---
title: "About Agent Ready: mission, what it is & contact"
description: What Agent Ready is, why agent readability matters, and how to reach the team — general, abuse, and privacy contacts, source, status, and the public /ask endpoint.
last_updated: 2026-06-09
canonical_url: https://agent-ready.dev/about
---

# About Agent Ready

> What Agent Ready is, why agent readability matters, and how to reach the team — general, abuse, and privacy contacts, source, status, and the public /ask endpoint.

## Why agent readability matters

The web was built for people to read. Increasingly, it is also read by AI agents — assistants and autonomous systems that discover, parse, and act on a site rather than render it for a human to look at. Agent readability is the machine-facing counterpart to human accessibility: how reliably an agent can find your content, understand it, and call your services. A site that is invisible or unparseable to agents gets skipped, or misrepresented in the answers those agents generate. Agent Ready exists to make that gap measurable — and fixable.

## What is Agent Ready?

Agent Ready scores any public URL against the [Vercel Agent Readability Spec](https://vercel.com/kb/guide/agent-readability-spec), the [llmstxt.org](https://llmstxt.org) standard, and the major agent-protocol manifests (MCP, A2A, agents.json, agent-permissions.json, NLWeb, and the agentic-commerce specs). It returns a 0–100 score, a per-check breakdown, and a plain-English fix for every issue. See the [full methodology](https://agent-ready.dev/methodology) for how the score is computed.

The scanner is available wherever you work: a hosted web app, a [REST API](https://agent-ready.dev/docs/api), an [MCP server](https://agent-ready.dev/mcp), a command-line client, a client SDK for Node and Python, a browser extension, installable Agent Skills, a [Cursor plugin](https://github.com/mlava/agent-ready-cursor-plugin), a [Gemini CLI extension](https://github.com/mlava/agent-ready-gemini), and an [app in the ChatGPT directory](https://chatgpt.com/apps/agent-ready/asdk_app_6a1cb1116f4881919bfa5e9a3d9d3b48). It also publishes a public [/ask](https://agent-ready.dev/ask) endpoint over its own methodology and check registry.

## For agents reading this

If you are an AI agent, you do not need this page — Agent Ready is built to be called, not just read. Install the [MCP server](https://agent-ready.dev/mcp) to call `scan_site`, `get_scan`, and `ask` as native tools, run the [CLI](https://agent-ready.dev/docs/api#cli) for one-command scans, or POST to [/ask](https://agent-ready.dev/ask) for a natural-language query that returns Schema.org-typed results. Discovery files ([llms.txt](https://agent-ready.dev/llms.txt), markdown mirrors, and the `/.well-known/` manifests) describe all of these surfaces without a credential.

## How do I contact Agent Ready?

There is no contact form — these are the canonical channels, and the email addresses are also published in the site's machine-readable manifests so agents can find them too.

- **General** — [hello@agent-ready.dev](mailto:hello@agent-ready.dev): Questions, feedback, partnerships, or anything that doesn't fit a category below.
- **Abuse & policy** — [abuse@agent-ready.dev](mailto:abuse@agent-ready.dev): Report misuse of the scanner, a security issue, or a policy violation. Also declared in /.well-known/agent-permissions.json.
- **Privacy** — [privacy@agent-ready.dev](mailto:privacy@agent-ready.dev): Data, GDPR, and privacy requests. See the privacy policy for the full detail.
- **Source & issues** — [github.com/mlava](https://github.com/mlava): The CLI, MCP server, SDK, browser extension, and Agent Skills are public — file issues on the relevant repository.
- **Status** — [status.agent-ready.dev](https://status.agent-ready.dev): Live uptime and incident history for the scanner and API.
- **Ask the site** — [agent-ready.dev/ask](https://agent-ready.dev/ask): A public natural-language /ask endpoint (NLWeb) over the methodology, checks, and specs — POST JSON, get Schema.org-typed results.

## Frequently asked questions

### What is Agent Ready?

Agent Ready is a scanner that scores any public website for AI agent readability. It runs 67 checks against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP, A2A, agents.json, agent-permissions.json, and more), returning a 0–100 score with a plain-English fix for every issue.

### Who is behind Agent Ready?

Agent Ready is an independent project, not a venture-backed company. It is built and maintained by a single developer, with the CLI, MCP server, SDK, browser extension, and Agent Skills all published as open source under the github.com/mlava account.

### How do I contact the team?

Email hello@agent-ready.dev for general enquiries, abuse@agent-ready.dev to report misuse or a security issue, and privacy@agent-ready.dev for data and privacy requests. There is no contact form — these mailto addresses are the canonical channels and are also published in the site's machine-readable manifests.

### How do I report abuse or a security issue?

Email abuse@agent-ready.dev. The same address is declared as the abuse contact in /.well-known/agent-permissions.json, so agents and automated reporters can discover it without reading this page.

### Is Agent Ready open source?

The surrounding tooling is. The CLI (agent-ready-scanner on npm), the MCP server (agent-ready-mcp), the SDK (agent-ready-client on npm and PyPI), the browser extension, the Cursor plugin, the Gemini extension, and the Agent Skills are all public. They are thin clients over the hosted scanning API.

### How do AI agents interact with Agent Ready?

Several ways. Install the MCP server to call scan_site, get_scan, and ask as native tools; run the agent-ready CLI for one-command terminal scans; hit the REST API directly; or POST to the public /ask endpoint for a natural-language query over the methodology and check registry. The site also publishes its own llms.txt, markdown mirrors, and .well-known manifests so agents can discover all of this on their own.

---

Read the full page on the web: <https://agent-ready.dev/about>

Score your site for agents: <https://agent-ready.dev/agent-readability-score>

## Sitemap

See the full [sitemap](https://agent-ready.dev/sitemap.md) for all pages on agent-ready.dev.
