Browser MCP is an MCP server + Chrome extension that enables browser automation through AI applications (such as VS Code, Claude, etc.). It features fast response, privacy protection, staying logged in, and avoiding detection.

The Perplexity MCP Server is an intelligent research assistant that uses Perplexity's AI model to provide automatic query complexity detection and optimal model routing functions, supporting three tools: search, reasoning, and in - depth research.

The Crawl4AI RAG MCP Server is an AI agent service integrating web crawler and RAG functions, supporting smart URL detection, recursive crawling, parallel processing, and vector search. It aims to provide powerful knowledge acquisition and retrieval capabilities for AI coding assistants.

A gravitational wave signal detection and optimization system based on the MCP protocol, focusing on the analysis of the GW150914 event and achieving efficient signal detection through AI intelligent exploration of the parameter space.

Frida MCP is an MCP protocol implementation based on the Frida dynamic detection toolkit, providing AI systems with the ability to interact with mobile and desktop applications.

AIM Guard MCP is an AI security protection server that provides security analysis, content detection, and protection instruction tools for AI agents to protect the security of MCP interactions.

GhidraMCP is a Ghidra plugin that enables AI - assisted binary analysis through the Model Context Protocol (MCP), connecting reverse engineering with AI assistants and providing functions such as natural language interaction, in - depth code analysis, and security vulnerability detection.

The Socket MCP server is a Model Context Protocol service for dependency security scanning, providing security scores and vulnerability detection functions for software package ecosystems such as npm and PyPI, supporting AI assistant integration and multiple deployment methods.

MCP Fortress is a comprehensive security tool designed for Model Context Protocol (MCP) servers, offering automated vulnerability scanning, runtime protection, risk scoring, and threat detection functions, and supporting integration with AI assistants such as Claude Code through the MCP server mode for security analysis.

falcon-mcp is a Model Context Protocol server that connects AI agents to the CrowdStrike Falcon platform, providing programmatic access to core security capabilities such as security detections, events, and behaviors, and supporting intelligent security analysis and automated workflows.

VkRunner is a Vulkan shader testing tool based on Piglit's shader_runner, aiming to support test scripts as similar as possible to Piglit's shader_test format. It supports writing shaders in GLSL or SPIR-V and provides a rich set of test commands to verify shader behavior, including drawing, computing, and probe detection functions.

An MCP server implementation based on the DuckDuckGo search engine, providing structured search, intelligent classification, and language detection functions, and supporting integration with AI clients.

MCP Server Semgrep is a server that complies with the Model Context Protocol standard, integrating the Semgrep static analysis tool with an AI assistant to provide code security analysis, quality improvement, and vulnerability detection functions. The project simplifies the architecture design, supports multi - platform operation, can be installed in multiple ways, and provides a rich set of code analysis functions.

A web accessibility detection MCP service based on axe-core that can integrate an AI assistant to automatically fix issues

An MCP server based on computer vision that automatically identifies the positions of image assets and extracts the layout structure by analyzing web page screenshots, supports the detection of multiple layout patterns such as radial and grid, and helps AI assistants accurately reconstruct web page layouts.

An AI architecture analysis server based on the MCP protocol, providing intelligent architecture decision analysis and ADR management functions for AI assistants, supporting code analysis, security detection, and deployment verification.

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.

VulniCheck is an AI - driven security scanner that provides comprehensive security analysis for Python projects and GitHub repositories. It runs as a Docker - based HTTP MCP server, supports standard HTTP streaming, and offers containerized deployment and comprehensive vulnerability scanning capabilities, including dependency checking, key detection, Docker file analysis, and AI risk assessment.

A Java source code vulnerability auditing tool based on function-level taint analysis. It provides security analysis capabilities for AI assistants through the MCP protocol, supporting the detection of multiple vulnerability types and call chain tracing.

This project is a Bluetooth device detection server based on the MCP protocol. It supports cross - platform scanning and identification of Bluetooth devices and provides an API interface for AI assistants to call.

The YOLO MCP Service is a powerful computer vision service that integrates with Claude AI through the Model Context Protocol (MCP), providing functions such as object detection, segmentation, classification, and real-time camera analysis.

Winston AI MCP Server is a multi - functional AI detection server that provides text/image AI generation detection, plagiarism detection, and text comparison functions, supporting various integration methods and API access.

The MCP Dual Cycle Reasoner is a metacognitive enhancement tool designed for autonomous AI agents. Through a dual-cycle framework (sentinel monitoring and arbiter management), it enables anomaly detection and experience learning to enhance the self-awareness and reliability of agents.

The AI-Cursor-Scraping-Assistant is a web scraper generation tool based on Cursor AI and the MCP protocol. It can quickly analyze website structures and automatically generate Scrapy or Camoufox scraper code. The project consists of two major components: Cursor rule sets and MCP tool sets. It supports scraping e-commerce PLP/PDP pages and has anti-bot detection and bypass capabilities.

An MCP server integrated with x402 payment, providing automated search and monitoring functions, supporting AI duplicate removal detection and automatic payment for task creation.

An AI vision analysis MCP server based on Google Gemini and Vertex AI, supporting multimodal analysis of images and videos, providing functions such as object detection and image comparison, and can be integrated into various MCP clients.

The GitHub MCP server provides AI-assisted tools such as code review, PR analysis, and security detection, and supports local and Docker deployment.

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization, helping users improve text quality.

The Universal Documentation MCP Server is a high - performance MCP server that can transform any documentation website into an AI - accessible knowledge base. It supports multiple platforms such as GitBook, Vercel Documentation, and Next.js sites, and has features such as instant startup, intelligent caching, and automatic domain name detection.

The MCP Probe Kit is a powerful development toolset that provides 23 practical tools, covering the entire process of code quality detection, development efficiency improvement, and project management. It is specifically designed for Cursor AI to help developers improve development efficiency and quality.

An MCP server project for XSS vulnerability testing, supporting functions such as detecting JavaScript execution through AI, analyzing HTTP responses and headers, and customizing HTTP requests.

A collection of AIOps MCP servers, including host detection function

Omen is an AI code analysis CLI tool that provides codebase context for AI assistants through multiple metrics such as complexity analysis, technical debt detection, dependency graph, and hotspot analysis, helping to predict defects and identify risks.

This is an MCP server implemented for the VictoriaMetrics anomaly detection tool vmanomaly, which allows AI assistants to directly interact with the vmanomaly REST API through the protocol, enabling functions such as health checks, model management, configuration generation, and documentation search.

The OpenCV MCP Server is a Python - based computer vision service that provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). It offers a full set of computer vision tools from basic image processing to advanced object detection for AI assistants and language models, including image processing, edge detection, face recognition, video analysis, and real - time object tracking.

Multilingual AI translation service based on the MCP protocol, supporting long text processing and automatic language detection

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

The AI Humanize MCP Server is a powerful model context protocol server that can optimize AI-generated content to be more natural and user-friendly. It has functions such as AI detection, natural language enhancement, grammar correction, and readability optimization to help users improve text quality.

A simple server project that interacts with AI models of OpenAI and Claude as a master control program (MCP), providing a unified API interface and automatic provider detection function.

MCP Appium is a service that integrates Appium into the Model Context Protocol, allowing AI agents to automatically control and test mobile devices, supporting automatic server startup, device detection, and flexible testing.