The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol, allowing AI assistants to interact with Unity projects and providing a bridge between Unity and the Node.js server.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.

An ADB - based Android device control server that provides device management functions through the MCP protocol, supporting ADB command execution, screenshot capture, UI layout analysis, and application package management.

The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.

This is a server that implements the MCP code execution mode. Through a single-tool bridge and zero-context discovery mechanism, it reduces the overhead of MCP tool calls from tens of thousands of tokens to about 200 tokens and securely executes Python code in the root container, supporting data science and secure isolation.

This project builds a bridge between Claude Code and Google Gemini AI, enabling direct calls to Gemini in the Claude Code environment for Q&A, code review, and creative brainstorming, providing a convenient AI collaboration tool.

DroidMind is a bridge tool for controlling Android devices via AI, implementing the Model Context Protocol (MCP), allowing AI to interact securely with Android devices through natural language.

MCP2Lambda is an MCP server that allows AWS Lambda functions to be used as tools for large language models (LLMs) without modifying the code. It builds a bridge between AI models and Lambda functions through the Model Context Protocol (MCP), enabling models to access private resources and perform custom operations.

An MCP server based on the TCP protocol designed for Windows, used to remotely build and test .NET Framework projects via Claude Code in a WSL/Linux environment, providing a bridge to the Windows build toolchain.

ToolJet MCP is a bridge connecting AI assistants to the ToolJet platform, enabling programmatic interaction through the Model Context Protocol and supporting functions such as user management, workspace operations, and application management.

Revit MCP integration is a bridge connecting Autodesk Revit and AI assistants, enabling model interaction through natural language.

A Node.js server that acts as a bridge between the Chrome DevTools extension and Cursor AI, providing debugging and monitoring functions, including capturing console logs, network requests, screenshots, etc.

The Revit MCP server is a TypeScript - based bridge service that enables real - time model data interaction between Claude AI and Autodesk Revit

The Notion MCP Server is a bridge connecting AI assistants and Notion workspaces. Through the standardized Model Context Protocol, it enables AI to programmatically access and manipulate Notion databases, pages, and content blocks.

SearchAPI-MCP-Server is a search API server based on the MCP protocol, providing a standardized access interface to services such as Google Search, Maps, Flights, and Hotels, serving as a bridge between AI assistants and search services.

An MCP protocol server implemented for the Paradex trading platform, providing a bridge function between AI assistants and the trading platform

The Vantage MCP Server is an open-source tool that helps users query and analyze cloud cost data through natural language interaction. It serves as a bridge between the Vantage API and AI assistants, providing intuitive cost analysis capabilities and supporting integration with multiple MCP clients.

A custom MCP server that provides functions such as code repository management, test running, and development workflow generation

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

This project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

This project provides a set of tools and services to integrate Power Platform CLI, Graph API, and Azure REST API through the Model Context Protocol (MCP), support interaction with AI models, and simplify the development process.

A Ghidra plugin that bridges an MCP server through Zig to enhance program analysis capabilities

Implementation of the ServiceNow MCP server, providing a bridge for Claude to interact with a ServiceNow instance

This project implements an MCP server as a bridge between AI assistants and the Outline document service, providing functions such as document search, management, creation, and editing.

The MCP server for Atlassian Confluence serves as a bridge for AI assistants to access and interact with Confluence content in real - time.

The Gentoro MCP server provides interaction capabilities between AI agents such as Claude and the Gentoro bridge service, supporting tool integration and function control.

Unity-MCP is an open - source project that connects the Unity game engine with AI assistants. It implements AI - assisted development, automated testing, and runtime debugging functions through the Model Context Protocol.

Claudeus Plane MCP is a powerful bridge connecting Claude AI with the Plane project management platform, providing automated project management, intelligent task assignment, and team collaboration functions to improve project management efficiency through AI.

The APISIX MCP Server is a tool that bridges large language models and the APISIX Admin API, supporting the management of APISIX resources through natural - language interaction.

The bioRxiv MCP Server provides a bridge for AI assistants to access the bioRxiv pre - print library, supporting functions such as paper search and metadata retrieval, and facilitating biological scientific research.

Figma MCP Bridge is a real-time two-way communication MCP server that bridges the Figma plugin through WebSocket, enabling Claude to read and operate on Figma documents. It supports 62 types of Figma operations, including creating shapes, modifying styles, managing components, and exporting resources.

MCP Access Point is a lightweight protocol conversion gateway tool used to establish a communication bridge between traditional HTTP services and MCP clients, supporting protocol conversion without modifying server interfaces.

The Google Tasks MCP Server is a bridge connecting Claude and Google Tasks, allowing you to directly manage task lists and tasks through Claude.

mcp2mqtt is a bridge project that connects IoT devices with large AI models, enabling natural language control of hardware devices through the MCP and MQTT protocols.

The Kali Linux MCP project encapsulates Kali security tools through the Flask API and provides an MCP bridge service, supporting AI-assisted security testing workflows

KOI-MCP is a bridge framework that integrates the Knowledge Organization Infrastructure (KOI) with the Model Context Protocol (MCP), enabling autonomous agents to exchange rich personality traits and expose capabilities as standardized tools.

The Telegram MCP server is a bridge connecting the Telegram API with AI assistants. Based on the Model Context Protocol (MCP), it provides read-only access to the Telegram API.

SP-MCP is a bridge project that connects the Super Productivity application with the MCP protocol, enabling direct interaction between the Claude desktop and task management tools, and supporting task creation, project management, and data synchronization functions.

The Speckle MCP Server is a bridge connecting the Speckle API and client applications, providing tools for interacting with project, model, and object data.