Koskamo

LLMready MCP

Official MCP server by LLMready enabling AI agents to audit websites for AI search readiness, generate and validate llms.txt files, and manage audits. It provides tools for quick checks, full audits, and llms.txt generation, with free access for basic functionality and Pro subscription for advanced features.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

LLMready MCP logo, by LLMreadyVendor evidenceStreamable HTTPNo sign-inEndpoint checked 2026-11-01Operated by LLMready
You need:Free quick check without a keyPro plan with hosted llms.txtAPI key auth on the Pro plan
MCP endpoint (Streamable HTTP)
https://answer-engine-ready.lovable.app/mcp
Vendor documentation

What you can do with it

  • Audit URLs for AI search readiness
  • Generate llms.txt files
  • Validate llms.txt content
  • List and retrieve audit reports

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: app.lovable.answer-engine-ready/llmready@1.0.0Project website

Protocol and capabilities

Server
llmready 1.2.0
MCP protocol
2025-06-18
Tools
7 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

LLMready audits how well websites can be read by AI search engines (ChatGPT Search, Perplexity, Gemini, Claude) and generates llms.txt files. Start with quick_check: it works without signing in and returns a site's 0–100 score, grade, category scores, AI crawler access and top 3 fixes without saving anything. It's limited to 10 checks a minute and 100 a day per IP address (per account when signed in). Every other tool needs the user to sign in with an LLMready Pro account; calling one without signing in returns a sign-in challenge (HTTP 401) that MCP clients use to start sign-in. With Pro: audit a site for every failing check, prioritized fixes and a shareable report link; generate or validate llms.txt files; list past audits and check remaining credits. Crawling tools cost 1 credit each from the monthly allowance; reads and validation are free. A score measures crawler access and readability — it never guarantees that an AI engine will cite the site, so don't promise that to users.

Tools

7 advertised

quick_check — Quick AI search readiness check (free)
Advertised by the server during the last successful anonymous check.
Advertised read-onlyOpen-world

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 robots.txt allows or blocks, whether llms.txt exists, and the top 3 fixes. Saves no report — audit_url (Pro) lists every failing check with a shareable report and badge.

quick_check input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1,
      "description": "Website URL or bare domain, e.g. https://example.com or example.com"
    }
  },
  "additionalProperties": false
}
quick_check annotations
{
  "readOnlyHint": true,
  "openWorldHint": true,
  "idempotentHint": true
}
audit_url — Audit a website for AI search readiness
Advertised by the server during the last successful anonymous check.
Open-world

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. Requires signing in with LLMready Pro.

audit_url input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1,
      "description": "Website URL or bare domain, e.g. https://example.com or example.com"
    }
  },
  "additionalProperties": false
}
audit_url annotations
{
  "readOnlyHint": false,
  "openWorldHint": true,
  "idempotentHint": false,
  "destructiveHint": false
}
get_audit — Get a saved audit
Advertised by the server during the last successful anonymous check.
Advertised read-only

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.

get_audit input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "id"
  ],
  "properties": {
    "id": {
      "type": "string",
      "format": "uuid",
      "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$",
      "description": "Audit id returned by audit_url or list_audits"
    }
  },
  "additionalProperties": false
}
get_audit annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true
}
list_audits — List your audits
Advertised by the server during the last successful anonymous check.
Advertised read-only

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

list_audits input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1,
      "description": "How many to return (default 20)"
    },
    "domain": {
      "type": "string",
      "maxLength": 253,
      "description": "Only audits for this domain, e.g. example.com"
    }
  },
  "additionalProperties": false
}
list_audits annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true
}
generate_llms_txt — Generate llms.txt and llms-full.txt
Advertised by the server during the last successful anonymous check.
Open-world

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.

generate_llms_txt input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1,
      "description": "Website URL or bare domain"
    }
  },
  "additionalProperties": false
}
generate_llms_txt annotations
{
  "readOnlyHint": false,
  "openWorldHint": true,
  "idempotentHint": false,
  "destructiveHint": false
}
validate_llms_txt — Validate an llms.txt file
Advertised by the server during the last successful anonymous check.
Advertised read-onlyOpen-world

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.

validate_llms_txt input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 2048,
      "minLength": 1,
      "description": "Site URL whose live /llms.txt should be fetched and validated"
    },
    "content": {
      "type": "string",
      "maxLength": 400000,
      "minLength": 1,
      "description": "Raw llms.txt content"
    }
  },
  "additionalProperties": false
}
validate_llms_txt annotations
{
  "readOnlyHint": true,
  "openWorldHint": true,
  "idempotentHint": true
}
get_usage — Check API credits
Advertised by the server during the last successful anonymous check.
Advertised read-only

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

get_usage input schema
{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {},
  "additionalProperties": false
}
get_usage annotations
{
  "readOnlyHint": true,
  "openWorldHint": false,
  "idempotentHint": true
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
742 ms
95th percentile latency
742 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 742 ms · metadata changed · 7 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http llmready-mcp https://answer-engine-ready.lovable.app/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add llmready-mcp --url https://answer-engine-ready.lovable.app/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable llmready-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "llmready-mcp": {
      "url": "https://answer-engine-ready.lovable.app/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "llmready-mcp": {
      "type": "streamableHttp",
      "url": "https://answer-engine-ready.lovable.app/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start llmready-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "llmready-mcp": {
      "type": "http",
      "url": "https://answer-engine-ready.lovable.app/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http llmready-mcp https://answer-engine-ready.lovable.app/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "llmready-mcp": {
      "url": "https://answer-engine-ready.lovable.app/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "llmready-mcp": {
      "serverUrl": "https://answer-engine-ready.lovable.app/mcp"
    }
  }
}

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