Connect io.github.AshutoshRaj97/agentready-mcp and your agent gets 8 tools, among them ask_site, get_site_capabilities, get_site_facts. It answers at https://www.agentready.it.com/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 19 October 2026, succeeded.
Query any docs site via MCP. Submit a URL, ask questions, get cited answers.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
ask_site | 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, N Inputs: domain, query, url |
get_site_capabilities | 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. Inputs: domain |
get_site_facts | 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 pr Inputs: domain, category |
list_sites | 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, f |
plan_site_action | 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, Inputs: domain, request |
rate_answer | 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. Inputs: domain, rating, request_id, comment |
refresh_site | 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 Use when ask_site returns outdated information or when you know the site has rece Inputs: domain |
submit_site | 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 → _ Inputs: url |
Every block below points at https://www.agentready.it.com/api/mcp. Pick your client and copy.
claude mcp add --transport http io-github-ashutoshraj97-agentrea https://www.agentready.it.com/api/mcp
{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://www.agentready.it.com/api/mcp"]
}
}
}{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"url": "https://www.agentready.it.com/api/mcp"
}
}
}{
"servers": {
"io-github-ashutoshraj97-agentrea": {
"type": "http",
"url": "https://www.agentready.it.com/api/mcp"
}
}
}{
"context_servers": {
"io-github-ashutoshraj97-agentrea": {
"url": "https://www.agentready.it.com/api/mcp"
}
}
}{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"serverUrl": "https://www.agentready.it.com/api/mcp"
}
}
}{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"url": "https://www.agentready.it.com/api/mcp"
}
}
}name: io.github.AshutoshRaj97/agentready-mcp
version: 0.0.1
schema: v1
mcpServers:
- name: io.github.AshutoshRaj97/agentready-mcp
type: streamable-http
url: https://www.agentready.it.com/api/mcp{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"httpUrl": "https://www.agentready.it.com/api/mcp"
}
}
}{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"type": "http",
"url": "https://www.agentready.it.com/api/mcp"
}
}
}{
"mcpServers": {
"io-github-ashutoshraj97-agentrea": {
"url": "https://www.agentready.it.com/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fwww.agentready.it.com%2Fapi%2Fmcp&type=streamable_http&id=io-github-ashutoshraj97-agentrea&name=io.github.AshutoshRaj97/agentready-mcp
It answered our last check on 19 October 2026 in 297 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
8, as returned by the server's own tools/list on 12 September 2026: ask_site, get_site_capabilities, get_site_facts, list_sites, plan_site_action, rate_answer, refresh_site, submit_site.
It answered our last check on 19 October 2026 in 297 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://www.agentready.it.com/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.ashutoshraj97. Endpoint host: www.agentready.it.com. ARD identifier: urn:air:io.github.ashutoshraj97:mcp:agentready-mcp.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.