# 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

Votars MCP is a multi - language supported tool for integrating with the Votars AI platform, providing two interaction modes: SSE and Stdio, and supporting functions such as obtaining meeting records.

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.

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.

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 leverage advanced AI - driven web scraping capabilities.

The StarRocks MCP Server is a bridge connecting AI assistants with StarRocks databases, supporting direct SQL query execution and database exploration without complex configuration.

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.

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.

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

This project is a document processing server based on the Model Context Protocol (MCP) standard. By building a vector database and an MCP interface, it enables AI assistants to access external document resources and break through the knowledge limitations of large language models. The project includes two major components: a document processing pipeline and an MCP server. It supports multiple embedding models and file formats and can be applied to scenarios such as querying the latest technical documents and understanding private code libraries.

mcp-kubernetes-ro is a Kubernetes read-only server based on the Model Context Protocol (MCP), providing AI assistants with secure read-only access to clusters. It supports operations such as resource querying, log retrieval, and API discovery, and can use local kubeconfig configuration without installing the kubectl binary.

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.

The Osmosis Agent Toolkit is a collection of development tools for interacting with the Osmosis protocol, including core functions, AI SDK integration, and MCP server implementation.

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.

Obtain the user's geolocation through EdgeOne Pages Functions and integrate it with large models

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

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.

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.

An MCP server project implemented in TypeScript based on FastMCP, used to interact with Telegram via the MTProto protocol and provide tool support for AI models.

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.

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

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 experiment guides users on how to deploy the MCP server and integrate it into Microsoft Copilot Studio, connecting AI models with data sources through a standardized protocol to achieve real-time data access and joke generation functions.

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.

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.