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Agentready MCP Server

@AshutoshRaj97

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

AshutoshRaj97

提交者

Ashutosh Raj

关于 Agentready MCP Server

Make any website queryable by AI agents — index any site, ask questions, get cited answers via RAG

Agentready MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Agentready MCP Server 工具

8

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 submitted.

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.

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 confirmation.

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. Takes ~60 seconds. Once indexed, ask_site queries are instant.

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 HTML, (3) citations linking back to the exact source pages, (4) faster results than fetching and reading individual pages one by one. For sites not yet indexed, ask_site auto-crawls and answers in ~60s — no separate submit_site call needed.

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 Use when ask_site returns outdated information or when you know the site has recently been updated.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_site returns fresh content.

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. Ideal for price comparison across multiple sites, feature matrix lookups, or any task where you need structured data rather than a natural-language synthesis.

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.

概览

What is Agentready Mcp?

Agentready Mcp is a server that makes any website queryable by AI agents. It indexes websites, allows asking questions, and returns cited answers via Retrieval-Augmented Generation (RAG).

How to use Agentready Mcp?

—

Key features of Agentready Mcp

  • Index any website for AI querying.
  • Answer questions with cited sources.
  • Uses RAG for retrieval-augmented generation.

Use cases of Agentready Mcp

  • AI agents extract information from websites.
  • Get cited answers from web content.
  • Enable RAG-based question answering on any site.

FAQ from Agentready Mcp

—

评论

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