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Penetration Testing

Tools and frameworks for security testing, vulnerability scanning, and penetration testing. Enables security professionals to identify and exploit security weaknesses in applications and networks.

MCP ServersBrowse all →

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    MCP server for AgentMinds collective intelligence platform, enabling AI agents to scan websites for security/SEO/performance issues, pull personalized recommendations, and share findings across the network.
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    MIT
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    Exposes PatrowlIntel vulnerability intelligence (CVEs, EPSS, CISA KEV, public exploits, trending attacks) via MCP tools like search_cves, get_cve, and list_trending_attacks.
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    MIT
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    Enables users to deterministically audit MCP servers for security issues across manifests, source, runtime responses, multi-call state, identity, and install scripts, and to run an inline gateway that gates tool calls and scans responses before returning them.
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    32 PyPI
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    Apache 2.0
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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.
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    MIT
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    Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.
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    The most comprehensive steganography analysis toolkit for AI agents, providing 60 tools across 7 categories for detecting and extracting hidden data from images, audio, text, and files, all running 100% offline.
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    MIT
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    A comprehensive security testing MCP server providing 51 tools for penetration testing, network forensics, memory analysis, and vulnerability assessment. It enables automated security audits and technical investigations across web applications, cloud environments, and network captures.
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    MIT
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    This local MCP server keeps vulnerability intelligence, research scope, scanner results, evidence receipts, Bugcrowd VRT assessments, and report drafts in one SQLite ledger. It is built for authorized defensive research and does not scan, exploit, or submit reports.
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    SkillTotal is a local stdio MCP server that lets an agent check a component before installing it. It statically analyzes MCP servers, agent skills, npm/PyPI packages and repos for supply-chain risks, dangerous capabilities (shell, filesystem, network, credentials), prompt-injection surfaces like tool poisoning, and exfiltration paths. Each finding cites file, line and snippet.
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    1,456 PyPI
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    Apache 2.0
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    Enables AI assistants to perform vulnerability scanning using Grype, supporting scans of directories, container images, and packages via the Model Context Protocol.
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    29 PyPI
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    Apache 2.0
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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.
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    Enables plain-English website security checks from an MCP client, offering tools to assess site findings, explain individual issues, and list all available security checks.
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    MIT
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    Open behavioral litmus for MCP servers — grades A–F across tool-output injection, egress, sensitive-data, and adversarial-input, with reproducible, content-addressed evidence. Tools: run_litmus, verify_attestation.
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    41 npm
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    Apache 2.0
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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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    10 npm
    MIT
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    Lets an AI assistant drive a self-hosted Sn1per install over local stdio, launching orchestrated scans and reading back structured findings, ports, subdomains and technologies. Enforces configured target scope, redacts secrets, and writes an audit log of every scan, cancel, delete and export request.
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    34 PyPI
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    Apache 2.0
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    Exposes an OSINT investigation toolkit to any MCP-compatible AI client, which can drive passive checks such as DNS, WHOIS/RDAP, breach, IP reputation, GitHub and news-geo lookups and chain findings across them. The server lists 20 tools by default (16 passive plus 4 graph and batch helpers) and 25 when active checks are explicitly allowed, running via uvx with no separate install.
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    Security checks for apps built with AI: Trivy and Opengrep findings explained in plain English, with a fix request for your coding agent. Hosted scan by default (only files Git would commit, never secret files) or fully local.
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    63 PyPI
    MIT

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