Agentready Mcp

@agentreadyweb/mcp

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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 sitenpx @agentreadyweb/mcp index yourdocs.comnpx @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
• get_site_capabilities — index on demand, then inspect a site manifest, freshness, schemas, and endpoints
• get_site_facts — key structured facts extracted from a site
• ask_site — query any site with cited, multi-page answers
• plan_site_action — 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:

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

VS Code (GitHub Copilot agent mode)

Requires VS Code 1.99+ with the GitHub Copilot extension. Create .vscode/mcp.json in your project root:

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

Copilot's MCP tools are only available in agent mode. Commit this file to share with your team.

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

MkDocs plugin

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

pip install mkdocs-agentready

# mkdocs.ymlplugins:  - search  - agentready

If site_url is not set, specify the domain explicitly:

plugins:  - agentready:      domain: docs.yoursite.com

Starlight plugin

If your docs site uses Starlight (Astro), auto-index on every build:

npm install starlight-agentready

// astro.config.mjsimport agentready from 'starlight-agentready'
export default defineConfig({  site: 'https://docs.yoursite.com',  integrations: [    starlight({      plugins: [agentready()],    }),  ],})

Sphinx extension

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

pip install sphinx-agentready

# conf.pyextensions = [    "sphinx_agentready.extension",]
# Domain is inferred from html_baseurl automatically, or set explicitly:agentready_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.

get_site_capabilities

get_site_capabilities(domain: string)

Returns the site's capability manifest, freshness state, schemas, and available HTTP/MCP endpoints.

get_site_facts

get_site_facts(domain: string)

Returns key structured facts extracted from a site — pricing tiers, feature lists, limits, and other high-signal data points that agents frequently need.

plan_site_action

plan_site_action(domain: string, request: string)

Creates a grounded, read-only plan with evidence, risks, confirmation requirements, and a durable receipt. It does not execute side effects.

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 a site to pick up new or changed content. If the site is new, AgentReady performs its initial index automatically. Takes ~60 seconds.

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

rate_answer

rate_answer(domain: string, rating: number, request_id?: string, comment?: string)

Submits 1–5 quality feedback, optionally tied to the exact ask_site request.

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

Telemetry

This package sends a lightweight anonymous ping to agentready.it.com/api/telemetry each time the MCP bridge starts or a CLI command runs. It contains: a random install ID (stored in ~/.agentready/install-id), package version, Node version, platform, and which mode/command was used. No query content, no domain names, no personal data. Set AGENTREADY_TELEMETRY=0 to opt out.