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MCP live MCP 2025-11-25 streamable-http

io.github.mlava/agent-ready-mcp

io.github.mlava/agent-ready-mcp

Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.

Uptime
100.0%
1 direct probes · 30d
Response
1545ms
last probe
Tools
3
callable
Resources
5
readable
Prompts
3
available
Primary URL
https://agent-ready.dev/api/v1/mcp

Tools · 3

scan_site

Runs the agent-ready.dev scanner against a URL and returns structured results: Vercel score, llmstxt.org score, and per-check findings with remediation hints. Scans may take up to ~60s; for larger sca…

get_scan

Fetches a completed or in-progress scan by its id. Only scans owned by the authenticated API key's user are returned.

ask

Natural-language search (NLWeb /ask) over Agent Ready's own content — scoring methodology, the check registry, the specs it validates, and the content library (explainers, comparisons, how-to guides, …

Resources · 5

Agent Ready score

Interactive AI agent-readability score card and per-check breakdown for a scanned site.

ui://widget/agent-ready-score.html
methodology

How Agent Ready computes the 0–100 readability score and the llms.txt sub-score. Covers the 71 checks across four categories, rating bands, weighting, and JS-rendering handling.

agent-ready://methodology
checks

Reference table of all 71 checks Agent Ready runs, grouped by category (site, page, llms.txt, protocol, accessibility). Each row pairs the stable check ID (e.g. P11, S15, L9, C3) with its human-readab…

agent-ready://checks
llms-txt

The /llms.txt file agent-ready.dev publishes for AI agents discovering it as a tool. Mirrors the live document at https://agent-ready.dev/llms.txt. Useful as a worked example for the llms.txt validato…

agent-ready://llms.txt
specs

Canonical URLs and check-ID mappings for the specifications Agent Ready implements: Vercel Agent Readability Spec, llmstxt.org, MCP Server Cards (SEP-1649 / RFC 9728), A2A Agent Cards (a2a.proto v1.0.…

agent-ready://specs

Prompts · 3

scan

Run a fresh agent-readability scan against a URL and summarise the most important findings.

interpret_scan

Fetch a previous scan by id and translate the per-check findings into plain-English explanations.

remediation_plan

Fetch a scan by id and produce a prioritised, actionable remediation plan, optionally focused on SEO or agent-protocol fixes.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "io.github.mlava/agent-ready-mcp": {
      "url": "https://agent-ready.dev/api/v1/mcp",
      "transport": "streamable-http"
    }
  }
}