io.github.arthurcarlsonn/aeo-mcp
NPM · AEO-MCP · SCANNED SEP 20
AEO tools for AI agents: crawler permissions, llms.txt, structured data, AI-readiness audit.
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 Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 33 of 121 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- 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 77 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability86
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 465 tokens (~93/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 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.arthurcarlsonn/aeo-mcp server?
io.github.arthurcarlsonn/aeo-mcp runs locally as an npm package, launched with npx -y aeo-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 · aeo-mcp
claude mcp add arthurcarlsonn-aeo-mcp -- npx -y aeo-mcp
{
"mcpServers": {
"arthurcarlsonn-aeo-mcp": {
"command": "npx",
"args": [
"-y",
"aeo-mcp"
]
}
}
} {
"servers": {
"arthurcarlsonn-aeo-mcp": {
"command": "npx",
"args": [
"-y",
"aeo-mcp"
]
}
}
} codex mcp add arthurcarlsonn-aeo-mcp -- npx -y aeo-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"arthurcarlsonn-aeo-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"aeo-mcp"
],
"enabled": true
}
}
} openclaw mcp add arthurcarlsonn-aeo-mcp --command npx --arg -y --arg aeo-mcp
mcp_servers:
arthurcarlsonn-aeo-mcp:
command: "npx"
args: ["-y", "aeo-mcp"] {
"McpServers": {
"arthurcarlsonn-aeo-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"aeo-mcp"
]
}
}
} assistant mcp add arthurcarlsonn-aeo-mcp -t stdio -c npx -a -y aeo-mcp
{
"mcpServers": {
"arthurcarlsonn-aeo-mcp": {
"command": "npx",
"args": [
"-y",
"aeo-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 0
- Security disclosure: unverified → fail ▼ functional
- 18 Sept 26 +1
- Security disclosure: fail → unverified ▼ functional
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 14 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 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 −3
- Stability: pass → 0.80 functional
- 9 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/aeo-mcp@1.0.1
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 →
Dependencies 121 packages
| Packages resolved | 121 |
|---|---|
| Deprecated | 1 |
| Stale | 33 |
| 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_url ~106
Run a full AI-readiness (AEO) audit of a website: 29 checks across AI crawler access, structured data, content extractability, and answerability, returning a 0-100 score with prioritized fixes. Use when asked how visible a site is to ChatGPT, Perplexity, Gemini, or Claude, or for an overall AEO/AI-SEO health check.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | Website URL to audit, e.g. https://example.com |
No output schema declared.
No examples provided.
check_ai_crawlers ~104
Check whether AI crawlers like GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, and Bingbot are allowed to read a website, based on its robots.txt. Use when asked about AI visibility, AEO, crawler permissions, or why a site does not appear in ChatGPT or Perplexity.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | Website URL, e.g. https://example.com (robots.txt is derived from it) |
No output schema declared.
No examples provided.
extract_page_signals ~82
Extract the on-page signals AI engines parse: title, meta description, h1, canonical, lang, text-to-HTML ratio, heading outline, and whether the page looks client-side rendered (invisible to most AI crawlers). Use to diagnose why engines misread or skip a page.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | Page URL to extract signals from |
No output schema declared.
No examples provided.
extract_structured_data ~79
Extract and summarize a page's JSON-LD structured data (schema.org): which types exist (Product, Article, FAQPage, Organization), their key fields, and any parse errors. Use when asked whether a page has the schema markup AI answer engines rely on for citations.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | Page URL to extract structured data from |
No output schema declared.
No examples provided.
inspect_llms_txt ~94
Fetch and validate a website's llms.txt file (the Markdown file that tells AI engines what the site is about and which pages matter). Returns its title, summary, sections, links, and any structural issues. Use when asked whether a site has llms.txt or how to improve it.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | Website URL, e.g. https://example.com (llms.txt is derived from it) |
No output schema declared.
No examples provided.
What is the io.github.arthurcarlsonn/aeo-mcp server?
io.github.arthurcarlsonn/aeo-mcp is listed in the public MCP registry as io.github.arthurcarlsonn/aeo-mcp. AEO tools for AI agents: crawler permissions, llms.txt, structured data, AI-readiness audit. This page covers its npm package (aeo-mcp).
Is the io.github.arthurcarlsonn/aeo-mcp server safe to use?
io.github.arthurcarlsonn/aeo-mcp scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting 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.arthurcarlsonn/aeo-mcp server expose?
io.github.arthurcarlsonn/aeo-mcp exposes 5 tools: audit_url, check_ai_crawlers, inspect_llms_txt, extract_structured_data, extract_page_signals. Their descriptions and schemas cost roughly 465 tokens of context every time the server is loaded.
Is the io.github.arthurcarlsonn/aeo-mcp server still maintained?
io.github.arthurcarlsonn/aeo-mcp 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.arthurcarlsonn/aeo-mcp server under?
io.github.arthurcarlsonn/aeo-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.