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"An introduction to GraphQL" matching MCP servers:

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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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    2
    16
    1
    MIT
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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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    14 atomic MCP tools for AppSec and AI Security engineers: source/schema/prompt audit primitives, JWT inspect, HTTP diff, pentest atoms (default creds, GraphQL introspect, phpggc, interactsh OOB), and a defensive helpers library that fixes the bugs the detectors flag. SARIF output, PyPI Trusted Publishing with Sigstore provenance.
    Last updated
    14
    MIT
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    Exposes a pentest toolbox (sqlmap, nuclei, ffuf, etc.) via Docker to an LLM orchestrator for authorized security audits, with strict whitelisting and timeout controls.
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    An MCP server that provides AI assistants with access to CrackMapExec/NetExec network penetration testing capabilities via SSH to a Kali Linux host, supporting multiple protocols for enumeration, credential dumping, and command execution.
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    11
    MIT
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    Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.
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    47
    MIT
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    A simple MCP server exposing persistent, scriptable Frida dynamic instrumentation to an AI agent for Windows reversing, malware/security analysis, and dynamic debugging.
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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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    MIT
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    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.
    Last updated
    9
    Apache 2.0