# AI integration

MCPez is a microservice command proxy management platform that unifies the management and standardizes the interfaces of backend services through a web interface, simplifying the integration of AI agents and tools.

The Specifai MCP Server is a model context protocol server used for integration and automation with AI tools that support the MCP protocol, providing a tool for reading documents generated by the Specifai project.

ProjectDocHelper is an MCP server tool used to automatically generate project documents and integrate them with AI development tools through the MCP protocol, improving the accuracy and relevance of AI responses.

The Crawl4AI MCP Server is a Python-based web crawler project that integrates Playwright browser automation, the DuckDuckGo search engine, and the MCP protocol SDK for intelligent web data collection.

MCP Serve is a powerful deep learning model server tool that supports deployment through Shell execution, Ngrok connection, or Docker containers, and integrates multiple advanced AI technologies.

The Keboola MCP Server is a Model Context Protocol server for interacting with Keboola Connection, providing tools to access Keboola storage API data and supporting use on platforms such as Claude Desktop and Cursor AI.

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.

The Apollo.io MCP Server is a model context protocol service implemented in TypeScript, providing seamless integration with the Apollo.io API, enabling AI assistants to access and manipulate Apollo.io's people, organization, and recruitment data.

An MCP server that enables interaction with the OneNote web version through browser automation, supporting AI assistants to programmatically operate shared notebooks.

Revit automation tool library

This project provides a Python - based MCP server for integrating OSV (open - source vulnerability) data with AI assistants or large - language models, and exposes tools and resources through the MCP protocol to enhance the workflows and capabilities of LLMs.

The MCP server for Azure Data Explorer provides a standardized interface for AI assistants to execute KQL queries and explore data. It supports database resource discovery, query execution, multiple authentication methods, and Docker containerization.

Supabase MCP Server is a tool that connects Supabase projects with AI assistants (such as Cursor, Claude, etc.), enabling AI assistants to directly manage database tables, query data, and perform other functions through the Model Context Protocol standard.

The Gumroad MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the Gumroad platform through the Gumroad API, including functions such as managing products, sales data, and promo codes.

Lilith Shell is an enhanced MCP server that allows AI assistants to execute terminal commands in a controlled environment, with security validation and output capture functions.

An MCP protocol server for allowing AI assistants (such as Claude) to access and interact with events and reminders in the macOS Calendar app.

An MCP server based on Twilio that allows AI assistants such as Claude to send SMS and MMS via Twilio, providing functions for secure credential management and preset message templates.

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.

A voice conversation server that connects Claude AI and ElevenLabs

This project demonstrates how to integrate MCP support of Spring AI in a Spring Boot application, including geocoding and time zone query services, and provides geographic location information through LLM interaction.

A JSON document storage service based on the Fireproof database, supporting CRUD operations and field sorting queries, used for the integration of the Model Context Protocol server and AI systems.

Metoro MCP Server is an open-source server based on the Model Context Protocol that allows users to interact with Kubernetes clusters through the Claude desktop application and provides the function of querying the observability data of the cluster.

A Node.js server that implements the Model Context Protocol (MCP) for the Directus CMS, allowing AI clients to interact with the Directus API via the MCP protocol.

An MCP server that provides real-time Cointelegraph news, supporting multi-category RSS subscriptions, article summary conversion, and caching functions, and can be integrated with Claude Desktop.

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.

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

AI and MongoDB integrated MCP server project based on Spring Boot

The Razorpay MCP Server is a middleware connecting the Razorpay payment gateway and AI assistants. Through the standardized Model Context Protocol, AI assistants can directly access Razorpay account data.

WebSearch-MCP is a service that implements the Model Context Protocol (MCP). It provides web search capabilities by integrating the WebSearch Crawler API and supports multiple AI clients to obtain web information in real-time.