io.github.AshutoshRaj97/agentready-mcp
Query any docs site via MCP. Submit a URL, ask questions, get cited answers.
Open source Repository Open in the app JSON README (API)
About
Query any docs site via MCP. Submit a URL, ask questions, get cited answers.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- ashutoshraj97
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.3.1
- Stars
- 2
- Forks
- 1
- Open pull requests
- 1
- Last push
- 2026-08-15T10:45:40Z
- Repository state
- ativo
- Language
- JavaScript
- Added
- 2026-08-29 03:01:42
- Updated
- 2026-08-29 03:01:42
- Origin id
io.github.AshutoshRaj97/agentready-mcp
README
# @agentreadyweb/mcp
[](https://smithery.ai/servers/ashudps2004/agentready)
[](https://www.npmjs.com/package/@agentreadyweb/mcp)
## What is AgentReady?
[AgentReady](https://www.agentready.it.com) 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 →](https://www.agentready.it.com/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:
```bash
# 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):
```bash
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:
```yaml
# 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:
```json
{
"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`:
```json
{
"agentready": {
"command": "npx",
"args": ["-y", "@agentreadyweb/mcp"]
}
}
```
## Project or terminal setup
```bash
npx @agentreadyweb/mcp
```
Or add the same `agentready` server to your client's project configuration to share it with your team:
```json
{
"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:
```json
{
"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:
```bash
npm install @agentreadyweb/docusaurus-plugin
```
```js
// docusaurus.config.js
plugins: [
['@agentreadyweb/docusaurus-plugin', { domain: 'docs.yoursite.com' }]
]
```
## MkDocs plugin
If your docs site uses MkDocs, auto-index on every build:
```bash
pip install mkdocs-agentready
```
```yaml
# mkdocs.yml
plugins:
- search
- agentready
```
If `site_url` is not set, specify the domain explicitly:
```yaml
plugins:
- agentready:
domain: docs.yoursite.com
```
## Starlight plugin
If your docs site uses Starlight (Astro), auto-index on every build:
```bash
npm install starlight-agentready
```
```js
// astro.config.mjs
import 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:
```bash
pip install sphinx-agentready
```
```python
# conf.py
extensions = [
"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.
```bash
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
| Variable | Default | Description |
|----------|---------|-------------|
| `AGENTREADY_MCP_URL` | `https://www.agentready.it.com/api/mcp` | Override the MCP endpoint (for self-hosted) |
| `AGENTREADY_TELEMETRY` | `1` | Set to `0` to disable anonymous usage telemetry |
## 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.