# AIReady (remote · ai-ready.magicteams.ai)

Scan and fix your site's AI discoverability: crawler access, llms.txt, JSON-LD. Free.

- Trust score: 79/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-23

## Components

- remote · `ai-ready.magicteams.ai`: 79/100 (this document), [markdown](https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready.md), [page](https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready)

## Channel facts

- Endpoint: `https://ai-ready.magicteams.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-23.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1594 tokens (~83/item across 19 items; 19 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 63/100
  - Stability observed for 19 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 19 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 20 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the AIReady MCP server?

AIReady is a hosted endpoint at https://ai-ready.magicteams.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http everyai-com-ai-ready 'https://ai-ready.magicteams.ai/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "everyai-com-ai-ready": {
      "url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "everyai-com-ai-ready": {
      "type": "http",
      "url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.everyai-com-ai-ready]
url = "https://ai-ready.magicteams.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "everyai-com-ai-ready": {
      "type": "remote",
      "url": "https://ai-ready.magicteams.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add everyai-com-ai-ready --url 'https://ai-ready.magicteams.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  everyai-com-ai-ready:
    url: "https://ai-ready.magicteams.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "everyai-com-ai-ready": {
      "Transport": "http",
      "Url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add everyai-com-ai-ready -t streamable-http -u 'https://ai-ready.magicteams.ai/mcp'
```

### Other

```json
{
  "mcpServers": {
    "everyai-com-ai-ready": {
      "type": "http",
      "url": "https://ai-ready.magicteams.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-22 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-20 (score 78, −1)

- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “check_ai_readiness” rewrote its description, which is the text the model reads
- [security] Tool “crawler_policy_guide” rewrote its description, which is the text the model reads
- [security] Tool “llms_txt_draft” rewrote its description, which is the text the model reads
- [security] Tool “robots_txt_for_ai” rewrote its description, which is the text the model reads
- [security] Tool “schema_jsonld_sample” rewrote its description, which is the text the model reads
- [functional regression] Prompt “ai_crawler_rules” was removed
- [functional regression] Prompt “audit_site” was removed
- [functional regression] Prompt “write_llms_txt” was removed
- [functional regression] Tool “check_ai_readiness” dropped its output schema
- [functional regression] Tool “crawler_policy_guide” dropped its output schema
- [functional regression] Tool “llms_txt_draft” dropped its output schema
- [functional regression] Tool “robots_txt_for_ai” dropped its output schema
- [functional regression] Tool “schema_jsonld_sample” dropped its output schema
- [functional improvement] Schema quality: fail → pass
- [functional] The server no longer declares the “prompts” capability
- [functional] Schema quality: excellent → good
- [functional] MCP protocol: Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.
- [functional] MCP protocol version: 2026-07-28 → 2025-11-25
- [functional] Server version: 1.1.0 → 2.0.0
- [functional] New tool “add_competitors”
- [functional] New tool “add_prompts”
- [functional] New tool “ask_ai_engine”
- [functional] New tool “create_project”
- [functional] New tool “get_action_plan”
- [functional] New tool “get_citations”
- [functional] New tool “get_run_status”
- [functional] New tool “get_usage”
- [functional] New tool “get_visibility_report”
- [functional] New tool “list_projects”
- [functional] New tool “list_prompts”
- [functional] New tool “run_visibility_check”
- [functional] New tool “scan_project_site”
- [functional] New tool “suggest_prompts”
- [cosmetic] “check_ai_readiness” reworded the description of “domain”
- [cosmetic] “llms_txt_draft” reworded the description of “business_name”
- [cosmetic] “llms_txt_draft” reworded the description of “contact_email”
- [cosmetic] “llms_txt_draft” reworded the description of “description”
- [cosmetic] “llms_txt_draft” reworded the description of “key_pages”
- [cosmetic] “robots_txt_for_ai” reworded the description of “content_signals”
- [cosmetic] “robots_txt_for_ai” reworded the description of “policy”
- [cosmetic] “robots_txt_for_ai” reworded the description of “sitemap_url”
- [cosmetic] “schema_jsonld_sample” reworded the description of “address”
- [cosmetic] “schema_jsonld_sample” reworded the description of “description”
- [cosmetic] “schema_jsonld_sample” reworded the description of “name”
- [cosmetic] “schema_jsonld_sample” reworded the description of “price”
- [cosmetic] “schema_jsonld_sample” reworded the description of “questions”
- [cosmetic] “schema_jsonld_sample” reworded the description of “telephone”
- [cosmetic] “schema_jsonld_sample” reworded the description of “type”
- [cosmetic] “schema_jsonld_sample” reworded the description of “url”
- [cosmetic] Tool “crawler_policy_guide” changed its title: Crawler policy guide → AI crawler policy guide
- [cosmetic] Tool “robots_txt_for_ai” changed its title: Generate robots.txt for AI → Generate robots.txt AI rules
- [cosmetic] Tool “schema_jsonld_sample” changed its title: Generate JSON-LD sample → Generate JSON-LD

### 2026-10-18 (score 79, +3)

- [security] The server rewrote its instructions, which are the text every model session reads
- [security] Tool “check_ai_readiness” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: 199 → 232
- [functional] The server now declares the “prompts” capability
- [functional] First check of Schema quality: 100
- [functional] New prompt “ai_crawler_rules”
- [functional] New prompt “audit_site”
- [functional] New prompt “write_llms_txt”
- [functional] Server version: 1.0.0 → 1.1.0

### 2026-10-15 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-13 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-12 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 27. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-10 (score 73, +4)

- [security] Tool “check_ai_readiness” rewrote its description, which is the text the model reads
- [security] Tool “crawler_policy_guide” rewrote its description, which is the text the model reads
- [security] Tool “llms_txt_draft” rewrote its description, which is the text the model reads
- [security] Tool “robots_txt_for_ai” rewrote its description, which is the text the model reads
- [security] Tool “schema_jsonld_sample” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: pass → fail
- [functional improvement] Tool coverage: 6% → 100%
- [functional] First check of Tool coverage: 100
- [functional] Schema quality: good → excellent
- [cosmetic] “check_ai_readiness” reworded the description of “domain”
- [cosmetic] “llms_txt_draft” reworded the description of “business_name”
- [cosmetic] “llms_txt_draft” reworded the description of “contact_email”
- [cosmetic] “llms_txt_draft” reworded the description of “description”
- [cosmetic] “llms_txt_draft” reworded the description of “key_pages”
- [cosmetic] “robots_txt_for_ai” reworded the description of “content_signals”
- [cosmetic] “robots_txt_for_ai” reworded the description of “policy”
- [cosmetic] “robots_txt_for_ai” reworded the description of “sitemap_url”
- [cosmetic] “schema_jsonld_sample” reworded the description of “address”
- [cosmetic] “schema_jsonld_sample” reworded the description of “description”
- [cosmetic] “schema_jsonld_sample” reworded the description of “name”
- [cosmetic] “schema_jsonld_sample” reworded the description of “price”
- [cosmetic] “schema_jsonld_sample” reworded the description of “questions”
- [cosmetic] “schema_jsonld_sample” reworded the description of “telephone”
- [cosmetic] “schema_jsonld_sample” reworded the description of “type”
- [cosmetic] “schema_jsonld_sample” reworded the description of “url”

### 2026-10-06 (score 69, +1)

- [functional improvement] Stability: unverified → 0.07

## MCP tools (19)

### `check_ai_readiness` (~109 tokens)

Check AI readiness

Scan one website for AI discoverability: which AI crawlers robots.txt allows or blocks (OAI-SearchBot, ClaudeBot, PerplexityBot...), llms.txt, sitemap, schema.org data, meta tags and Content Signals. Returns a 0-100 score, grade and prioritized fixes. Fetches only the domain's /robots.txt, /llms.txt, /sitemap.xml and homepage.

Input parameters:

- `domain` (string, required): Domain or URL, e.g. example.com

### `crawler_policy_guide` (~55 tokens)

AI crawler policy guide

Reference table of AI crawlers and control tokens (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended...): owner, purpose and whether each drives AI citations or only training.

### `robots_txt_for_ai` (~81 tokens)

Generate robots.txt AI rules

Generate robots.txt rules for an AI policy: max_visibility, search_only, block_training or block_all_ai, optionally with Content-Signal lines and a sitemap reference.

Input parameters:

- `content_signals` (boolean): Add Content-Signal lines (default true)
- `policy` (string, required): AI crawler policy
- `sitemap_url` (string): Optional sitemap URL

### `llms_txt_draft` (~87 tokens)

Draft llms.txt

Draft a starter llms.txt from a business name, one-line summary, key pages and contact, so AI assistants get a curated map of the site.

Input parameters:

- `business_name` (string, required): Business or site name
- `contact_email` (string): Contact email
- `description` (string, required): One sentence about what you offer
- `key_pages` (array): Key pages

### `schema_jsonld_sample` (~121 tokens)

Generate JSON-LD

Generate a schema.org JSON-LD snippet (organization, local_business, product or faq) to paste into a page head so AI systems identify the entity correctly.

Input parameters:

- `address` (string): Address (local_business)
- `description` (string): Short description
- `name` (string, required): Entity name
- `price` (string): Price (product)
- `questions` (array): FAQ items (faq)
- `telephone` (string): Phone (local_business)
- `type` (string, required): Schema type
- `url` (string, required): Site URL

### `ask_ai_engine` (~159 tokens)

Ask an AI engine (live)

Run one prompt through a live AI engine (ChatGPT, Gemini, Perplexity, Copilot or Google AI Mode) from a country and return the full answer, the pages it cited and, if a brand is given, whether and where it was named. Costs one engine check from the workspace budget. (Requires an AIReady API key.)

Input parameters:

- `brand` (string): Optional brand to look for
- `competitors` (array): Optional competitor names to rank against
- `country` (string): Two-letter country code (default US)
- `domain` (string): Optional brand domain, to detect citations of its site
- `engine` (string): Engine
- `prompt` (string, required): The question exactly as a buyer would type it

### `list_projects` (~31 tokens)

List tracked brands

List the workspace's tracked brands (projects) with their latest visibility summary. (Requires an AIReady API key.)

### `create_project` (~183 tokens)

Start tracking a brand

Create a project that tracks one brand's visibility in AI answers. Optionally add competitors and prompts in the same call. Use suggest_prompts first if you don't have prompts. (Requires an AIReady API key.)

Input parameters:

- `aliases` (array): Other spellings of the brand
- `brand` (string, required): Brand name as people write it
- `competitors` (array): Competitors
- `countries` (array): Two-letter country codes to ask from (default US)
- `description` (string): What the business does and for whom (helps prompt suggestions)
- `domain` (string): Brand website domain
- `engines` (array): Engines to track (default all): chatgpt, gemini, perplexity, copilot, ai_mode
- `prompts` (array): Prompts to track
- `schedule` (string): How often to re-check

### `add_competitors` (~50 tokens)

Add competitors

Add competitors to a project so reports rank the brand against them. (Requires an AIReady API key.)

Input parameters:

- `competitors` (array, required): Competitors
- `project_id` (string, required): Project id

### `suggest_prompts` (~78 tokens)

Suggest buyer prompts

Suggest the questions real buyers ask AI assistants in this brand's category (category, problem, comparison and branded prompts). Does not save them; pass the ones you want to add_prompts. (Requires an AIReady API key.)

Input parameters:

- `count` (integer): How many (default 15)
- `project_id` (string, required): Project id

### `add_prompts` (~55 tokens)

Add prompts to track

Add prompts (questions buyers ask AI assistants) to a project. Duplicates are skipped. (Requires an AIReady API key.)

Input parameters:

- `project_id` (string, required): Project id
- `prompts` (array, required): Prompts

### `run_visibility_check` (~75 tokens)

Run a visibility check

Run every active prompt of a project through every tracked engine and country. Starts immediately and finishes in the background (usually 1-5 minutes); poll get_run_status. Spends engine checks from the monthly budget; the estimate is returned. (Requires an AIReady API key.)

Input parameters:

- `project_id` (string, required): Project id

### `get_run_status` (~35 tokens)

Get run status

Progress and summary of a visibility run. (Requires an AIReady API key.)

Input parameters:

- `run_id` (string, required): Run id

### `get_visibility_report` (~85 tokens)

Get visibility report

The brand's AI visibility: score, mention and citation rates, average rank, share of voice vs competitors, results per engine, country and prompt, trend over runs, sentiment, and untracked brands the engines recommend. (Requires an AIReady API key.)

Input parameters:

- `days` (integer): Window in days (default 30)
- `project_id` (string, required): Project id

### `get_citations` (~78 tokens)

Get cited sources

Which domains and pages AI engines cite for the project's prompts, which are the brand's own or a competitor's, and any of the brand's cited pages that now return 404. (Requires an AIReady API key.)

Input parameters:

- `days` (integer): Window in days (default 30)
- `project_id` (string, required): Project id

### `get_action_plan` (~70 tokens)

Get the action plan

Prioritized steps to get named more often: dead cited pages to redirect, readiness fixes, prompts the brand loses and what to publish for each, sites to get listed on, and competitors to close the gap with. (Requires an AIReady API key.)

Input parameters:

- `project_id` (string, required): Project id

### `scan_project_site` (~45 tokens)

Scan the project's site

Run the AI readiness scan on the project's own domain and save it to the project history. (Requires an AIReady API key.)

Input parameters:

- `project_id` (string, required): Project id

### `get_usage` (~36 tokens)

Get usage and budget

This month's engine spend, checks run and remaining budget, plus the price per check of each engine. (Requires an AIReady API key.)

### `list_prompts` (~33 tokens)

List a project's prompts

The prompts a project tracks. (Requires an AIReady API key.)

Input parameters:

- `project_id` (string, required): Project id

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready#diagnostics

## Score history

- 2026-10-23: 79
- 2026-10-22: 79
- 2026-10-21: 78
- 2026-10-20: 78
- 2026-10-19: 79
- 2026-10-18: 79
- 2026-10-17: 76
- 2026-10-16: 76
- 2026-10-15: 76
- 2026-10-14: 75
- 2026-10-13: 75
- 2026-10-12: 74
- 2026-10-10: 73
- 2026-10-06: 69
- 2026-10-04: 68

## Common questions

### What is the AIReady MCP server?

AIReady is an MCP server listed in the public MCP registry as io.github.everyai-com/ai-ready. Scan and fix your site's AI discoverability: crawler access, llms.txt, JSON-LD. Free. This page covers its hosted endpoint (https://ai-ready.magicteams.ai/mcp).

### Is the AIReady MCP server safe to use?

AIReady scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AIReady MCP server expose?

AIReady exposes 19 tools: check_ai_readiness, crawler_policy_guide, robots_txt_for_ai, llms_txt_draft, schema_jsonld_sample, and 14 more. Their descriptions and schemas cost roughly 1,466 tokens of context every time the server is loaded.

### Does the AIReady MCP server require authentication?

No. We connected to AIReady without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AIReady MCP server still maintained?

AIReady is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://ai-ready.magicteams.ai/mcp
- Repository: https://github.com/everyai-com/sahadeva
- Changelog RSS feed: https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready.xml
- Changelog JSON feed: https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready.json
- HTML version of this page: https://verifymcp.io/servers/everyai-com-ai-ready/ai-ready