"A tool or platform for assisting in AI development" matching MCP servers:

Two-way Burp Suite MCP bridge enabling AI agents to capture traffic, analyze endpoints, queue scans, and send findings back to Burp.

Wraps multiple bug bounty platform APIs (HackerOne, Bugcrowd, etc.) behind a uniform MCP tool surface, enabling LLM agents to query programs, scope, and briefs across platforms through a single interface.

Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.

MCP server that detects and guards against tool poisoning and prompt injection attacks in tool descriptions and schemas. It provides risk scoring, pattern detection, safe rewriting, and audit reports with zero external API cost.

MCP server for AI-driven VAPT orchestration, enabling agents to plan and execute authorized security scans through a control plane that enforces scope, sanitization, budget, rate limits, human approval, and audit logging.

An authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

Enables AI agents to plan and run authorized offensive security assessments across 150+ integrated tools, with full activity logging of every scan.

Autonomous pentests from one command: real security tools, working PoCs, and audit-ready reports, all driven via MCP.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Enables natural-language-driven security testing by orchestrating multiple pen-testing tools through MCP, with automated scan execution and AI-assisted vulnerability summarization.

GDB Enhanced Features MCP server for remote debugging and CTF exploitation with 41 specialized tools including ROP search, format-string detection, and memory patching.

Enables AI assistants to search and analyze vulnerabilities and exploits from multiple intelligence sources, including NVD, CISA KEV, ExploitDB, Metasploit, and more, with tools for CVE research, exploit analysis, and report generation.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables AI assistants and agents to search bug bounty programs, retrieve policies and scopes, and check targets against active scope across HackerOne, YesWeHack, and Intigriti using personal API credentials.

Enables structured robustness and security testing by scanning text for policy/safety issues and generating test suite outlines.

Security Scanner AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Cyber Host Artificial Intelligence (C.H.A.I) An autonomous penetration testing MCP (Model Context Protocol) server with an integrated AI decision engine, multi-provider LLM support, and an extensible plugin architecture.

Enables AI assistants and security analysts to inspect PCAP/PCAPNG captures through MCP tools or REST endpoints, reassembling TCP/UDP streams, extracting payload artifacts, detecting CTF flags, credential leaks and network anomalies, and generating formal PDF or Markdown forensic reports. Every finding is bound to exact frame numbers, timestamps and endpoints with SHA-256 deduplicated evidence provenance.