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 Ubuntu MCP server based on a security - first model, providing controlled system operation access for AI assistants, including multi - layer security protection, audit logs, and resource limits.

CKB is a tool that transforms a codebase into a queryable knowledge base. It helps developers understand code, analyze impacts, find owners, and detect dead code via CLI, API, or AI assistants, improving development efficiency and security.

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.

An MCP server based on the Security Controls Framework (SCF), providing two-way mapping and search functions for 1,451 security control items across 262 compliance frameworks (including ISO 27001, NIST CSF, DORA, AI governance standards, etc.), enabling AI assistants to directly query and associate the requirements of different security standards.

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.

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.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

The Vulners MCP Server is a tool that provides access to the Vulners vulnerability database through the Model Context Protocol (MCP), supporting direct query of vulnerability information, CVE search, security bulletin analysis, and software package audit in AI assistants such as Claude Desktop.

The Apiiro Guardian Agent MCP server connects AI programming assistants with the Apiiro security analysis platform, providing real - time code security analysis, risk queries, scan triggering, and security management functions through the MCP protocol.

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.

Claude IPC MCP is an inter-process communication protocol designed for CLI AI assistants, supporting natural language communication between AIs, with functions such as message persistence, security authentication, and automatic checking, to achieve cross-platform AI collaboration.

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.

SharkMCP is a network packet capture and analysis MCP server based on Wireshark/tshark, providing AI assistants with the ability to conduct network security analysis, troubleshooting, and packet inspection. It supports asynchronous packet capture, PCAP file analysis, SSL/TLS decryption, and other functions.

Sonatype MCP Server is a protocol server that connects AI assistants to Sonatype's dependency management and security intelligence platform, providing developers with real-time insights into security vulnerability scanning, license compliance checking, and health analysis of open-source dependencies.

The ROADrecon MCP Server provides Azure AD data security analysis services for AI assistants

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.

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.

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.

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 Tenzir MCP Server is a service based on the Model Context Protocol, used to connect AI assistants with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF).

The Dynatrace Managed MCP server is an open-source project that allows AI assistants to interact with self-hosted Dynatrace Managed deployments through the Model Context Protocol (MCP), directly integrating observability data into AI-assisted workflows. It supports local and remote modes, can be configured for multiple environments, and provides the ability to query data such as problems, security, entities, SLOs, events, logs, and metrics.

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.

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.

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.

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.

AWS Security MCP is a service based on the model context protocol that allows AI assistants to independently check and analyze security issues in AWS infrastructure through natural language queries. It supports multiple AWS security services, including IAM, EC2, S3, etc., and provides security recommendations and threat modeling reports.

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.

AWS Security MCP is a server based on the MCP protocol that allows AI assistants to independently check and analyze security issues in your AWS infrastructure through natural language queries, supporting interaction and query of multiple AWS security services.

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.

The MCP NMAP Server is a protocol server that provides network scanning functions for AI assistants. Through a standardized interface, AI models can use NMAP for network analysis and security assessment.

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 is an implementation of a Kibana MCP server that allows AI assistants to interact with Kibana security features, including alert, rule, and exception management, through the Model Context Protocol (MCP).

Proton Drive MCP is a local server that allows AI assistants to interact with Proton Drive files through the MCP protocol, providing operations such as file reading and writing, directory management, etc. It supports cross - platform and ensures data security.

The ExploitDB MCP server is a model context protocol service that provides vulnerability database query functions. It is developed by Cyreslab.ai to enhance the capabilities of AI assistants in network security research.

AI Coding Assistant Security Scanner, scans code vulnerabilities, detects AI hallucination packages, and prevents prompt injection attacks through MCP or CLI, supports 12 languages and more than 1,700 security rules

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.