# AI integration

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

OmniFocus MCP Enhanced is an AI-driven productivity tool that provides native custom view access, hierarchical task management, intelligent filtering, etc., and deeply integrates Claude AI to achieve intelligent workflows.

A Python-based MCP server example project that demonstrates how to create custom tools (such as sticky note management) and integrate with AI assistants (such as Claude) to achieve external data interaction and operations.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP) that provides real-time web search and data extraction capabilities for AI systems such as Claude. It supports seamless integration with multiple MCP clients (such as Cline, Cursor, and Claude Desktop), enabling AI assistants to access Tavily's advanced search and content extraction functions.

Locust-MCP-Server is a server implementation based on the Model Context Protocol (MCP), used to run Locust load tests and supports seamless integration with AI development environments.

This is an MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data access, dashboard management, and query execution. It supports two authentication methods, facilitating direct interaction between AI and the data analytics platform.

This project provides a guide for integrating AI chat functionality into Android Studio, enabling developers to interact with code and projects using natural language, including functions such as code Q&A, modification, explanation, and debugging.

MCPXcode is an open - source project that implements the Model Context Protocol (MCP) specification, providing a structured protocol between Xcode and AI assistants for context exchange and tool execution.

Clo MCP is an integrated system that connects Clo3D with large language models, enabling AI-assisted fashion design and scene manipulation through the model context protocol.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

This project demonstrates how to build a remote MCP server on Cloudflare Workers and implement the OAuth login function. Users can connect to the server via the MCP Inspector or the Claude desktop application to invoke defined functions such as math tools. The project includes the complete process of local development, remote deployment, and integration with Claude.

Yingdao RPA MCP Server is an implementation based on the Model Context Protocol (MCP), providing a service for Yingdao AI Power and other MCP Host tools to call RPA capabilities. It supports the local mode and the open API mode, and can query and run RPA applications, upload files, manage jobs, etc.

Fetch MCP Server is an implementation based on the Model Context Protocol (MCP), providing real-time communication and web content scraping functions, supporting Server-Sent Events (SSE) and AI application integration.

The Kong Konnect MCP server is a Model Context Protocol service for interacting with Kong Konnect APIs, enabling AI assistants to query and analyze Kong gateway configuration, traffic, and statistics data.

A simple MCP server designed for x64dbg_automate, used to connect the debugger with the AI agent.

TaskBoardAI is a lightweight, file - based kanban tool designed for AI agents, supporting JSON file storage and MCP server integration, and providing rich kanban management functions.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and tool invocation through the MCP Inspector and Claude desktop client.

The GeoFS MCP server is a model context protocol server designed for the GeoFS flight simulator, which allows AI models to control the aircraft and obtain real-time flight data through HTTP and WebSocket interfaces.

This is an MCP server designed for the TweetBinder by Audiense API, allowing AI models such as Claude to access the analysis data of Twitter/X, including functions such as creating reports, obtaining statistical data, and analyzing tweet content.

This project enhances Claude's ability to handle complex reasoning tasks by integrating the inference engine of DeepSeek R1 and provides an efficient and accurate multi - step reasoning solution.

A server that provides Steam game data through the MCP protocol

Adaptive Graph of Thoughts is an intelligent scientific reasoning framework based on the Neo4j graph database, which realizes complex scientific reasoning tasks through graph structure and supports integration with AI applications such as Claude Desktop.

An MCP server tool that allows Claude AI to directly interact with MySQL databases

This project enhances Claude's ability to handle complex tasks by integrating the reasoning engine of DeepSeek R1, providing support for multi-step precise reasoning.

This project implements an MCP server based on FastAPI, which supports interacting with the file system through HTTP requests, including file creation, reading, copying, moving, and deletion, and integrates the Google Gemini API for file content processing and summary generation.

DaVinci Resolve MCP Server is a Model Context Protocol server that connects AI programming assistants (such as Cursor, Claude Desktop) with DaVinci Resolve, supporting natural language queries and control of DaVinci Resolve.

The UniProt MCP Server is a service that provides protein information query for language models. It supports searching for proteins, obtaining detailed information, sequences, functional annotations, and structural data from the UniProt database, and can be integrated into AI applications such as Claude Desktop.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

An MCP server based on the Gemini API and Google Search, providing real - time information query functions for AI assistants