Agentready Mcp

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

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

# 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

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

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

{ "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

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

Or add the sameagentreadyserver to your client's project configuration to share it with your team:

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

Requires VS Code 1.99+ with the GitHub Copilot extension. Create.vscode/mcp.jsonin 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.

Any MCP client that supports stdio transport works the same way — usenpx -y @agentreadyweb/mcpas the command.

If your client supports HTTP transport, connect directly by URL — no npm required:

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' }] ]

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

# mkdocs.yml plugins: - search - agentready

Ifsite_urlis not set, specify the domain explicitly:

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

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

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

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

# conf.py extensions = [ "sphinx_agentready.extension", ] # Domain is inferred from html_baseurl automatically, or set explicitly: agentready_domain = "docs.yoursite.com"

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.

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

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(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.

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 withask_site.

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

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?")

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

Submits 1–5 quality feedback, optionally tied to the exactask_siterequest.

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

AgentReady uses a layered approach to handle any public website:
- llms.txt / llms-full.txt— if the site publishes one, it's used as a high-quality structured content source
- Standard HTML crawl— fetches up to 10 pages via sitemap or link crawling, extracts clean text
- __NEXT_DATA__extraction— for Next.js apps, parses server-side rendered data embedded in the HTML
- 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.

This package sends a lightweight anonymous ping toagentready.it.com/api/telemetryeach 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. SetAGENTREADY_TELEMETRY=0to opt out.

Search global news using natural language. Webz.io News Search API returns the most relevant articles and content, with filters for source, country, language, date, sentiment, and category.

Creates a personal, always-current knowledge base for AI by indexing documentation from websites, GitHub, npm, PyPI, and local files.

Performs a local RAG search on your query using live web search for context extraction.

Fetch, convert, and search AWS documentation pages, with recommendations for related content.

Search campgrounds around the world on campertunity, check availability, and provide booking links.

The Ferryhopper MCP Server exposes ferry routes, schedules and booking redirects so an AI assistant can discover connections across Europe and the Mediterranean and send users to Ferryhopper to complete bookings.

All-in-One SEO & Web Intelligence Toolkit API from FetchSERP.

MCP server that provides read-only access to HyperKitty, the web-based email archive component of Mailman 3.

At Sunrise Apps, we believe AI agents should be limitless, especially when it comes to visual data. We created ImageSorcery to bridge the critical gap in AI's ability to interact with and manipulate images directly, all while upholding the highest standards of privacy and security.

RAG Search over your content powered by Inkeep

Just Domain is the domain registrar for businesses built with AI. Its remote MCP server checks availability and returns first-year and renewal pricing, plus a link to register on justdomain.ai, with DNS and WHOIS privacy in the same place. No account, no API key, read only. Endpoint: https://mcp.justdomain.ai/