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    An MCP server that gives AI agents tools to inspect a website's visibility to AI answer engines, including crawler permissions, llms.txt, structured data, on-page signals, and a full 29-check AI-readiness audit.
    5
    54
    MIT
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    Enables users to scan any website for AI search visibility, producing AEO, GEO, agent readiness, and mention-readiness scores along with AI identity and business profile insights. Paid tools extend this to competitive comparisons, detailed audits, and generated fixes.
    4
    1
    MIT
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    attendance-engine-mcp is a Model Context Protocol server that gives AI agents deterministic, fixture-backed tools for workforce attendance and wage-and-hour compliance. Built on @attendance-engine/core — a pure-function, zero-deps, 100%-covered TypeScript engine — it lets Claude, Cursor, Windsurf, or any MCP host correctly answer the questions HR/payroll teams actually ask: did this person clock i
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    MIT
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    Security scanner for MCP servers. Detects prompt injection, command injection, auth bypass, and excessive permissions across tools, resources, and prompts.
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    MIT
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    Evaluates any website's AI visibility with 15 checks across crawlability, structure, content, and connectivity, and provides actionable fixes.
    10
    MIT
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    Merges your Google Search Console data with a live crawl of your site to run a comprehensive technical SEO audit inside Claude, providing prioritized findings and paste-ready fixes.
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    Apache 2.0
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    Enables scanning of code and URLs for security vulnerabilities (hardcoded secrets, missing headers, etc.) via Claude Code, integrating with the vibe-audit security scanner.
    13
    MIT
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    MCP server for Tree-of-Thoughts search engine enabling deliberate problem solving with LLM agents via BFS, DFS, and beam search policies.
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    Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.
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    A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.
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    Tamper-evident audit logging for AI decisions. Three tools (record_decision, verify_decision, list_decisions) write to a regulator-grade ledger built on AWS S3 Object Lock with 7-year retention. Designed for EU AI Act Article 12 and FCA SS1/23 evidence requirements. Try zero-config: npx audit-ledger-mcp boots in sandbox mode against a public hosted tenant.
    3
    66
    1
    Apache 2.0
  • A
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    quality
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    Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.
    22
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    4
    Apache 2.0
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    quality
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    Audits Make.com scenario blueprints before import, checking for hardcoded secrets, dangling references, plain-HTTP URLs, and other issues. Provides tools to inspect blueprint structure, trace module mappings, and generate a safety findings report.
    3
    52
    MIT
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    quality
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    Audits Excel workbooks by tracing cell dependencies and detecting circular references, volatile functions, and other formula risks, enabling natural-language audit queries on local files.
    4
    45
    MIT