LLMready MCP server

• Registry nameapp.lovable.answer-engine-ready/llmreadyverified in the MCP registry

The registry name sits under answer-engine-ready.lovable.app. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

• Stateanswerschecked 2026-10-30
• Tools7
• Server calls itselfllmready
• Server version1.2.0
• Protocol version2025-06-18

On 2026-10-30 the server answered initialize and tools/list without a sign-in. First answer in 2062 ms.

• Its tools do every use case we checked: generate and validate an llms.txt file; score site content extractability and metadata.
• Checked on 3 of the 7 days it takes to judge reliability.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

• INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
• What an agent can do with it2 of 2 use cases
• Answeredmeasuring3 of the 7 daily checks it takes to print a share
• Median first answer1648 ms
• Space in an agent's context≈ 985 tokensthe definitions of all its tools (7), which an agent carries on every turn
• Tool definitionsA · 100 of 100
• Typed results0 of 7 toolsdeclared outputSchema: results come typed, read once

• Every tool passes all six checks.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

• quick_check

  Free, no sign-in, Pro or credits needed: 10 checks a minute and 100 a day per IP address (per account when signed in). Checks a public website live and returns its 0–100 AI search readiness score, grade, category scores, which AI crawlers…

• audit_url

  Crawl a public website live and score how well AI search engines (ChatGPT Search, Perplexity, Gemini, Claude) can access and read it: 0–100 score, grade, category scores, prioritized fixes and a shareable report link. Costs 1 credit…

• get_audit

  Fetch a saved audit from your LLMready account by id, including score, failing checks, AI crawler access and fixes. No credit cost. Requires signing in with LLMready Pro.

• list_audits

  List audits saved on your LLMready account, newest first, optionally for one domain. No credit cost. Requires signing in with LLMready Pro.

• generate_llms_txt

  Crawl a website's key pages and generate a spec-compliant /llms.txt plus an /llms-full.txt with page content as Markdown, ready to upload to the site root. Costs 1 credit. Requires signing in with LLMready Pro.

• validate_llms_txt

  Check llms.txt content against the llmstxt.org proposal and list errors and warnings by line. Pass `content` to check text, or `url` to fetch and check a site's live /llms.txt. No credit cost. Requires signing in with LLMready Pro.

• get_usage

  Show how many LLMready credits are used and left this month. No credit cost. Requires signing in with LLMready Pro.