AgentReady MCP

@agentreadyweb/mcp

Connect any MCP client to AgentReady — a hosted service that makes any website queryable by AI agents.

Claude Desktop

Add this to your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "agentready": {
      "command": "npx",
      "args": ["-y", "@agentreadyweb/mcp"]
    }
  }
}

Restart Claude Desktop. You'll have four tools available:

• list_sites — see all indexed websites
• submit_site — index any website so it can be queried
• ask_site — query any site by domain with cited, multi-page answers
• refresh_site — force a re-crawl of an already-indexed site

Cursor

Add to ~/.cursor/mcp.json:

{
  "agentready": {
    "command": "npx",
    "args": ["-y", "@agentreadyweb/mcp"]
  }
}

Windsurf / Zed / other clients

Any MCP client that supports stdio transport works the same way — use npx -y @agentreadyweb/mcp as the command.

WebMCP (no install)

If your client supports HTTP transport (Claude.ai, recent Claude Desktop, Cursor), connect directly by URL — no npm required:

https://www.agentready.it.com/api/mcp

Docusaurus plugin

If your docs site uses Docusaurus, auto-index on every build:

npm install @agentreadyweb/docusaurus-plugin

// docusaurus.config.js
plugins: [
  ['@agentreadyweb/docusaurus-plugin', { domain: 'docs.yoursite.com' }]
]

Available tools

list_sites

Lists all websites currently indexed by AgentReady with their titles and page counts. Use this to check if a domain is already available before submitting it.

submit_site

submit_site(url: string)

Index any website with AgentReady. Takes ~60 seconds. Handles static sites, server-rendered pages, and JavaScript-heavy SPAs via a four-layer pipeline. Once done, query it with ask_site.

Example: submit_site("https://docs.example.com")

ask_site

ask_site(domain: string, query: string, url?: string)

Ask a question about any website and get a cited answer grounded in its content. Synthesises information across multiple pages. If the site isn't indexed yet, AgentReady crawls and indexes it automatically before answering (~60s).

Example: ask_site("stripe.com", "What are the fees for card payments?")

refresh_site

refresh_site(domain: string)

Force a full re-crawl of an already-indexed site to pick up new or changed content. Takes ~60 seconds.

Example: refresh_site("docs.example.com")

Deploy webhook

Automatically re-index your docs on every deploy. No auth required — rate limited to once per hour per domain.

curl -X POST https://www.agentready.it.com/api/webhook/refresh \
  -H "Content-Type: application/json" \
  -d '{"domain": "docs.yoursite.com"}'

Or pass the domain as a query param (works with Vercel/Netlify form-encoded webhook payloads):

https://www.agentready.it.com/api/webhook/refresh?domain=docs.yoursite.com

How indexing works

AgentReady uses a layered approach to handle any public website:

1. llms.txt / llms-full.txt — if the site publishes one, it's used as a high-quality structured content source
2. Standard HTML crawl — fetches up to 10 pages via sitemap or link crawling, extracts clean text
3. __NEXT_DATA__ extraction — for Next.js apps, parses server-side rendered data embedded in the HTML
4. Jina Reader fallback — for JS-only SPAs that return empty HTML, uses a remote rendering service to extract content

Sites behind authentication or with no public HTML content cannot be indexed.

Environment variables

Variable	Default	Description
AGENTREADY_MCP_URL	https://www.agentready.it.com/api/mcp	Override the MCP endpoint (for self-hosted)