# io.github.AutomateLab-tech/ai-seo (npm · @automatelab/ai-seo-mcp)

MCP server for AI-SEO auditing: schema, robots.txt, llms.txt, citation scoring, and AEO/GEO rewrites

- Trust score: 50/100 (low)
- Change this week: +15
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@automatelab/ai-seo-mcp`: 50/100 (this document), [markdown](https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp.md), [page](https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp)

## Channel facts

- Registry: `npm`
- Package: `@automatelab/ai-seo-mcp`
- Version: `0.1.1`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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 2026-08-03.

- **Supply Chain Security**: 70/100
  - No malware found by supply-chain analysis.
  - CVE check failed: a known high-severity CVE affects undici 7.25.0, a direct dependency. A fixed version is available.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (126 of 131), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 19/100
  - Repository check failed: the declared repository URL redirects; it must resolve directly.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 55 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 752 tokens (~57/item across 13 items; 13 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add automatelab-tech-ai-seo -- npx -y @automatelab/ai-seo-mcp
```

### Codex

```bash
codex mcp add automatelab-tech-ai-seo -- npx -y @automatelab/ai-seo-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "automatelab-tech-ai-seo": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@automatelab/ai-seo-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add automatelab-tech-ai-seo --command npx --arg -y --arg @automatelab/ai-seo-mcp
```

### Hermes

```yaml
mcp_servers:
  automatelab-tech-ai-seo:
    command: "npx"
    args: ["-y", "@automatelab/ai-seo-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "automatelab-tech-ai-seo": {
      "command": "npx",
      "args": [
        "-y",
        "@automatelab/ai-seo-mcp"
      ]
    }
  }
}
```

## 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.

### 2026-08-03 (score 50, +17)

- [security regression] CVE-2026-9697 affects this package: high
- [security regression] CVE-2026-9678 affects this package: high
- [security regression] CVE-2026-6734 affects this package: high
- [security regression] CVE-2026-11525 affects this package: high
- [security regression] GHSA-frvp-7c67-39w9 affects this package: high
- [security regression] CVE-2026-9679 affects this package: high
- [security regression] CVE-2026-6733 affects this package: high
- [security regression] CVE-2026-12151 affects this package: high
- [security regression] Provenance: unverified → fail
- [security regression] Known CVEs: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-08-02 (score 33, +5)

- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-08-01 (score 28, +11)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-31 (score 17, −18)

- [security regression] Malware scan: pass → unverified

### 2026-07-27 (score 35)

First indexed and scored.

## MCP tools (13)

### `audit_page` (~62 tokens)

Run a full AI-SEO audit on a single URL and return categorized findings with severity, fix instructions, and a 0-100 score.

Input parameters:

- `include_raw_html` (boolean)
- `respect_robots` (boolean)
- `url` (string, required)

### `audit_schema` (~56 tokens)

Validate JSON-LD structured data on a URL or raw JSON string against Schema.org rules and AI-citation best practices.

Input parameters:

- `respect_robots` (boolean)
- `schema_json` (string)
- `url` (string)

### `audit_canonical` (~44 tokens)

Audit canonical link integrity, trailing-slash hygiene, self-referencing, and og:url consistency.

Input parameters:

- `respect_robots` (boolean)
- `url` (string, required)

### `check_robots` (~38 tokens)

Parse a domain's robots.txt and report per-crawler allow/disallow posture for all known AI crawlers.

Input parameters:

- `domain` (string, required)

### `check_sitemap` (~49 tokens)

Validate a domain's XML sitemap for presence, accessibility, URL count, lastmod freshness, and AI-search attributes.

Input parameters:

- `domain` (string, required)
- `max_urls_to_check` (integer)

### `check_technical` (~52 tokens)

Audit a page's HEAD for canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, and title hygiene.

Input parameters:

- `respect_robots` (boolean)
- `url` (string, required)

### `score_ai_overview_eligibility` (~52 tokens)

Score a page's probability of appearing in Google AI Overviews using published 2025-2026 correlation factors.

Input parameters:

- `respect_robots` (boolean)
- `url` (string, required)

### `generate_llms_txt` (~70 tokens)

Generate a valid llms.txt (and optionally llms-full.txt) for a domain from its sitemap.

Input parameters:

- `domain` (string, required)
- `include_full` (boolean)
- `max_pages` (integer)
- `site_description` (string)
- `site_name` (string)

### `validate_llms_txt` (~53 tokens)

Validate an existing llms.txt or llms-full.txt against the spec, checking structure and broken links.

Input parameters:

- `check_links` (boolean)
- `content` (string)
- `url` (string)

### `score_citation_worthiness` (~69 tokens)

Score how citable a page or text block is for AI engines: BLUF, FAQ patterns, statistic density, entity clarity.

Input parameters:

- `respect_robots` (boolean)
- `target_query` (string)
- `text` (string)
- `url` (string)

### `rewrite_for_aeo` (~78 tokens)

Rewrite a content block for Answer Engine Optimization - adds BLUF opening, FAQ structure, and schema additions.

Input parameters:

- `format` (string)
- `max_words` (integer)
- `respect_robots` (boolean)
- `target_query` (string, required)
- `text` (string)
- `url` (string)

### `rewrite_for_geo` (~77 tokens)

Rewrite a content block for Generative Engine Optimization - entity-rich, comparison-ready, synthesis-friendly.

Input parameters:

- `add_comparison_table` (boolean)
- `max_words` (integer)
- `respect_robots` (boolean)
- `target_query` (string, required)
- `text` (string)
- `url` (string)

### `extract_entities` (~52 tokens)

Extract named entities, linked concepts, and sameAs graph nodes from a page's content and structured data.

Input parameters:

- `respect_robots` (boolean)
- `text` (string)
- `url` (string)

## Diagnostics

Captured diagnostic sections: Provenance, Vulnerabilities, Dependencies. The full working is on the page: https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp#diagnostics

## Score history

- 2026-08-03: 50
- 2026-08-02: 33
- 2026-08-01: 28
- 2026-07-31: 17
- 2026-07-29: 35
- 2026-07-28: 35
- 2026-07-27: 35

## Links

- npm package: https://www.npmjs.com/package/@automatelab/ai-seo-mcp
- Socket report: https://socket.dev/npm/package/@automatelab/ai-seo-mcp
- Changelog RSS feed: https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/automatelab-tech-ai-seo/automatelab-ai-seo-mcp