# AI interaction

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage, supporting multiple operations including read - write, delete, management, and AI functions.

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.

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.

The Starknet MCP Server is an AI model interaction service based on the Model Context Protocol, supporting the retrieval of the latest block information from the Starknet blockchain.

The multi-cluster MCP server provides a gateway for generative AI systems to interact with multiple Kubernetes clusters, supporting resource operations, cluster management, and monitoring.

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 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.

This project is a Python server that connects the Claude desktop application and Unreal Engine 5.3, enabling the creation and editing of 3D scenes through text instructions. It supports functions such as basic object generation, blueprint invocation, and scene operation.

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.

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

A basic MCP server for AI clients to interact with etcd

This project provides an MCP service for AI assistants to interact with the Mealie recipe database, supporting access through clients such as Claude Desktop.

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.

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.

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 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.

The Unichat MCP Server is a Python server that supports sending requests to multiple AI providers such as OpenAI and MistralAI via the MCP protocol, providing preset prompt functions such as code review and document generation.

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.

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.

The Bunnyshell MCP Server project implements an AI interaction interface with the Bunnyshell platform through the CLI

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.

Bonsai-mcp is a Blender plugin that enables analysis and operation of IFC building models through IfcOpenShell, supporting interaction with LLMs like Claude to perform building information model query tasks.

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.

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.

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.

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.

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.

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.

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.

A model context protocol server that implements Jira integration, providing a standardized interface for AI models to interact with Jira, including REST API integration, connection pool, error handling and other functions.