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    agent-ready-mcp

    Agent Ready Mcp

    by Mark Lavercombe

    Audit any website for AI agent-readability via native MCP tool calls.

    Updated Jun 2026
    0 installs

    Free

    Included in download

    • Downloadable skill package
    • Works with Claude Code, Cursor
    • 2 permissions declared
    • Instant install

    Sample input

    Install the agent-ready mcp server in my Claude Desktop config and scan https://example.com/docs to see if it's agent-ready.

    Sample output

    I've updated your Claude Desktop config with the Agent Ready MCP server.

    Scan Result for example.com: Score: 78/100 (Good) llms.txt: Missing (Check L1) Manifests: robots.txt found, but missing /ai-plugin.json (Check C2) Top Fix: Add an llms.txt to the root to provide structured context.

    Screenshots

    About This Skill

    What it does

    The Agent Ready MCP skill equips your AI agent with the tools to audit any website for AI readiness. It installs the official Model Context Protocol (MCP) server, allowing your agent to run deep scans, retrieve historical reports, and query the Agent Ready knowledge base directly through native tool calls.

    Why use this skill

    Modern AI agents struggle with websites designed only for humans. This skill automates the technical discovery required to make your site "agent-friendly." By integrating via MCP, your agent avoids manual HTTP wiring or curl commands and gains access to specialized prompts for interpreting scan results and generating remediation plans.

    Supported tools & workflows

    • scan_site: Validates 60+ agent-readability signals (llms.txt, manifests, etc.).
    • get_scan: Retrieves existing reports using a scan ID for historical comparison.
    • ask: A local RAG tool to query definitions for specific agent-readability checks.
    • Workflow Prompts: High-level wrappers for scanning, interpretation, and building prioritized fix-it docs.

    Professional output

    The skill produces structured summaries including an overall readability score (0–100), rating bands (e.g., "Excellent"), and a breakdown of failing technical checks with specific "How to Fix" instructions.

    Use Cases

    • Audit technical docs for LLM-compatibility and crawling issues.
    • Generate a prioritized fix-it list to improve your site's AI traffic.
    • Verify the presence and validity of llms.txt and AGENTS.md files.
    • Automate agent-readability checks during CI/CD or deployment workflows.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access

    Allowed Hosts

    github.com
    www.npmjs.com
    agent-ready.dev
    block.github.io

    File Scopes

    agent-ready-mcp/**

    Tags

    mcp-server
    web-scraping
    seo-for-ai
    automation
    web-audit
    Documentation

    Claude Code, Cursor, Cline, Continue, Goose, and any MCP-compliant host.

    Creator

    Mark Lavercombe

    Frequently Asked Questions

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