# io.github.AshutoshRaj97/agentready-mcp

- Registry name: `io.github.AshutoshRaj97/agentready-mcp` · version 1.3.1
- Categories (automatic, keyword rules): Scraping & browsing, Search & data, Build & deploy, Developer tools, Databases
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.AshutoshRaj97%2Fagentready-mcp
- Server page: https://mcpstation.net/s/io.github.AshutoshRaj97--agentready-mcp.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://www.agentready.it.com/api/mcp`

## Tools (as reported by the server, not verified)

- `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 grows as new sites are s
- `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 execution would require
- `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 headless browser. Take
- `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 returns empty or partial H
- `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. After completion, ask\_
- `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 critical comparisons. Id
- `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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html