# AI Interaction

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 virtual travel robot environment based on the MCP server, allowing users to conduct virtual travel through Google Maps and interact with AI travelers.

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

A GitHub interaction server based on the Model Context Protocol, supporting functions such as repository search, issue management, and PR handling.

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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and achieve secure access through OAuth login. It supports local development and debugging, connection with the MCP checker and the Claude desktop client, and can finally be deployed to the Cloudflare cloud.

WP-CLI AI command plugin that enables AI interaction in WordPress development through the Model Context Protocol (MCP), supporting connection to local or remote MCP servers.

Morphik MCP is a multimodal database interaction protocol server that supports document management, retrieval, and file system operations

A simple MCP server prototype based on Node.js and Express for interacting with the OpenAI API through structured contexts, supporting dynamic character updates and story plot generation.

DartMCP is a Model Context Protocol (MCP) implemented in the Dart language, providing server and client components for building interoperable AI tools and services.

VRChat MCP OSC is a bridge that connects AI assistants with VRChat through the OSC protocol, supporting AI - controlled virtual avatar actions, expressions, and interactions.

MCP is an open - source protocol developed by Anthropic, aiming to provide a standardized way for AI models to interact with external data sources and tools. The project implements functions such as weather queries, Google automatic searches, and camera control. It is highly configurable and suitable for scenarios such as intelligent assistants and automated workflows.

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.

Bonsai - mcp is a Blender plugin that implements the analysis and operation of IFC building models through IfcOpenShell, supporting the execution of building information model query tasks through interaction with LLMs such as Claude.

The Rhino MCP Server project enables the interaction between Claude AI and Rhino 3D, supporting the creation and manipulation of 3D objects

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.

A server based on the MCP protocol that enables AI models to interact with the Lightning Network and pay invoices.

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

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

A project that runs a Model Context Protocol (MCP) server, encapsulates the CodeQL query server, and supports interaction with CodeQL through structured commands and document search.

This is an example of an MCP server based on Spring Boot, used to interact with AI models and provide a standardized interface to access real - time data and services.

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.

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

Hello-MCP is a simple project implementing the MCP protocol, including a client and a server, which helps understand the working principles of the MCP protocol.

The Meta API MCP Server is a multi - API gateway server that connects various APIs with large - language models (such as Claude, GPT, etc.) through the Model Context Protocol (MCP), enabling AI assistants to directly interact with APIs and access real data sources. It supports quickly adding APIs from JSON configuration files or Postman collections, and provides comprehensive support for HTTP methods and multiple authentication methods.

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.

A project that uses the MCP protocol to connect Gemini AI with a weather tool server to enable interaction between AI and professional tools.

A lightweight MCP file system server that enables AI agents to interact with the local file system through a JSON - RPC interface, supporting operations such as file reading and writing, and directory listing.

The MCP Server of the Flowcore platform is used to manage and interact with Flowcore resources, providing a standardized API interface.