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Agentready MCP server

online · 100% uptime
by AshutoshRaj97·io.github.AshutoshRaj97/agentready-mcp·v1.3.1·2 stars
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Query any docs site via MCP. Submit a URL, ask questions, get cited answers.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Growing

2 stars59 downloads/wk

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Agentready tools (8, 1 write)

write = sends, deletes, buys or posts
  • ask_siteFree

    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.

  • get_site_capabilitiesFree

    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.

  • get_site_factsFree

    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.

  • list_sitesFree

    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.

  • plan_site_actionFree

    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.

  • rate_answerFree

    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.

  • refresh_siteFree

    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.

  • submit_sitewrite actionFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

1 high
  • Code scan13 source files scanned25/25
  • Live reliabilityremote reachable in 1098ms20/20
  • Tool poisoning8 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
  • Maintenancelast push 40 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Agentready compares

Against every graded Productivity MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 60% of 1,299 Productivity servers
Tools
8
the typical Productivity server has 7
Tools that change things
13%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote Productivity server answers 100%
Response time
330 ms
faster than 43% of 655 Productivity servers
GitHub stars
2
more than 60% of 854 Productivity servers
Downloads a week
59
more than 44% of 427 Productivity servers with a package

What its tools let an agent do: 7 read · 1 change

Install Agentready in Claude Code, Cursor or VS Code

claude mcp add --transport http agentready-mcp https://www.agentready.it.com/api/mcp
Add to Cursor

What the publisher says

From the Agentready repository's README, as published. We do not edit it. Read it on GitHub

@agentreadyweb/mcp

What is AgentReady?

AgentReady is a hosted capability layer that makes any website discoverable and usable by agents through MCP.

Paste a URL → AgentReady crawls the site, generates a spec-compliant llms.txt, and hosts a live /ask RAG endpoint and MCP server. Any MCP-compatible agent client can then discover the site, ask natural-language questions, inspect capabilities, and create grounded read-only plans with citations.

The problem it solves: AI agents using web_fetch fetch one page at a time, get empty HTML from JavaScript SPAs (React, Next.js, Vue), and hallucinate when the answer spans multiple pages. AgentReady indexes the whole site, handles JS rendering, and retrieves across pages — so agents get the right answer instead of a confident wrong one.

What's already indexed: Browse the live AgentReady directory → or index any public site yourself.

Key properties:

  • Works on any public URL — static sites, React/Next.js SPAs, Docusaurus, GitBook, custom engines
  • No account required to index your first site
  • Shared index — one team member submits a site, everyone on the team can query it instantly
  • Handles JS-rendered pages that web_fetch returns empty for
  • Capability manifests expose freshness, schemas, endpoints, and read-only limits
  • Grounded plans return evidence, risks, confirmation requirements, and durable receipts

CLI

The same package doubles as a CLI — no install, no account:

# Agent-readiness report card (llms.txt, sitemap, robots, JS-rendering, index status)
npx @agentreadyweb/mcp grade yourdocs.com

# Ask any site a question, get a cited answer (auto-indexes new sites in ~60s)
npx @agentreadyweb/mcp ask stripe.com "what is the test card number?"

# Index or re-crawl a site
npx @agentreadyweb/mcp index yourdocs.com
npx @agentreadyweb/mcp refresh yourdocs.com

For CI, dashboards, or scripts, add --json to receive the raw report on stdout (progress remains on stderr):

npx @agentreadyweb/mcp grade yourdocs.com --json | jq '.grade, .score'

The command still exits 1 when the grade is below B.

grade exits non-zero below a B, so you can use it as a CI gate. refresh in your docs deploy pipeline keeps the index fresh automatically:

# GitHub Actions — after your docs deploy step
- run: npx @agentreadyweb/mcp refresh yourdocs.com

Connect any MCP-compatible client to AgentReady:

Local MCP bridge (stdio)

For clients that use an mcpServers configuration, add the AgentReady bridge:

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

Restart your client. You'll have eight tools available:

  • list_sites — see all indexed websites
  • getsitecapabilities — index on demand, then inspect a site manifest, freshness, schemas, and endpoints
  • getsitefacts — key structured facts extracted from a site
  • ask_site — query any site with cited, multi-page answers
  • plansiteaction — index on demand, then create a grounded, read-only plan and receipt
  • submit_site — index any website so it can be queried
  • refresh_site — re-crawl a site, or perform its initial index when it is new
  • rate_answer — submit quality feedback

Cursor

Add to ~/.cursor/mcp.json:

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

Project or terminal setup

npx @agentreadyweb/mcp

Or add the same agentready server to your client's project configuration to share it with your team:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Agentready: common questions

Is Agentready MCP server safe?
Mostly: it is graded B (83/100). Read the Agentready safety report
How do I install Agentready?
It runs remotely at www.agentready.it.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Agentready need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is Agentready maintained?
The last commit was 81 days ago (2026-08-15). The latest release is v1.3.1.
Is Agentready up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Agentready?
Servers from other publishers that do the same job: loci MCP server, artifact-site MCP server and Context7 MCP server.
How does Agentready compare with other Productivity MCP servers?
safety score 83/100 (higher than 60% of 1,299 Productivity servers); tools 8 (the typical Productivity server has 7); tools that change things 13% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Agentready

Same job from other publishers: the closest match first, then the best rated.

  • loci
    Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.
    A
  • artifact-site
    One place for every AI agent's pages and docs: versioned links to share, search and update.
    C
  • Context7
    Up-to-date docs for AI agents
    A
  • Svelte MCP
    The official Svelte MCP server providing docs and autofixing tools for Svelte development
    A
  • SvGrid
    Checks AI-written SvGrid code against the real API, plus version-pinned Svelte 5 grid docs.
    A