"Non-Docker Implementation of Jira with MCP" matching MCP servers:

Enables network scanning, binary analysis, string extraction, live packet capture, and isolated Docker command execution using Kali Linux tools such as Nmap, nm, objdump, strings, and tshark.

Enables MCP clients to invoke Kali Linux security utilities for network scanning, symbol and binary inspection, string extraction, live and pcap traffic analysis, and isolated command execution. It supports workflows such as Nmap scans, objdump disassembly, nm symbol listing, strings extraction, and tshark traffic inspection.

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 Ghidra headless binary analysis capabilities via the Model Context Protocol, enabling AI assistants to decompile, analyze, and emulate binaries with 32 tools and multi-binary support.

Enables remote execution of 150+ offensive-security tools through a streamable-HTTP MCP server, allowing MCP clients like Claude Code to drive the HexStrike toolset over the network.

Enables users to audit EVM, Solana, and Move smart contracts and assess Web3 security risks through tools for honeypot detection, SPL token risk, MEV sandwich exposure, address poisoning, HTTP 402 invoice fraud, UTXO consolidation planning, and cross-chain bridge quotes.

Enables AI agents to inspect and decompile software they have no source for — Android APKs, Electron bundles, .NET assemblies, and Go, Rust or WASM binaries — plus adb device interaction, through a token-guarded Streamable HTTP MCP endpoint, stdio MCP, or a CLI. Ghidra-powered native binary decompilation can be opted in at startup for ELF, PE and Mach-O targets.

Exposes AI-augmented network reconnaissance and evasion capabilities as callable FastMCP tools, enabling natural language orchestration of host discovery, service fingerprinting, CVE mapping, and attack chain synthesis.

Connects AI assistants to Solodit's 49,000+ blockchain vulnerability database, enabling search, browse, and lookup of audit findings directly from your AI workflow.

Captures formatted screenshots of Caido Replay request/response pairs by driving the Screenshot Mode plugin via Chrome DevTools Protocol.

Self-hosted MCP engine for private code reviews, providing deterministic static analysis and AST-level search over diffs, with findings passed to a review agent of your choice.

Enables dynamic instrumentation of processes by attaching Frida, loading JavaScript scripts, calling RPC methods, and retrieving script output through MCP.

Reduces thousands of security findings to the smallest set of high-impact remediation actions, with fail-closed safety gates, typed execution plans, and verification that refuses false all-cleans.

A scope-aware bug-bounty & reconnaissance MCP server that works out of the box on the Python standard library and augments itself with your favourite CLI tools when they're present.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

Enables dynamic management and execution of proxy chains on a remote Linux host via SSH, allowing AI assistants to route network traffic through proxies for privacy and security testing.

Enables AI assistants to run Kali Linux security tools in an isolated Docker container for tasks like network scanning, port checking, and service enumeration.

Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.

Enables security analysis of code and infrastructure files via MCP, using Symbiotic CLI for scanning vulnerabilities.

Chrome browser JS reverse engineering MCP tool for CTF/Web security, enabling dynamic analysis and restoration of login encryption logic.