# AI interaction

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, supporting local development and cloud deployment, and enabling integration with the MCP inspector and the Claude desktop application.

A basic MCP server for AI clients to interact with etcd

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.

The MCP client project is used for advanced interaction with AI models and services, supporting tool calls and server management.

The Wonderland Editor MCP plugin interacts with AI assistants via the SSE transport protocol to enhance the development workflow.

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.

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.

A MySQL database operation service based on the Model Context Protocol, providing a standardized interface for AI models to interact with MySQL databases, supporting functions such as querying, executing SQL, and managing table structures.

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 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.

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.

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.

Linea MCP is a server that provides tools for AI applications to interact with the Linea blockchain. It supports functions such as wallet management, token operations, and smart contract interactions, and is compatible with multiple MCP clients.

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.

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables in-depth interaction between AI and the browser through a Chrome extension and a local Node server. It supports multi-dimensional audits such as performance, SEO, and accessibility and is compatible with multiple MCP clients.

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.

This project is a YouTube music control server based on the Model Context Protocol, which implements music search and playback functions through an AI model and supports cross - platform operations (mainly for Chrome automation on macOS).

A Python-based MCP client and server example project, including a weather server implementation and a Claude AI interaction client. It requires an Anthropic API key to run.

The MySQL MCP Server is a MySQL database operation service based on the MCP protocol, providing a toolset for AI models to interact with MySQL, supporting Docker deployment and various database operation functions.

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 demonstrates how to set up a remote MCP server on Cloudflare Workers, including the entire process of local development, OAuth login, connection with MCP Inspector and Claude Desktop client, and deployment to Cloudflare.

The MySQL MCP Server is a model context protocol server designed for MySQL databases, enabling the interaction between AI models and MySQL databases through a structured interface.

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.

The Anytype MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the Anytype API through natural language. It transforms the OpenAPI specification of Anytype into MCP tools, enabling knowledge base management through conversations.

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.

A Model Context Protocol (MCP) server implemented for Microsoft OneNote, providing a standardized interface for AI language models to interact with OneNote and supporting management functions for notebooks, sections, and pages.