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    GhostHunt is an MCP server that scans your development machine for API keys, tokens, and credentials hiding in places you forgot to check.
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    74
    MIT
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    Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.
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    MIT
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    Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.
    Last updated
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    MIT
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    Provides AI agents with 37 OSINT tools and 12 data sources to perform unified reconnaissance, domain analysis, and attack surface mapping. It enables agents to query, correlate, and reason across platforms like Shodan, VirusTotal, and Censys in parallel.
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    MIT
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    Enables out-of-band interaction testing by integrating ProjectDiscovery's interactsh service as an MCP server. Allows AI agents to create callback domains, send probes, and capture DNS/HTTP interactions for security testing and verification workflows.
    Last updated
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    MIT
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    A deliberately vulnerable MCP server for practicing exploitation of tool poisoning, command injection, and path traversal. Includes fixed versions and an agent demo to reproduce the issues in a controlled environment.
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    2
    MIT
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    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.
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    Apache 2.0
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    Automatically generates pocsuite3-compliant POC (Proof of Concept) code from vulnerability information, with built-in safety features to prevent harmful payloads and ensure secure security testing.
    Last updated
    3
    MIT
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    Audits MCP server configurations for security risks including capability inventory, SSRF, prompt injection, and drift detection. Works in read-only mode and can also be used as an MCP server to let AI agents audit their own attack surface.
    Last updated
    4
    MIT
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    Exposes common CTF and cybersecurity tools (crypto, forensics, malware analysis, steganography, reverse engineering, pwn, OSINT) so LLMs can help solve capture-the-flag challenges in a controlled lab environment.
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    Static security scanner for MCP server code, AI agent skills, and plugins. Detects 61 attack patterns across 4 severity levels — credential exfiltration, prompt injection, code execution, seed phrase harvesting, auth bypass, path traversal — with zero dependencies and 68+ real CVEs found in the wild.
    Last updated
    108
    5
    MIT