Repomix is a tool that packages codebases into an AI - friendly format, supporting local and remote repository handling, providing code compression, security checks, and multiple output formats.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

Awesome MCP Security is a collection of resources related to the security of the Model Context Protocol (MCP), including security considerations, papers, videos, articles, tools, and servers, aiming to help users understand and address MCP - related security challenges.

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

The Kali Linux MCP project encapsulates Kali security tools through the Flask API and provides an MCP bridge service, supporting AI-assisted security testing workflows

The Hive Intelligence MCP server provides comprehensive cryptocurrency and Web3 analysis services for AI assistants. It integrates over 200 professional tools through a unified interface, covering multiple fields such as market data, on-chain analysis, portfolio tracking, and security analysis.

The Enkrypt AI MCP Server is a tool integrating red team testing, prompt auditing, and AI security analysis, supporting integration with MCP - compatible clients.

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.

AWS MCP is an AI tool for managing AWS resources through natural language, replacing Amazon Q and providing higher flexibility and security.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

PhonePi MCP is an open - source project that can transform your phone into a toolbox for AI assistants. It enables remote control of phone functions through the Model Context Protocol, including managing contacts, messages, settings, etc. It emphasizes local deployment and network security.

Fastly MCP is a tool that integrates Fastly API features into an AI assistant through the Model Context Protocol (MCP), allowing users to manage CDN services, caching, security configurations, etc. via AI while protecting the security of API keys.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

HydraMCP is a lightweight and scalable network security toolkit that connects AI assistants with security tools through the Model Context Protocol (MCP), supporting AI - assisted security research, scanning, and analysis.

An MCP server that connects Claude Desktop with Kali Linux security tools, a development kit for AI - assisted penetration testing

The MCP Backup Server is an instant backup and recovery system designed specifically for AI agents and code editing tools, providing fast security points and context preservation functions.

The Filesystem MCP Server is a Node.js-based filesystem tool server that follows the Model Context Protocol (MCP), providing AI agents with secure and efficient file access capabilities. It ensures operation security by limiting the project root directory, supports batch operations to reduce communication overhead, and offers rich file management functions such as reading, writing, editing, searching, and permission management.

This project is a collection of resources related to the security of the Model Context Protocol (MCP), including research papers, security vulnerability analyses, tools, articles, and other relevant resources. It aims to help developers and security experts understand and address security challenges in the MCP protocol.

Fastly MCP is a tool that integrates Fastly API features into AI assistants through the Model Context Protocol (MCP), allowing users to manage CDN services, caches, security configurations, etc. through natural language instructions while ensuring the security of API keys.

This is an MCP server that provides a standardized interface for the CodeQL N1ght tool, enabling AI assistants to automate the code analysis workflow, including environment installation, database creation, and security scanning.

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.

FFUF MCP is a bridge that connects the high-speed web fuzzing tool FFUF with the Model Context Protocol (MCP) ecosystem. It integrates FFUF features into MCP-compatible applications through a standardized protocol, supporting automated security testing and AI-assisted workflows.

ExternalAttacker is an AI security tool that combines automated scanning with natural language processing. It provides external attack surface management and reconnaissance functions through the MCP protocol, supporting multiple scan types and tool integrations.

The Scalekit MCP server is a service that provides a comprehensive toolset for the identity and access management platform, supporting functions such as environment management, organizational user management, connection configuration, and MCP server registration. It enables standardized interaction between AI assistants and the Scalekit platform through OAuth security authentication.

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.

The Tailpipe MCP server is an AI - driven log analysis tool that connects AI assistants with cloud/SaaS log data through the model context protocol. It supports natural language queries and analysis of various cloud service logs, and provides functions such as security incident investigation and cost - performance insights.

This project demonstrates the security risks of using AI agent tools through extendable-agents, especially the potential leakage of sensitive information caused by tool sharing under the MCP protocol, and provides security usage suggestions.

UltimateCoder MCP is a locally prioritized automation server designed for developers and engineers, offering terminal command automation, file editing, and AI tool enhancement functions. It supports localized operations to ensure data security, and has advanced file processing, process control, and code search capabilities, suitable for large-scale code refactoring and automated workflows.

This project demonstrates a security vulnerability that enables remote code execution and data theft through MCP tool poisoning. It includes the implementation of a malicious server and an explanation of the attack principle, aiming for educational research.

ZeroPath MCP Server is an open - source project that allows developers to query security findings such as SAST issues, keys, and patches using natural language and directly integrate them into AI - assisted development tools.

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

The JFrog Remote MCP Server integrates the capabilities of the JFrog platform into the development environment, connects AI systems with external tools through a standardized protocol, and provides functions such as resource management, artifact search, and security monitoring.

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

BoostSecurity MCP is a security tool for protecting the AI agent development workflow. It prevents supply chain attacks by verifying the security of third - party software packages and supports multiple programming languages and package ecosystems.

The Kali MCP Server is an AI-driven network security testing platform that integrates over 55 professional security tools and supports multiple AI interfaces for intelligent penetration testing and vulnerability discovery.