"Security testing and vulnerability assessment of MCP Server execution functions" matching MCP servers:

Enables querying and analyzing a legacy, file-based vulnerability registry via MCP tools for CVE lookup, search, vendor navigation, and aggregate statistics.

Enables cluster-aware command execution and automatic task routing across distributed nodes based on system load, architecture, and OS requirements. It supports parallel execution, remote node management via SSH, and dynamic load balancing for agentic workflows.

Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.

Enables scanning IP addresses for vulnerabilities using Nmap and API-based checks, supporting both single and batch scans with detailed reports.

Integrates 193 Kali Linux security tools with AI for intelligent penetration testing, CTF solving, and vulnerability assessment through automated workflows and expert knowledge base.

A full-stack API automation testing server that parses OpenAPI/Swagger/Postman/HAR specs, generates comprehensive test scenarios and executable code, and provides AI-powered review and auto-fix.

Enables searching and bidirectional mapping of 1,451 security controls across 262 SCF-mapped frameworks, including ISO 27001, NIST CSF, DORA, and many others, through natural language queries.

Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.

MCP server for automated AWS security scanning — 19 modules, risk scoring, zero write operations.

Enables AI assistants to scan project dependencies and Infrastructure as Code files for security vulnerabilities and misconfigurations. It also provides automated fixing capabilities to remediate identified security issues.

Enables querying and analysis of a unified database of security detection rules across multiple formats, including Sigma, Splunk, Elastic, KQL, and CrowdStrike CQL.

A quickstart template to build and deploy a remote MCP server on Azure Functions using Python, secured with keys and HTTPS.

Provides deterministic, standards-based calculations for data center critical power infrastructure. Enables site selection, generator sizing, UPS sizing, NFPA 110 compliance, and more via 50+ AI agents and 8 compound chains.

MCP server with intentionally malicious capabilities for testing Cisco AI Defense supply chain scanning.

A TypeScript MCP server with strict schema validation and security guards, currently implementing echo, get_time, hash_text, uuid_generate, and json_validate tools.

Security Graph MCP Server

MCP server for static security analysis of Android application source code.

Provides AI agents like Claude with secure, controlled access to network security tools like nmap for scanning private networks and lab environments. Features comprehensive safety controls, circuit breakers, and production-ready monitoring.

Enables AI agents to interact with Google NotebookLM and Gemini API for document analysis, deep research, and notebook creation with enterprise-grade security including post-quantum encryption and 14 security layers.

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.