# AI Interaction

The Kubernetes MCP Server is a bridge that connects large language models and Kubernetes clusters, supporting the management of Kubernetes resources through natural language.

The Paper MCP Server is the official model context protocol server of the Paper trading platform, enabling AI assistants such as Claude to interact with Paper's API through natural language.

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.

A Docker - based Minecraft server management tool that enables AI interaction with the Minecraft server through RCON

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.

The DaVinci Resolve MCP Server is a bridge that enables interaction between AI assistants and DaVinci Resolve via the Model Context Protocol (MCP), supporting functions such as project management, timeline operations, media management, and Fusion composition.

LMStudio - MCP is a model control protocol server that enables Claude to interact with locally running LM Studio models.

A template project for building tools compliant with the Model Context Protocol (MCP), providing a standardized infrastructure for AI tool interaction.

The PHP MCP protocol server is used to integrate PHP with Anthropic's Claude AI, supporting direct execution of PHP code and providing environment information.

QGIS MCP is an integrated tool that connects QGIS with Claude AI, enabling two-way interaction through the MCP protocol and supporting functions such as project creation, layer operation, and processing algorithm execution.

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 the MCP inspector, and integration into the Claude desktop application to invoke mathematical tools.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, allowing connection to the service through the MCP Inspector tool or the Claude desktop application. Finally, it can be deployed to the Cloudflare cloud for remote calls.

The Grasshopper MCP server enables natural language interaction between AI models and the Rhinoceros/Grasshopper parametric design tools, supporting the connection between large language models and design software through the HTTP/WebSocket protocol.

A server based on the Model Context Protocol (MCP) that connects AI models with the Notion API to enable interactive operations on Notion documents and data.

This project is a registry for Model Control Protocol (MCP) servers, providing various MCP services for AI assistants like Claude, including 3D graphics interaction, GitHub integration, real - time documentation lookup, and AI metacognition tools.

Sonic Pi MCP is a server that allows AI assistants to interact with Sonic Pi through OSC messages, supporting programmed music creation and control.

A Node.js-based Webflow MCP server that implements the model context protocol through the Webflow JavaScript SDK, enabling AI agents to interact with the Webflow API.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integration, and other context services.

The OceanBase MCP Server is a secure intermediary service that allows AI assistants to interact with OceanBase databases through a controlled interface.

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

The FalkorDB MCP server is a middleware that follows the Model Context Protocol (MCP) and is used to connect AI models with the FalkorDB graph database to implement query and interaction functions.

The Cocos Creator MCP Server Plugin is a comprehensive MCP server plugin designed for Cocos Creator 3.8+. It enables interaction between the AI assistant and the editor through a standardized protocol, offering one-click installation and support for 151 tools, covering 98% of the editor's control functions.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers, including the full process of local development, MCP Inspector connection, Claude desktop application integration, and cloud deployment.

An MCP server tool that connects Claude with large language models running in local LM Studio

Implementation of the Gemini MCP Server, supporting interaction between Claude Desktop and the Google Gemini 2.5 Pro Experimental model

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including the OAuth login function, and supports connection and use through the MCP inspector and Claude desktop client.

An MCP server implemented through the official Notion SDK that allows AI models to interact with Notion workspaces, providing tools for search, database operations, page management, etc.

An MCP server for managing Docker through natural language, supporting container orchestration, debugging, and data management.

This guide introduces how to build an MCP server using Python, enabling AI assistants to interact with external tools and data sources through the MCP Python SDK, including installation, quick server setup examples, testing, and deployment considerations.

An MCP server designed for Prefect that allows AI assistants to interact with Prefect through natural language and supports multiple functions such as workflow management and deployment management.