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    MCP security server for AI coding agents. 12 tools: pre-install guardian, vulnerability audit, supply-chain attack detection via static code analysis, and CycloneDX 1.6 SBOM generation. Zero runtime dependencies.
    14
    27 npm
    15
    Apache 2.0
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    Token-efficient skim-then-expand I/O for agentic models, enabling lossless reading of large files via skeletons and exact expansion with anchor IDs.
    6
    MIT
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    Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
    19
    43
    MIT
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    Analyzes GitHub Pull Request diffs for security vulnerabilities and data leaks, using a deterministic filter to skip trivial changes and an AI-powered analysis for logic changes.
    1
    MIT
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    Agentic code-quality CLI and stdio MCP server that runs real Python and JS/TS quality engines (Ruff, pytest, ESLint, Prettier, Vitest, etc.) for linting, testing, and reviewing code.
    79
    MIT
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    An AI Security Guardian MCP server that provides real-time vulnerability scanning, secrets detection, and secure coding enforcement for AI-generated code in modern web frameworks.
    MIT
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    Enables AI coding assistants to leverage Application Security Posture Management (ASPM) capabilities, allowing developers to write secure code, query security risks, trigger diff scans, and manage security findings directly from their AI assistant.
    4
    Apache 2.0
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    Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.
    Apache 2.0
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    Scans generated JavaScript/TypeScript code to detect AI-hallucinated or suspicious npm package imports before installation, providing a verdict of CLEAN, REVIEW, or BLOCK.
    62 npm
    MIT
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    Audits npm packages for supply-chain attacks (typosquatting, malicious install scripts, credential exfiltration) before installation, returning a SAFE/SUSPICIOUS/DANGEROUS verdict.
    MIT