# AI Integration

An open - source project researching the integration of Retrieval Augmented Generation (RAG) with Multi - Cloud Processing (MCP) servers, focusing on the application of free models in business software and providing a modular learning path and practical cases.

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 Python application integrating mathematical calculations and Gmail functions, which uses Gemini AI to handle mathematical problems and sends results via email

An MCP server that connects AI agents with Apache Jena, providing SPARQL query functionality

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.

This project provides a middleware/control plane (MCP) server that allows code agents to securely execute queries on multiple databases while protecting database credentials. It manages connection configurations through an SQLite database, supports databases such as PostgreSQL, MySQL, MongoDB, and Oracle, and provides integration tools with AI agents such as Gemini and Claude.

Medusa's MCP server for integrating AI and automation tools

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

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including the OAuth login function, and supports connection and use through the MCP inspector and Claude desktop client.

A customized version of NextChat that creates and deploys MCP servers through chat interactions, integrates LLM models from OpenRouter, and provides functions such as tool extraction, one-click deployment, and AI system integration guides.

The Ceph MCP Server is a bridge connecting the AI assistant and the Ceph storage cluster, enabling storage management through natural language and providing functions such as health monitoring, host management, detailed analysis, and secure communication.

The Xcode MCP server provides an interface service for LLM applications to directly build and test Xcode projects through the model context protocol

This project provides a comprehensive guide for implementing a Model Context Protocol (MCP) server for Cursor AI, including basic concepts, implementation steps, code examples, and integration requirements, aiming to enhance the AI's capabilities through custom tools.

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.

Fastly MCP is a tool that integrates Fastly API features into an AI assistant through the Model Context Protocol (MCP), allowing users to manage CDN services, caching, security configurations, etc. via AI while protecting the security of API keys.

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.

WebSearch-MCP is a server implementation based on the Model Context Protocol (MCP), providing real-time web search capabilities for AI assistants.

1scan is a blockchain explorer API gateway and MCP server that provides a unified interface to integrate multi - chain explorer APIs and supports AI assistants to directly query blockchain data through the MCP protocol.

An implementation of an MCP server integrated with Google Sheets that allows AI assistants to directly access and modify spreadsheet data, supporting natural language interaction with sheets via Claude.

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.

The Feishu Docs MCP Server supports accessing Feishu knowledge bases and cloud documents through the MCP protocol and can be integrated into AI applications.

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

Lilith Shell is an enhanced MCP server that allows AI assistants to execute commands in the terminal, providing security controls and testing capabilities. It should be used in a virtual machine or a resettable development environment due to security risks.

This project demonstrates how to use Spring Boot AI to build an MCP client, enabling interaction with external MCP servers and supporting dynamic tool calls and data retrieval.

An MCP server that enables Claude to seamlessly use OpenAI models

The MCP Calc Tools is a server that provides advanced mathematical and financial calculation tools, integrating standardized calculation interfaces for AI code assistants.

Google Calendar MCP Server is an integrated service that connects the Claude desktop assistant with Google Calendar, enabling the viewing, creation, update, and deletion of calendar events through natural language interaction.

An MCP server implementation for Deepseek R1, supporting integration with Claude Desktop and providing powerful language model inference services.

An MCP server that provides GDB debugging functionality for AI assistants