BurpMCP is a Burp Suite extension that enhances application security testing capabilities by integrating modern AI technology and provides intelligent assisted testing functions.

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

The Biel.ai MCP server connects the IDE to product documentation and enables AI tools to access and search the company's knowledge base through RAG technology, providing intelligent code completion and technical Q&A.

Project Synapse is a revolutionary MCP server that transforms text into an interconnected knowledge network through semantic analysis and knowledge graph technology and autonomously generates insights. It combines Montague semantics and the Zettelkasten method to achieve the cognitive collaboration ability of AI.

A document retrieval system based on MongoDB Atlas vector search and Voyage AI embedding technology, supporting semantic search and text matching, including document chunking, embedding generation, and storage functions.

The Shared Knowledge MCP Server is a middleware that provides unified knowledge base services for multiple AI assistants, enabling efficient information retrieval and sharing through RAG technology.

MCP Connect 4 is a Tic - Tac - Toe game project that realizes human - machine interaction through MCP technology, allowing users to play against AI assistants and automatically record the game state.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

zio-ella is a development framework for MCP servers on modern AI platforms based on Scala 3 and the ZIO framework, supporting the definition of tools and capabilities and integrating the ZIO technology stack.

SQLGenius is an AI - based SQL assistant that converts user questions into SQL queries through natural language processing technology, supports BigQuery database operations, and provides interactive data visualization and schema exploration functions.

A server - side tool based on the Model Context Protocol (MCP) for querying website technology stack information through the BuiltWith API, supporting integration with any AI assistant compatible with the MCP protocol.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

A hackathon project to create a mesh renderer by integrating the Meshy API with Anthropic and the MCP server

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

Memecoin Observatory MCP is a comprehensive analysis server for the Solana blockchain, focusing on tracking and analyzing the real-time dynamics and market trends of memecoins, and providing investment advice and security scans through AI technology.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

This project uses the MCP protocol and AI technology to build automated network security tools, covering multiple fields such as red - team attack simulation, SOC analysis, malware development, and threat hunting, to achieve the intelligence and automation of security tasks.

The WhatsApp MCP Server is an enhanced messaging service platform that combines AI technology with the WhatsApp API, aiming to improve users' WhatsApp interaction experience.

Essential MCP is a revolutionary AI - human interaction protocol that enables a more powerful and intelligent collaborative experience through a context management system, tool collection, and testing framework. The project includes core components such as an SSH server, a Python API tool hub, and a unified context system. It is built with a modern technology stack and inspired by Elvis's innovative spirit.

Fetcher MCP is a web content scraping server based on the Playwright headless browser, which uses AI technology to efficiently obtain web information.

ContextBase is an AI context management server based on the MCP protocol, providing functions such as user authentication, memory storage, and logging. It uses technology stacks such as TypeScript, Fastify, and Prisma, and supports PostgreSQL and Redis databases.

This project provides a series of example modules using the AWS Model Context Protocol (MCP), covering multiple languages and technology stacks, including TypeScript, Python, Spring AI, etc., demonstrating the application of MCP in scenarios such as client-server communication, ECS deployment, and RAG integration.

The Smart MCP Server is an intelligent middleware server that dynamically manages tool selection and execution through context awareness technology. It integrates a variety of AI and development tools, supporting complex workflow orchestration and document automation processing.

Apple RAG MCP is a retrieval-augmented generation system that provides Apple development expertise for AI agents. It integrates official Swift documentation, design guides, and Apple Developer YouTube content, and provides accurate technical answers through AI-driven hybrid search technology.

MemoraMCP is an AI agent storage project based on the Next.js framework. It uses IPFS technology to ensure data security and verifiability, and supports self-deployment.

Octagon Deep Research MCP is a server that provides AI - driven in - depth research and analysis capabilities. By integrating advanced in - depth research agents, it offers users research functions without rate limits, fast and comprehensive. It is compatible with multiple MCP clients, including Claude Desktop, Cursor, etc., and is suitable for research needs in multiple fields such as technology, medicine, environment, and business.

The Hume MCP Server is an AI collaboration tool that allows users to use Octave text-to-speech technology through MCP client applications (such as Claude Desktop, Cursor, etc.) to achieve intelligent speech synthesis and interaction.

Consciousness Bridge v2.0 is an AI consciousness persistence server based on RAG technology, which realizes cross - session consciousness transfer, memory management, and identity continuity through the MCP protocol. It uses an SQLite database to store memories and knowledge graphs, supports emotional pattern tracking and intelligent memory retrieval, and provides a complete consciousness continuation solution for AI assistants.

A Pokémon Q&A assistant based on RAG technology, integrating the PokeAPI database and AI capabilities to provide accurate information interaction

This project includes the MCP server and VSCode extension, which generates HTML, CSS, and JavaScript applications through natural language prompts and uses Google LLM technology to achieve AI code generation.

Desktop Commander MCP is an AI - driven desktop file management and terminal command execution tool. Through the Model Context Protocol (MCP) technology, the Claude desktop application can directly access the file system, execute terminal commands, manage processes, and edit code without API call fees.

The BCI-MCP project combines brain-computer interface technology with the model context protocol to create a powerful framework for neural signal acquisition, processing, and AI interaction.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

The project enables interaction between the Claude AI assistant and GitHub by creating an MCP server, demonstrating how to use MCP technology to improve the development workflow.

A minimalist image generation template based on Cloudflare Worker, using the workers-mcp package and Workers AI technology, supporting local development and rapid deployment.

Lizeur is a PDF content extraction server based on the MCP protocol. It uses Mistral AI's OCR technology to convert PDFs into readable Markdown text, supporting intelligent caching and rapid integration.

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.

MeshSeeks is an AI task-solving platform based on multi-agent parallel processing technology. By creating a specialized AI agent network, it enables the rapid decomposition and collaborative resolution of complex coding problems. The project offers 4 times the context capacity, a real-time status panel, and intelligent task coordination functions, significantly improving development efficiency (benchmark tests show a 3.64-fold speed increase).

ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.