io.github.AutomateLab-tech/ai-seo
NPM · @AUTOMATELAB/AI-SEO-MCP · SCANNED SEP 20
MCP server for AI-SEO auditing: schema, robots.txt, llms.txt, citation scoring, and AEO/GEO rewrites
Available components
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. How we score → Why this is hard to score →
Supply Chain Security81
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects undici 7.25.0, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 34 of 127 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency23
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 103 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 752 tokens (~57/item across 13 items; 13 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
- Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.AutomateLab-tech/ai-seo MCP server?
io.github.AutomateLab-tech/ai-seo runs locally as an npm package, launched with npx -y @automatelab/ai-seo-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @automatelab/ai-seo-mcp
claude mcp add automatelab-tech-ai-seo -- npx -y @automatelab/ai-seo-mcp
{
"mcpServers": {
"automatelab-tech-ai-seo": {
"command": "npx",
"args": [
"-y",
"@automatelab/ai-seo-mcp"
]
}
}
} {
"servers": {
"automatelab-tech-ai-seo": {
"command": "npx",
"args": [
"-y",
"@automatelab/ai-seo-mcp"
]
}
}
} codex mcp add automatelab-tech-ai-seo -- npx -y @automatelab/ai-seo-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"automatelab-tech-ai-seo": {
"type": "local",
"command": [
"npx",
"-y",
"@automatelab/ai-seo-mcp"
],
"enabled": true
}
}
} openclaw mcp add automatelab-tech-ai-seo --command npx --arg -y --arg @automatelab/ai-seo-mcp
mcp_servers:
automatelab-tech-ai-seo:
command: "npx"
args: ["-y", "@automatelab/ai-seo-mcp"] {
"McpServers": {
"automatelab-tech-ai-seo": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@automatelab/ai-seo-mcp"
]
}
}
} assistant mcp add automatelab-tech-ai-seo -t stdio -c npx -a -y @automatelab/ai-seo-mcp
{
"mcpServers": {
"automatelab-tech-ai-seo": {
"command": "npx",
"args": [
"-y",
"@automatelab/ai-seo-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −3
- Stability: pass → 0.80 functional
- 15 Sept 26 +1
- Stability: 0.97 → pass security
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −3
- Stability: pass → 0.80 functional
- 8 Sept 26 +1
- Stability: 0.97 → pass security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed npm/@automatelab/ai-seo-mcp@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 12 findings
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-35p6-xmwp-9g52 | CVE-2026-6733 | low | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N | yes |
| GHSA-4cwx-7wf7-3272 | CVE-2026-13697 | high | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:H | yes |
| GHSA-8xcm-r25x-g524 | CVE-2026-16728 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N | yes |
| GHSA-g8m3-5g58-fq7m | CVE-2026-11525 | low | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N | yes |
| GHSA-hm92-r4w5-c3mj | CVE-2026-6734 | high | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H | yes |
| GHSA-jr45-8vmc-qm54 | CVE-2026-14643 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N | yes |
| GHSA-m8rv-5g2x-5cg5 | CVE-2026-15157 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:L/A:N | yes |
| GHSA-p88m-4jfj-68fv | CVE-2026-9679 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N | yes |
| GHSA-pr7r-676h-xcf6 | CVE-2026-9678 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N | yes |
| GHSA-v3r7-h72x-cjcm | CVE-2026-16729 | medium | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N | yes |
| GHSA-vmh5-mc38-953g | CVE-2026-9697 | high | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N | yes |
| GHSA-vxpw-j846-p89q | CVE-2026-12151 | high | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 127 packages
| Packages resolved | 127 |
|---|---|
| Deprecated | 1 |
| Stale | 34 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
audit_canonical ~44
Audit canonical link integrity, trailing-slash hygiene, self-referencing, and og:url consistency.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| url | string | yes | – |
No output schema declared.
No examples provided.
audit_page ~62
Run a full AI-SEO audit on a single URL and return categorized findings with severity, fix instructions, and a 0-100 score.
| Name | Type | Req | Description |
|---|---|---|---|
| include_raw_html | boolean | – | – |
| respect_robots | boolean | – | – |
| url | string | yes | – |
No output schema declared.
No examples provided.
audit_schema ~56
Validate JSON-LD structured data on a URL or raw JSON string against Schema.org rules and AI-citation best practices.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| schema_json | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
check_robots ~38
Parse a domain's robots.txt and report per-crawler allow/disallow posture for all known AI crawlers.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
No output schema declared.
No examples provided.
check_sitemap ~49
Validate a domain's XML sitemap for presence, accessibility, URL count, lastmod freshness, and AI-search attributes.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
| max_urls_to_check | integer | – | – |
No output schema declared.
No examples provided.
check_technical ~52
Audit a page's HEAD for canonical, OpenGraph, Twitter Card, hreflang, HTTPS, noindex, and title hygiene.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| url | string | yes | – |
No output schema declared.
No examples provided.
extract_entities ~52
Extract named entities, linked concepts, and sameAs graph nodes from a page's content and structured data.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| text | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
generate_llms_txt ~70
Generate a valid llms.txt (and optionally llms-full.txt) for a domain from its sitemap.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
| include_full | boolean | – | – |
| max_pages | integer | – | – |
| site_description | string | – | – |
| site_name | string | – | – |
No output schema declared.
No examples provided.
rewrite_for_aeo ~78
Rewrite a content block for Answer Engine Optimization - adds BLUF opening, FAQ structure, and schema additions.
| Name | Type | Req | Description |
|---|---|---|---|
| format | string | – | – |
| max_words | integer | – | – |
| respect_robots | boolean | – | – |
| target_query | string | yes | – |
| text | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
rewrite_for_geo ~77
Rewrite a content block for Generative Engine Optimization - entity-rich, comparison-ready, synthesis-friendly.
| Name | Type | Req | Description |
|---|---|---|---|
| add_comparison_table | boolean | – | – |
| max_words | integer | – | – |
| respect_robots | boolean | – | – |
| target_query | string | yes | – |
| text | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
score_ai_overview_eligibility ~52
Score a page's probability of appearing in Google AI Overviews using published 2025-2026 correlation factors.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| url | string | yes | – |
No output schema declared.
No examples provided.
score_citation_worthiness ~69
Score how citable a page or text block is for AI engines: BLUF, FAQ patterns, statistic density, entity clarity.
| Name | Type | Req | Description |
|---|---|---|---|
| respect_robots | boolean | – | – |
| target_query | string | – | – |
| text | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
validate_llms_txt ~53
Validate an existing llms.txt or llms-full.txt against the spec, checking structure and broken links.
| Name | Type | Req | Description |
|---|---|---|---|
| check_links | boolean | – | – |
| content | string | – | – |
| url | string | – | – |
No output schema declared.
No examples provided.
What is the io.github.AutomateLab-tech/ai-seo MCP server?
io.github.AutomateLab-tech/ai-seo is an MCP server listed in the public MCP registry as io.github.AutomateLab-tech/ai-seo. MCP server for AI-SEO auditing: schema, robots.txt, llms.txt, citation scoring, and AEO/GEO rewrites. This page covers its npm package (@automatelab/ai-seo-mcp).
Is the io.github.AutomateLab-tech/ai-seo MCP server safe to use?
io.github.AutomateLab-tech/ai-seo scores 70 out of 100 on VerifyMCP. We recorded 12 known advisories against it as of 20 September 2026. It declares no install or post-install scripts. 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 io.github.AutomateLab-tech/ai-seo MCP server expose?
io.github.AutomateLab-tech/ai-seo exposes 13 tools: audit_page, audit_schema, audit_canonical, check_robots, check_sitemap, and 8 more. Their descriptions and schemas cost roughly 752 tokens of context every time the server is loaded.
Is the io.github.AutomateLab-tech/ai-seo MCP server still maintained?
io.github.AutomateLab-tech/ai-seo is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.AutomateLab-tech/ai-seo MCP server under?
io.github.AutomateLab-tech/ai-seo declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.