"A guide to creating software project documentation" matching MCP servers:

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

Read-only MCP server for precise lookup, search, and versioned retrieval of OWASP testing guides (WSTG, MASTG, ISTG, AITG) with full provenance on every result.

Enables AI coding agents to audit websites for PHP runtime vulnerabilities, compile a live Zero-PHP Next.js App Router replacement preview from a WordPress/PHP site, and retrieve remediation guidance.

Enables AI agents to securely invoke only allowlisted, read-only tools on a local Kali Linux host over an encrypted network with OAuth2 authentication and least-privilege enforcement.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

Free deterministic security scan of a public git repository (GitHub, GitLab, Codeberg, Bitbucket): vulnerable dependencies via OSV.dev, secret patterns, and config lint, returned as structured JSON. Tools: scan_repository(url), audit_pricing(). Runs locally over stdio (python3 web/mcp_stdio.py or the Dockerfile) and is also hosted at https://project-feldspar.com/mcp. MIT licence, stdlib-only. Buil

Enables security analysts to carry structured investigation state across sessions by storing typed observations, hypotheses, tasks, evidence and versioned decisions in a local SQLite graph with full-text search. It also enforces authorized scope and request controls, redacted and content-hashed evidence, duplicate-test signatures and validation gates that leave findings in draft until reproducibly confirmed, then produces technical and executive reports for Antigravity, Codex and other stdio MCP clients.

Enables autonomous AI agents and penetration testers to conduct authorized security audits with persistent cross-session memory, zero-trust secret scrubbing, dynamic OWASP/ASVS checklists, and hallucination-free exploit PoC generation from captured traffic.

Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.

Enables searching and querying HackTricks pentesting documentation directly from Claude, with tools for quick lookup, grouped search results, page outlines, section extraction, and cheatsheet mode.

Publishes four flat, schema-light tools that let AI agents (including strict providers) search, describe, and invoke any of 139 reverse-engineering capabilities behind a persistent REA server. Enables file fingerprinting, inspection, and evidence-linked investigation of shipped software through plain-English requests, read-only by default.

Enables MCP clients to work with DefAudit, supporting project and scan listing, starting scans, retrieving results, and marking or unmarking false positives.

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.

Enables agents to inventory the Windows software installed on a machine and match it against current CVE sources (cvelistV5, CISA KEV, EPSS, NVD), turning the hits into a persistent to-do list prioritized by exploitation and severity. It also produces an AI effort assessment for each entry, either by sampling the client or by returning an evidence package the client writes back.

Enables AI assistants to perform deep security audits of Java/Spring projects by searching for dangerous sink methods across built-in vulnerability profiles, inventorying project structure and dependency versions, and assessing the real exploitability of vulnerable components by layer. Results are grouped and tagged by external exposure so audits stay focused without overloading context.

A security-focused server that integrates with Cursor IDE to provide real-time vulnerability detection, exploit generation, and security insights during software development.

Enables management of penetration testing reports and vulnerabilities through a REST API, supporting CVSS 3.1 scoring, HTML formatting, and secure JWT authentication for comprehensive security assessment documentation.

Enables integration with Beagle Security API for managing security testing projects, applications, domain verification, and automated penetration tests. Provides 18 tools for creating, monitoring, and retrieving results from security assessments.

Provides a Model Context Protocol server implementation that allows AI agents and other MCP clients to programmatically interact with DefectDojo, a vulnerability management tool, for managing findings, products, and engagements.

Enables security auditing, penetration testing, and compliance validation with tools like Semgrep, Trivy, Gitleaks, and OWASP ZAP. Features strict project boundary enforcement and supports OWASP, CIS, and NIST compliance frameworks.

Enables users to interact with AFL++ for fuzzing workflows, including creating workspaces, instrumenting targets, starting/stopping fuzzing jobs, and triaging findings.

Enables reverse engineering and binary analysis using Ghidra, YARA, Radare2, and other tools, plus backend development assistance like project analysis, security scanning, and scaffolding.

Enables LLMs to perform Active Directory penetration testing using tools like NetExec, Bloodhound, Nmap, Certipy, and John the Ripper. Automates vulnerability discovery, attack path analysis, and documentation generation for security assessments.

Integrates Snyk security scanning with MCP clients like Claude Code, enabling listing of projects, querying issues by severity, and filtering by project or scope.

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.

A Model Context Protocol (MCP) server for integrating with StackHawk's security scanning platform. Helps developers set up StackHawk, run security scans, and triage findings to fix vulnerabilities — all from within an LLM-powered IDE or chat.

Enables coding agents to run security scans on repositories through a local stdio bridge to a hosted endpoint. Includes browser-based OAuth sign-in and local token storage.

Provides security assessment methodology, tool documentation, and step-by-step workflows to guide AI agents through vulnerability scanning, static analysis, and penetration testing of applications and URLs.

Enables AI agents to perform pay-per-call security verification of wallets, tokens, contracts, dApps, agents, and more via a remote endpoint with no installation.

Enables MCP clients to carry out a compliant, non-destructive, auditable authorized security-testing workflow — project intake, scope reading, asset discovery, non-destructive verification, evidence collection, and report-draft generation with manual submission tracking — where every outbound action is gated by scope checks, one-time human confirmation tokens, rate limits, and append-only audit logging.

A TypeScript MCP server delivering a vendored 'dangerous skills' corpus and adversarial fixtures over MCP for security-research testing, supporting SEP-2640 skill delivery with archive-safety hardening.

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.

It enables AI agents to connect to a live Chrome browser for automation and authorized security testing, including session-aware tab control, network capture and replay, DOM inspection, screenshots, and background workflows.

Enables AI editors such as Cursor, Claude Code, Windsurf and VS Code to scan a project for common AI-introduced security mistakes — leaked keys, open Supabase/Firebase data, missing auth, unverified Stripe webhooks, SQL injection and more — and return findings with exact fix instructions. It also provides a guided prompt that walks an agent through fixing critical issues one by one and verifying each fix by re-scanning, without ever editing files or rotating keys itself.

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.

Enables a language model to inspect proxy history, run scoped scans and intruder jobs, and drive a proxied browser through Burp Suite for authorized security testing on test and staging environments. Scope, environment, mode, rate limits, refusals and secret redaction are enforced in gateway code with a tamper-evident audit log.

Read-only observation of a single live URL: parses static HTML to report security posture, forms, links, accessibility signals, and leaks, with described fixes. SSRF-gated and safe, never executes JavaScript.

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.

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.