NestDaddy

Agentready Mcp

io.github.AshutoshRaj97/agentready-mcp · v1.3.1

Query any docs site via MCP. Submit a URL, ask questions, get cited answers.

Connect Remote server

Terminal
claude mcp add --transport http agentready-mcp https://www.agentready.it.com/api/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "agentready-mcp": {
      "url": "https://www.agentready.it.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "agentready-mcp": {
      "type": "http",
      "url": "https://www.agentready.it.com/api/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://www.agentready.it.com/api/mcp

Tools 8 found in our last check

  • list_sites

    List all websites currently indexed in AgentReady. Use this to check if a domain is already available before submitting it — indexed sites return instant cited answers via ask_site. The index covers developer tools, APIs, cloud platforms, frameworks, databases, and more, and gro…

  • get_site_capabilities

    Return the AgentReady capability manifest for a website. If the site is not indexed yet, AgentReady indexes it automatically before returning its freshness, read-only limits, schemas, and available MCP and HTTP endpoints.

  • plan_site_action

    Turn a natural-language request into a grounded, read-only AgentReady plan for a website. If the site is not indexed yet, AgentReady indexes it automatically first. This prototype never executes side effects; it identifies supported steps, sources, risks, and whether a future ex…

  • submit_site

    Index any website so it can be queried with ask_site. Use this when the site is not yet in list_sites. Handles JS-rendered pages (React, Next.js, Vue SPAs) that web_fetch cannot read — uses a four-layer pipeline: llms.txt → HTTP+cheerio → __NEXT_DATA__ extraction → Jina Reader h…

  • ask_site

    Query any website's documentation and get cited, multi-page answers in natural language. Use ask_site when you need: (1) answers that synthesize information across multiple pages of a site, (2) documentation from JS-rendered sites (React, Next.js, Vue SPAs) where web_fetch retur…

  • refresh_site

    Force a full re-crawl of a site to pick up new or changed content. If the site has never been indexed, AgentReady performs the initial indexing automatically. Use when ask_site returns outdated information or when you know the site has recently been updated. Takes ~60 seconds. A…

  • get_site_facts

    Return structured facts extracted from a website — pricing, limits, features, contact info, and more. Facts marked as "owner-verified" have been explicitly attested by the site owner and are guaranteed accurate ground truth; use these in preference to scraped RAG answers for cri…

  • rate_answer

    Rate the quality of a previous ask_site answer from 1 (not useful) to 5 (excellent). Pass the request_id returned in structuredContent when available so the rating can be tied to the exact answer.

Details

Endpointhttps://www.agentready.it.com/api/mcp (Streamable HTTP)
Package@agentreadyweb/[email protected] (NPM, stdio)
First published6 Aug 2026
Last updated6 Aug 2026
Registry nameio.github.AshutoshRaj97/agentready-mcp

More ai and media servers See all

Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.