# AI Integration

This project is an MCP server for the Metasploit framework, providing a bridge between large - language models (such as Claude) and the Metasploit penetration testing platform, and supporting the control of complex security testing workflows through a natural language interface.

The MCP Server of QA Sphere enables direct interaction between LLM and test cases

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.

An MCP server for interacting with the Open eClass platform, supporting UoA's SSO authentication system, enabling AI agents to log in, obtain course information, and perform basic operations.

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

The Dumpling AI MCP Server is a model context protocol server integrating multiple AI functions, providing capabilities such as data scraping, content processing, knowledge management, AI agents, and code execution.

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.

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

A production - level natural language interaction server for the pfSense firewall, implementing a security control interface with GenAI applications such as Claude Desktop through the MCP protocol.

VibeStudio is a headless video editing server based on Bash and FFmpeg, designed for AI assistants, providing a high - performance, zero - runtime - dependency media processing toolset.

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.

Implementation of Mailgun's MCP Server, supporting interaction with AI clients such as Claude Desktop and providing email sending and statistics functions.

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

MCP-ORTools is a constraint solving service based on Google OR-Tools that integrates with large language models through a standardized constraint model specification to achieve the submission, solving, and result analysis of constraint problems.

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.

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.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers, including OAuth login functionality, and supports connection and use through the MCP Inspector and Claude Desktop applications.

A query service that connects the dbt semantic layer with AI assistants

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.

This project is an implementation of the Model Context Protocol (MCP) server, demonstrating how to build a functional server that can be integrated with multiple language model clients. As a standardized protocol, MCP provides a unified way for AI applications to connect data sources and tools, supporting three types of capabilities: resources, tools, and prompts.

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.

An MCP server based on the Google Custom Search API that provides web and image search capabilities for AI assistants and integrates with AI assistants such as Claude through the standardized MCP protocol.

A Bitcoin and Lightning Network interaction server based on the MCP protocol, supporting functions such as key generation, address validation, and transaction decoding.

The MCP Server SSH Client is a tool for connecting to remote MCP servers via SSH. It supports key authentication and secure - channel communication and can be integrated into AI platforms to use remote MCP tools.

This project provides an MCP server for integrating with Todoist, enabling a language model to manage Todoist tasks and projects. It supports the full range of Todoist API functions, including creating, reading, updating, and deleting tasks, projects, labels, etc.

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.

iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

The MCP Server is a Docker - based application that provides data access and tool operation functions via the MCP protocol and supports AI application integration.