# AI interaction

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

The Dev Proxy MCP Server is a tool that provides Model Context Protocol (MCP) services for Dev Proxy, allowing AI assistants to interact with Dev Proxy functions through the MCP standard, including creating configurations, getting help, and discovering features.

Frida MCP is an MCP protocol implementation based on the Frida dynamic detection toolkit, providing AI systems with the ability to interact with mobile and desktop applications.

An implementation of the Model Context Protocol (MCP) in Java and the Spring framework, providing a standardized interface for interacting with AI models and supporting synchronous/asynchronous communication modes.

A WhatsApp integration server based on the MCP protocol, enabling direct interaction between AI assistants and WhatsApp through the Waha API, supporting message sending, contact management, and connection status checking.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through Chrome extensions and a local Node server, and is compatible with multiple MCP clients.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI to perform intelligent analysis and operations on browsers through a Chrome extension and a local server.

An MCP server based on Playwright, providing browser automation capabilities for LLMs

The Square Model Context Protocol (MCP) Server project follows the MCP standard and provides AI assistants with the ability to interact with the Square Connect API. It supports local and remote deployment and includes a complete Square API service catalog.

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.

An MCP server based on TypeScript, designed for the interaction between LLM and the Obsidian knowledge base, providing functions such as file operations, search systems, and property management.

MCP Router is a Python toolkit for managing MCP servers and interacting with OpenRouter AI models, supporting multi-step workflow orchestration and intelligent task analysis.

The Nostr MCP Server is a server based on the Model Context Protocol (MCP) that enables AI models to interact with the Nostr protocol, achieving free speech interaction on the decentralized social network.

This is an MCP server plugin developed for Autodesk Fusion 360, enabling AI assistants to directly interact with Fusion 360 through the MCP protocol, achieving functions such as design information acquisition, element modification, and CAD task prompting.

The Bunnyshell MCP Server project implements an AI interaction interface with the Bunnyshell platform through the CLI

The Emlog MCP Server is an integrated service for the Emlog blog system based on the Model Context Protocol (MCP). It provides standardized interfaces for AI assistants to interact with the Emlog blog and supports functions such as article management, category retrieval, comment operations, and microblog posting.

Obsidian MCP is a tool that interacts with the Obsidian knowledge base through the Model Context Protocol, supporting AI assistants to read, write, and manipulate notes.

A project that implements Server-Sent Events (SSE) based on the FastAPI framework, integrating the Model Context Protocol (MCP) function and providing a standardized interface for AI models to interact with external tools.

A lightweight file system service built on Python and the MCP library that securely exposes the file content and metadata in pre - configured directories and integrates with Claude AI for natural language interaction.

The A2A MCP Server is a service that bridges the Model Context Protocol (MCP) and the Agent - to - Agent Protocol (A2A), enabling MCP - compatible AI assistants (such as Claude) to seamlessly interact with A2A agents.

This project provides an MCP service for AI assistants to interact with the Mealie recipe database, supporting access through clients such as Claude Desktop.

This project is a Python server that connects the Claude desktop application and Unreal Engine 5.3, enabling the creation and editing of 3D scenes through text instructions. It supports functions such as basic object generation, blueprint invocation, and scene operation.

An MCP server project integrating the Spotify API, supporting interaction between AI assistants and users' Spotify data.

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.

A Rubik's Cube solving server based on the MCP protocol, providing functions for AI agents to manipulate the Rubik's Cube, real-time 3D visualization, and solving process management.

The Tinderbox MCP Server is a service that enables AI assistants (such as Claude) to interact with the Tinderbox knowledge management application through the Model Context Protocol (MCP), supporting the operation of Tinderbox documents using natural language, including creating notes, updating attributes, and linking notes.

An MCP server that provides browser automation capabilities for AI models, enabling models such as Claude and Gemini to perform web browsing, searching, and interaction operations through natural language instructions.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a complete process guide for local development, MCP inspector connection, Claude desktop application integration, and cloud deployment.

MCPMonkey is a browser extension based on Violentmonkey. It realizes the interaction function between AI language models and the browser by integrating the MCP protocol server, including tools such as tab management and page style extraction.

MCP Jenkins is an open-source project that bridges Jenkins with AI language models, follows Anthropic's MCP specification, and supports secure and context-aware AI interactions.