# AgentsReady

> Audit any website for AI agents and AI search (AEO): llms.txt, AI bots, schema. Score plus fixes.

- name: dev.agentsready/agentsready
- version: 1.2.2
- connection class: R0 (autonomous)
- trust: 83/100 flags: no-repository
- quality: 82/100 (new)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/dev.agentsready%2Fagentsready
- tools: https://api.protogrid.dev/v1/servers/dev.agentsready%2Fagentsready/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "agentsready": {
      "type": "http",
      "url": "https://agentsready.dev/mcp"
    }
  }
}
```


## Trust

- hygiene: 80
- liveness: 100
- freshness: 100
- provenance: 55
- drivers: +dns-namespace +website +reachable +uptime-100% +updated-0d-ago -no-repository
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 82/100 (new)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 88 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 5 of 5 tools declare readOnlyHint or destructiveHint
- fail `tools.directory_hints`: no tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: check_site (destructiveHint, idempotentHint); get_fixes (destructiveHint, idempotentHint); get_standard (destructiveHint, idempotentHint, openWorldHint); …
- pass `tools.token_cost`: about 672 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump
- pass `tools.hidden_text`: no hidden text in tool names, descriptions, schemas or annotations

### stability: n/a (weight 15)

- n/a `stability.changes`, `stability.rug_pull`, `stability.new_links`: tool history recorded for 1 of the 7 days needed

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 5, about 672 tokens to load them all
- tool set hash: 9ec82507398a88cb2798cb1df5be9c43
- badge: [![protogrid quality](https://protogrid.dev/badge/dev.agentsready/agentsready.svg)](https://protogrid.dev/servers/dev.agentsready/agentsready)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://agentsready.dev/mcp (streamable-http, auth none, reachable true, uptime30d 1)

## Packages

_none_

## Tools (5)

- `check_site`: Audit a website for AI agents and AI search (AEO/GEO): scan it the way ChatGPT, Claude and Perplexity fetch it and score it 0-100 (60 core points plus 40 for the job). Checks robots.txt rules for AI bots, bot walls and firewalls, server-rendered content, structured data, llms.txt, sitemap, pricing and sign-up pages, OpenAPI and MCP. Returns the score, every failed check with its fix, and the checks it passed. Read-only scan, cached for 24 hours; it does not run an agent on the site.
- `get_checklist`: The full 50-item checklist for getting recommended by AI assistants and letting their agents sign up, grouped by area, with how to pass each item. Pass kind "personal" for the list for a person's own site (portfolio, blog, GitHub Pages).
- `get_fixes`: Return a ready-to-run task list for a coding agent that fixes every failed agent-readiness and AI-search check on the site (for example adding llms.txt, unblocking AI crawlers, adding structured data), biggest first, with how to verify each change. Same scan as check_site.
- `get_standard`: Every check in the AgentsReady score with its points and fix: the 60 core points and the 40 points for each job (recommend, buy, signup, api, personal).
- `lookup_vendor`: Where a software vendor ranks in the AgentsReady category rankings (CRM, help desk, payments and 17 more): score, rank, bot wall, MCP server and biggest gap.