"Pro Tools" matching MCP servers:

Enables large language models to read and write IDA Pro databases through structured tool calls for reverse engineering, binary analysis, and hook development. Provides broker-based routing, SQLite-backed static caching, multi-instance analysis, and both cached and live IDA API queries.

Deterministic, local-first MCP server for IDA Pro and IDA Home, exposing 109 strict-schema operations for reverse engineering with policy-gated mutations, evidence tracking, and broad AI-client support.

Extends IDA Pro with multi-instance support and vulnerability scanning for AI-assisted reverse engineering.

Enables AI assistants to autonomously inspect and control IDA Pro via MCP, providing tools for decompilation, disassembly, cross-references, renaming, typing, patching, searching, debugging, and arbitrary IDAPython execution.

An enhanced MCP server for IDA Pro that integrates bulk binary export, multi-instance management via Broker mode, and 80+ analysis tools for AI-assisted reverse engineering.

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.

Integrates with Dradis Pro to manage projects, vulnerabilities, content blocks, and document properties through MCP-enabled tools.

Integrates ProjectDiscovery security tools to perform automated reconnaissance, subdomain discovery, and vulnerability scanning. It enables comprehensive bug hunting workflows by chaining tools like subfinder, naabu, and nuclei into a unified pipeline.

Enterprise-grade zero-dependency security shield and runtime governance engine for MCP servers, providing OWASP MCP Top 10 audits, cryptographic tool call signing, AIBOM generation, and inline parameter firewall protection.

Enables cybersecurity training, purple-team collaboration, and executive readiness through tools for scenario generation, attack simulation, telemetry analysis, incident investigation, forensics, and reporting with an immutable audit trail.

MCP server that connects WinDbg, IDA Pro, and x64dbg to AI assistants for reverse engineering and Windows security research, offering 160+ tools for debugging, analysis, and cross-debugger workflows.

Community MCP server for the Cymulate security validation platform. It exposes the full Cymulate REST API (337 endpoints) as 106 semantic tools for BAS, exposure validation, attack surface management, and platform administration.

Provides MCP clients like Claude with tools to query and manage security scans, CVEs, assets, findings, threat intel, and generate polished reports by acting as a lightweight adapter over the CVEasy backend API.

Provides on-machine security scanning for Copilot-generated code, including SAST, secrets, dependency, container, and configuration checks, plus AI-specific risk detection, with findings and fixes available via MCP tools.

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.

AI-Powered Red Team MCP Server enabling autonomous penetration testing via Model Context Protocol with 44+ security tools for AI agents.

Enables AI assistants to perform reconnaissance tasks using the reconFTW framework, supporting full, passive, subdomain, vulnerability, and OSINT scans through MCP tools.

Enables running Kali Linux security tools and commands in a containerized environment for semi-automated penetration testing, with background job management and out-of-band interaction detection.

Exposes the ASC APK-as-database analysis engine as MCP tools, enabling AI clients to run fast cross-reference searches, string/secret recon, class and member inspection, manifest and component extraction, and parallel batch queries across many APKs without full decompilation. All tools are stateless and process-isolated, so multiple clients can query single or multiple APK analysis sessions concurrently.

Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.

Enables AI-assisted penetration testing by connecting MCP clients to execute terminal commands on a Kali Linux machine, supporting tools like Nmap, Metasploit, and custom commands.

Enables MCP clients to drive IDA Pro through a stability-hardened server that hosts multiple headless idalib instances, with per-session isolation, configurable HTTP/stdio transports, and API-key authentication.

Config-driven MCP server that exposes Kali Linux penetration testing tools to AI agents, with automatic tool discovery, man page integration, and local/remote execution modes.

A cross-chain bridge security auditing toolkit that exposes tools for analyzing, fuzzing, and simulating bridge contracts via natural language, enabling users to detect vulnerabilities like centralization risks and replay attacks.

Gorgon Scout is a Windows web-application and API security scanner (DAST). This connector exposes it as MCP tools, so your AI assistant can record a target you are authorised to test, run the scan, stream findings, and produce a report. Capture needs no proxy or certificate setup, and it intercepts HTTP/1.1, HTTP/2, and HTTP/3 (QUIC). Works with the free Claude Desktop plan.

An nmap MCP server for AI-assisted network security auditing, providing 14 purpose-built tools with structured JSON output.

Exposes 18 typed tools that drive real static-analysis engines (Ghidra, apktool, WABT, TShark, evmole, Rizin) over a single MCP endpoint to decompile binaries, audit APKs, scan EVM contracts, inspect WebAssembly, firmware, SQLite, and pcap data. Every call returns signed, verifiable evidence with an evidence_id, provider identity, SHA-256 artifact digest, and explicit limitations for security research, malware analysis, forensics, and CTF work.

Enables authorized security testing by letting LLM clients run Kali Linux tools inside an isolated Docker container.

Enables AI-driven reverse engineering with x64dbg via 71+ MCP tools for breakpoints, memory, disassembly, tracing, debug control, PE analysis, and anti-anti-debugging, supporting HTTP, SSE, and stdio transports.