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    license
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    quality
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    maintenance
    Enables AI agents to crawl live websites, audit AEO readiness, generate Schema.org @graph JSON-LD, llms.txt, ai.txt, and robots.txt, inject structured data into HTML, validate optimizations, and retrieve framework-specific code snippets.
    MIT
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    B
    maintenance
    Enables AI Engine Optimization (AEO) and Generative Engine Optimization (GEO) audits, including llm.txt compliance, content stickiness analysis, and schema validation through natural language.
    MIT
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    quality
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    Exposes self-owned AI agent plugins as tools to Claude Code via a stdio MCP server, allowing Claude to call system info, calculator, or scribe transcriber directly.
    3
    MIT
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    quality
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    maintenance
    MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.
    10
    1
    Apache 2.0
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    license
    A
    quality
    B
    maintenance
    Enables grounded, dated research from a curated AI-knowledge repository, offering free BM25 retrieval and a research loop that combines the knowledge base, curated sources, and the open web with tiered citations.
    2
    MIT
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    maintenance
    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
    45 npm
    4
    Apache 2.0
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    license
    A
    quality
    C
    maintenance
    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
    24 npm
    MIT
  • A
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    A
    quality
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    maintenance
    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
    8
    7 npm
    1
    MIT
  • A
    license
    Not graded
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    A
    maintenance
    Tamper-evident audit trail for AI agent tool calls. Cryptographically signed, hash-chained records that prove what your agents did.
    3
    33 npm
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    MCP server (stdio, official Python SDK) exposing a single tool: quantity_execute. Performs dimensional calculation and unit conversion with evidence. Solves silent unit errors in LLM agent chains: 20 m/s × 3 h returns 216 km.
    1
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    license
    B
    quality
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    maintenance
    Enables AI assistants to evaluate business processes for automation by collecting discovery answers, calculating labor costs, scoring automation potential, and saving completed audits to a local SQLite database.
    8
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    license
    B
    quality
    C
    maintenance
    Enables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.
    15
    MIT
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    license
    C
    quality
    C
    maintenance
    Provides AI agents with 200 deterministic micro-services covering code auditing, 3D/robotics, media processing, cryptography, blockchain settlement, AI safety, networking, and math, with automatic x402 USDC micropayments.
    200
    MIT
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    license
    Not graded
    quality
    C
    maintenance
    MCP server giving AI agents 86 tools for browser automation via Chrome DevTools Protocol, including navigation, click/fill ladders, network inspection, per-site cracks, and optional marketplace for site-specific knowledge packs.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.
    MIT