# AI interaction

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection testing through MCP Inspector, and integration into the Claude desktop application for using mathematical tools.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

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.

MacPilot CLI is an open-source tool that enables large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

A simple MCP server that enables clients to interact with Claude and execute tool processes

This is a server - side project that implements the Model Context Protocol (MCP). It supports AI assistants to interact with external services and data sources, is compatible with AI assistants such as Claude, and provides task creation, debugging tools, and development guides.

The MySQL MCP Server is a MySQL database operation server based on the MCP protocol, providing a set of tools for AI models to interact with MySQL, supporting various database operations and data analysis functions.

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.

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.

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.

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

A message context protocol server integrating Apache Kafka, providing publishing and consuming functions for LLM and agent applications.

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.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports desktop environments such as KDE and provides seamless integration with OpenAI, Ollama, and AMD Ryzen AI hardware acceleration.

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.

This project is a Python-based multi-MCP server management framework that interacts with the Google Gemini API through the SSE protocol. It includes two major function modules: calendar management and browser automation, and supports dynamically loading multiple services through a configuration file.

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.

React MCP is a service that implements the Model Context Protocol, providing Claude AI with the ability to interact with React applications, supporting the creation, running, and management of React projects, as well as file operations and terminal command execution.

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

The Starknet MCP Server is a server based on the Model Context Protocol that enables AI agents to interact with the Starknet blockchain, including querying data, managing wallets, and performing smart contract operations.

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.

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.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

This is a Shopify MCP server project that enables interaction between AI agents and Shopify stores through a standardized protocol, providing functions such as API integration, product management tools, and store data access.

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.

The MCP Terminal Server is a secure command-line interface service that provides terminal interaction capabilities for AI models while ensuring system security.

The n8n MCP Server is a protocol service that allows AI assistants to interact with n8n workflows through natural language, providing functions such as workflow management and execution monitoring.