# AI Interaction

Docker MCP is a tool that implements the Model Context Protocol (MCP), providing a JSON API interface for AI assistants to interact with the Docker engine.

MCPet is an AI - based virtual pet simulation system that provides a digital pet - raising experience through the Model Context Protocol.

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.

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.

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

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 official ElevenLabs MCP server provides the ability to interact with text - to - voice and audio processing APIs

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.

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.

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

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

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.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

The Discord MCP Server is a Discord API integration service based on the Model Context Protocol (MCP), allowing AI assistants to interact seamlessly with Discord, including functions such as managing channels, sending messages, and getting server information.

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.

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.

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

The Perplexity MCP Server is a Node.js-based server that implements Anthropic's Model Context Protocol (MCP) for connecting Claude and Perplexity's language models, providing enhanced AI interaction tools.

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.

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 service that integrates with Twitter through the Model Context Protocol (MCP), allowing AI models to interact with Twitter without directly accessing the API. It supports tweet operations, user operations, and Grok AI integration.

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

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.

A server based on the MCP protocol for AI models to interact with Kubernetes troubleshooting support bundles, providing bundle management, command execution, and file browsing functions.

Guide to installing and using the Groq Cloud MCP client, supporting interaction with local and remote MCP servers.

The BCI-MCP project combines brain-computer interface technology with the model context protocol to create a powerful framework for neural signal acquisition, processing, and AI interaction.

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

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.

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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login. It supports local development and debugging, connection testing through the MCP Inspector, and finally integrates with the Claude desktop application after deployment to Cloudflare for remote tool invocation.