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    Agent-native "safe to ship?" security gate for AI-generated code. Uses real parsers and inter-rocedural taint analysis (JS/TS, Python, Go) to flag the classes AI coding agents get wrong — secrets, SQL injection, SS, SSRF, path traversal, command injection, weak JWT/CORS — and ranks findings by confidence. Exposes a scan tool over MCP.
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    2 npm
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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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    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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    20 npm
    MIT
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    Enables AI coding agents to search a security corpus, scan Terraform plan JSON for cited findings, and list sources via MCP tools grounded in CIS AWS Foundations and OWASP Top 10 CI/CD risks.
    3
    Apache 2.0
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    MCP server that enables AI coding tools to scan projects for security vulnerabilities, secret leaks, and compliance issues, generating Korean-language audit reports.
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    PolyForm Noncommercial 1.0.0
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    Enables coding agents to perform network diagnostics and lookups, including subnet calculations, port and MAC vendor information, DNS and blocklist checks, TLS certificate inspection, and public IP discovery, all without needing an account or sending telemetry.
    11
    MIT
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    A local MCP server that scans repository dependencies for known vulnerabilities (CVEs) using OSV.dev, enriches findings with NVD and CISA KEV data, and supports triage, remediation, and accepted risk management directly from an AI coding assistant.
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    18 npm
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    MIT
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    A Model Context Protocol (MCP) server for Gobuster that enables AI assistants to perform directory/file, DNS, virtual host, S3 bucket, and TFTP enumeration on a remote Kali Linux host via SSH.
    10
    MIT
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    Security scanning for AI coding tools (Claude Code, Cursor, Windsurf) including secrets detection, MCP config vulnerabilities, agent instruction checks, threat modeling, prompt injection testing, pre-commit security checks, and dependency vulnerability scanning.
    7
    22 npm
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    MIT
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    Enables AI coding agents to run sub-millisecond, fully offline CVE lookups and audit dependency manifests such as requirements.txt and package.json against known vulnerable version ranges. It returns CVSS severity details and calculates the minimal safe upgrade version needed to eliminate matching vulnerabilities, without rate limits or API keys.
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    MIT
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    Enables MCP-compatible agents to audit an entire repository through one question, detecting stacks and running parallel checks for dead code, dependencies, security, CVEs, complexity, and lint across Laravel/PHP, Python, TypeScript/React, and Flutter/Dart. It returns normalized, severity-sorted findings with false positives flagged and secret values kept out of the output.
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    MIT
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    Security scanner for vibe coders that checks npm packages for known vulnerabilities before installation, integrating with AI coding tools like Claude Code and Cursor.
    1
    MIT