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    MCP server that exposes 31 OSINT checks from Lissy93/web-check as tools for website analysis, including SSL, DNS, headers, WHOIS, and security presets. Enables natural-language-driven web recon and health checks.
    8
    MIT
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    An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.
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    13 npm
    1
    MIT
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    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
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    MIT
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    Enables interaction with Picus Security's Breach & Attack Simulation API, allowing natural language queries for simulations, threat library searches, and agent management through MCP-compatible clients.
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    MIT
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    Enables AI assistants to perform authorized web security assessments through MCP tools and a guided review prompt, including passive and full scans, WAF detection, remediation fixes, report export, triage, scan comparison, and proof-of-control verification.
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    5
    MIT
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    Enables policy-first defensive security operations for MCP, providing repository and web-security analysis with controlled authorization, scoped execution, and auditability.
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    MIT
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    Unified MCP server integrating NIST and OWASP security frameworks with live vulnerability data, enabling security searches, compliance mapping, threat modeling, and checklist generation.
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    MIT
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    Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.
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    MIT
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    Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.
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    12 npm
    MIT
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    Enables LLMs to conduct passive attack-surface research by collecting public information, referencing saved reports, and verifying evidence through MCP tools.
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    MIT
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    Enables AI applications to invoke 58 popular Kali Linux security tools for network scanning, web exploitation, password attacks, reconnaissance, Metasploit, evasion, forensics, post-exploitation, and miscellaneous tasks through the Model Context Protocol.
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    4
    MIT
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    MCP server that enables LLMs to operate Acunetix/Invicti web vulnerability scanners through 15 tools, covering authentication, target management, scanning, vulnerability retrieval, and reporting via GraphQL and REST APIs.
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    4
    MIT
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    Enables deep security auditing of web applications directly from AI IDEs including Cursor and Claude Code. Scans URLs for vulnerabilities, returns security scores with SHIP/BLOCK verdicts, and provides specific fix prompts for remediation.
    3
    MIT
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    An MCP security toolkit that integrates Burp-style HTTP proxying, AI-driven vulnerability hunting, source code auditing, and reporting into AI coding agents, enabling authorized security testing of web applications and source code.
    24
    MIT
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    Enables AI agents to conduct authorized pentests and bug-bounty workflows with scope enforcement, audit logging, reconnaissance, safe vulnerability checks, payload/wordlist generation, and professional report generation.
    14
    MIT
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    A security testing tool that enables automated vulnerability detection including XSS and SQL injection, along with comprehensive browser interaction capabilities for web application penetration testing.
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    462 npm
    22
    MIT
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    Enables external agents to manage an ARTEX instance over its Web API via stdio, supporting authentication, route discovery and invocation, file transfers, SSE event reading, and optional isolated Chromium UI automation.
    10
    AGPL 3.0
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    Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.
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    44
    MIT
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    Enables AI agents to audit web headers and DOM code, API routes, and database queries for vulnerabilities such as XSS, BOLA/IDOR, and SQL/NoSQL injection, returning scored CWE findings. It also automatically synthesizes secure drop-in replacement code with unified git diffs for review.
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    Enables automated bug bounty reconnaissance such as subdomain enumeration, web fingerprinting, API endpoint extraction, port scanning, and vulnerability scanning with authorization controls inside Claude Code.
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    MIT