports automatic detection of workspace tools and displays documentation through a WebView panel.
TypeScript
3.5K
2.5 points
Kakehashi Inc Mattermost MCP Server
This project is a Model Context Protocol (MCP) server implemented for Mattermost integration. It retrieves and processes information by connecting to Mattermost API endpoints, supports two transmission modes (SSE and standard I/O), and provides real-time message processing and team/channel monitoring functions.
TypeScript
3.5K
2 points
Featured MCP Services
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
117
4.3 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
858
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.
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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.
Python
171
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#
591
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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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4.5 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.
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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.
TypeScript
5.3K
4.7 points