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.

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.

Corbat MCP is an AI coding standards server that injects team coding specifications before the AI generates code through the MCP protocol, ensuring that the generated code meets production standards, security requirements, and passes the code review. It supports multiple programming languages and development tools.

Pincer-MCP is a security-hardened MCP gateway that protects the API keys of AI agents through a proxy token architecture, ensuring that agents can only use proxy tokens and cannot access real keys. It supports various AI services and GPG signing tools.

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.

An MCP server that can automatically convert the project's npm scripts into tools that can be called by the AI assistant. It supports npm, pnpm, yarn, and bun, and provides security configuration and automatic detection functions.

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.

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 MCP server implementation of Foxit PDF API, providing Python and TypeScript versions, exposes more than 35 operations (such as creation, conversion, editing, security, OCR, etc.) of Foxit PDF services as tools available to AI agents.

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 Zebbern Kali MCP server is a comprehensive penetration testing platform based on the Model Context Protocol (MCP), providing 139 functions for AI assistants (such as GitHub Copilot) to directly execute security tools on the Kali Linux system through a standardized API, covering network reconnaissance, web application testing, password cracking, vulnerability exploitation, and Active Directory attacks.

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.

This is an MCP server designed for Atomic CRM that allows AI assistants to securely read and write data from CRM instances through secure OAuth 2.1 authentication and SQL query tools, and automatically enforces row-level security policies.

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.

SQLite MCP Server is an enterprise-level SQLite database enhancement tool that provides 73 dedicated tools, supporting advanced analysis, JSON operations, text processing, vector search, geospatial operations, and intelligent workflow automation. It has AI-native JSON operations and enhanced security.

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.

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

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.

This is a Model Context Protocol server developed for the Sitecore content management system, providing various tools such as GraphQL API, item service API, PowerShell script execution, security management, and index management. It supports integration with AI assistants through the MCP protocol for Sitecore content management operations.

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.

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.

An MCP server that connects AI assistants and Pro Tools through the PTSL gRPC API, providing functions such as session management, timeline navigation, and audio analysis, with fine - grained permission control and security protection mechanisms.

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.

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.

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.

MCP Tools is a module that provides AI assistant tools for Drupal sites. It includes 223 tools, supports read - write operations, resource access, and prompt functions. It is mainly used for local development and prototyping, with a modular architecture and a three - layer access control security mechanism.

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 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 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.

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

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

This is a curated list of resources for the Model Context Protocol (MCP) ecosystem, covering multiple categories such as official resources, development tools, MCP servers, web integrations, databases, blockchains, AI integrations, voice, mobile applications, development environments, security testing, productivity tools, and system tools.

LangCare MCP FHIR Server is an enterprise - level MCP server designed for FHIR R4 electronic medical record systems, enabling AI assistants to securely access and manage patient health records. It provides four general FHIR operation tools, has over 40 built - in clinical workflow guidelines and interactive UI applications, supports multiple back - ends such as EPIC, Cerner, and GCP, is written in Go language, and has enterprise - level security and HIPAA compliance.

The SnapBack MCP server is a service that provides code security analysis and snapshot management for AI tools via the model context protocol. It supports offline basic analysis and cloud-based advanced functions.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

The MCP penetration testing framework is an intelligent automated security assessment tool that integrates multiple security tools to achieve reconnaissance, vulnerability scanning, and controllable exploitation. It supports AI - driven intelligent workflows and report generation.