# AI Integration

An MCP server based on Cloudflare Worker, providing the ability to generate images through the Flux model

The Neo4j MCP project connects LLMs with external systems through a standardized protocol to enable natural - language operation of Neo4j databases, knowledge graph storage, and Aura cloud service management.

This project implements two types of MCP protocol servers: the Echo Server for testing and the Browser-use Server based on browser automation tools, supporting LangChain integration and interaction with OpenAI.

An educational proof-of-concept server for securely retrieving 1Password credentials and providing them to AI agents through the MCP protocol.

A Locust load test server implementation based on the Model Context Protocol, supporting AI development environment integration

The TRELLIS Blender plugin integrates advanced text/image - to - 3D model generation capabilities into Blender, supports generating textured 3D meshes from text or images, and provides detail adjustment functions. The plugin also integrates the MCP service and can communicate with tools such as Cursor/Windsurf.

An implementation of the MCP Server for Azure DevOps, providing a standardized protocol for AI assistants to access the Azure DevOps API

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.

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

An MCP tool that enables Google search and web content extraction through the Chrome browser, integrated with Claude to enhance search capabilities

An MCP service based on the Xueqiu API, providing stock data query functions through an AI assistant

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 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 AIO-MCP Server is a powerful model context protocol server that integrates multiple services such as GitLab, Jira, Confluence, and YouTube, providing AI-driven search capabilities and development workflow tools.

The Minimax MCP Tools is an MCP server implementation integrating the Minimax API, providing AI image generation and text-to-speech functions, and supporting seamless integration with the Windsurf editor.

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.

UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and the AI assistant, supporting real-time editor state monitoring, remote command execution, and comprehensive logging functions.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including the OAuth login function, and supports connecting and invoking tool services through the MCP inspector and the Claude desktop application.

Lspace is an open - source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and share them across tools.

The HubSpot MCP Server is middleware that connects an AI assistant to HubSpot CRM data, providing access to contact, company, and interaction data. It has vector storage and caching mechanisms to improve performance.

A proof-of-concept project for a Prometheus MCP server to integrate with Claude AI for visual display of monitoring data.

The GIMP-MCP project aims to integrate GIMP with AI models through the Model Context Protocol (MCP), providing intelligent image editing functions such as background removal and image repair.

QGIS MCP is a plugin that connects QGIS and Claude AI. It enables two-way communication through the Model Context Protocol, allowing AI to directly control QGIS for map project creation, layer loading, and processing algorithm execution.

An MCP Server Collection project that provides multiple service integrations for AI assistants, including functions such as search, file system, Git, GitHub, Shell, Figma, Slack, web scraping, and Notion. It enhances the capabilities of AI assistants through the Model Context Protocol.

The Revit - MCP tool library provides comprehensive automated interaction functions for Autodesk Revit, enabling deep integration between AI assistants and Revit via the MCP protocol.

Claude Terminal Monitoring Plugin, enabling real-time terminal output monitoring via the MCP protocol

This project is a bridging service that connects Hasura PromptQL with AI assistants (such as Claude), enabling natural language query of enterprise data through the Model Context Protocol.

This is an example of an MCP server for connecting to Kintone, which supports accessing and updating Kintone data through AI applications such as Claude

The Square MCP service is a project that follows the Model Context Protocol standard, providing an interface for interacting with the Square Connect API, supporting quick startup, multi-environment configuration, and integration with mainstream AI assistants.