# AI Integration

Overseerr MCP is an integrated service for a media request system that enables natural language interaction through Claude AI, supporting the search for movies/TV shows, submission of media requests, and management of Overseerr instances.

An EigenLayer MCP service based on Next.js that provides document support for AI assistants and can be run locally or deployed to Vercel

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

Logseq MCP toolset that provides local Logseq interaction capabilities for AI agents

The MCP Browser is a headless browser interface based on Playwright, supporting web UI interaction and WebSocket real-time communication. It is designed for AI agent and MCP protocol integration.

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

A GitHub code review server based on the Model Context Protocol that provides automated code review services for Pull Requests by integrating OpenRouter's AI models.

A code context analysis service based on WebAssembly, providing directory structure and code symbol extraction functions, supporting the analysis of JavaScript/TypeScript and Python languages, and seamlessly integrating with AI assistants.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connection and use via the MCP checker and Claude desktop application.

awesome - mcp is a project that collects Model Context Protocol (MCP) servers/clients, aiming to simplify the integration of large language models with external systems through a standardized protocol.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connections through the MCP checker and the Claude desktop client.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

TeamSpeak MCP is a service based on the Model Context Protocol for controlling TeamSpeak servers through AI models (such as Claude), providing comprehensive channel management, user permission control, voice adjustment, and other functions.

MCP Server Box is a Python project that implements functions such as file search, text extraction, AI queries, and data extraction through the Box API. It integrates the box-sdk-gen library and provides a toolset for interacting with Box files and folders.

Medusa's MCP server for integrating AI and automation tools

This is a Java-based MCP server project for managing appointment data in the database. It provides a modular framework, supports user authentication, appointment management, and AI-driven functions, integrates PostgreSQL/MySQL databases, and uses a token authentication mechanism.

This project provides an MCP server that connects AI assistants with Atlassian Bitbucket, enabling secure access to repositories, pull requests, etc., and enhancing the interaction ability between AI and version control systems.

The CucumberStudio MCP Server project provides context services for AI applications with data from the CucumberStudio platform

The MCP server of TweetBinder provides an interface for AI models such as Claude to access Twitter/X data analysis.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login, supporting connection and tool invocation through the MCP Inspector and Claude desktop application.

The MCP server CLI tool of Specif-ai for model context protocol communication

The Payman AI Documentation MCP Server provides developers with convenient documentation access and integration support.

The ScrapeGraph MCP Server is a production-ready model context protocol server that provides seamless integration with the ScrapeGraph AI API, enabling language models to utilize advanced AI-driven web scraping capabilities.

The IssueBadge MCP Server is a server based on the Model Context Protocol (MCP) for interacting with the IssueBadge API through natural language, enabling AI assistants to manage digital badges and certificates.

OmniMind is an open - source Python library designed to simplify Model Context Protocol (MCP) integration and support the development of AI agents, workflows, and automation. It offers plug - and - play functionality, has built - in multiple tools, and provides intelligent responses based on Google Gemini, making it suitable for developers and beginners to quickly build AI applications.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

The Typesense MCP Server is a server that implements the Model Context Protocol (MCP), providing AI models with the ability to access Typesense search capabilities and supporting the discovery, search, and analysis of data in Typesense collections.

The Joplin MCP Server provides a Model Context Protocol interface for the Joplin note - taking application, enabling AI assistant integration and note management functions.

YDB MCP is a tool that provides Model Context Protocol services for the YDB database, supporting interaction with large language models through the MCP protocol to enable natural language database operations.

An MCP server that connects to the Strateegia API, providing project interaction functions for AI assistants