# io.github.LanceRoylo/mcp (npm · @neverranked/mcp)

AEO scoring, llms.txt audit, and agent-readiness checks for AI agents.

- Trust score: 69/100 (medium)
- Change this week: +23
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@neverranked/mcp`: 69/100 (this document), [markdown](https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp.md), [page](https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp)

## Channel facts

- Registry: `npm`
- Package: `@neverranked/mcp`
- Version: `0.1.2`
- 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**: 86/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 79 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 75/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 430 tokens (~143/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 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.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add lanceroylo-mcp -- npx -y @neverranked/mcp
```

### Codex

```bash
codex mcp add lanceroylo-mcp -- npx -y @neverranked/mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add lanceroylo-mcp --command npx --arg -y --arg @neverranked/mcp
```

### Hermes

```yaml
mcp_servers:
  lanceroylo-mcp:
    command: "npx"
    args: ["-y", "@neverranked/mcp"]
```

### Other

```json
{
  "mcpServers": {
    "lanceroylo-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@neverranked/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 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 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.

### 2026-08-02 (score 68, +63)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [functional regression] Security disclosure: fail → unverified
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] Tool coverage: unverified → 100
- [functional] Licence: MIT

### 2026-07-31 (score 5, −23)

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

### 2026-07-30 (score 28, −18)

- [security regression] Malware scan: pass → unverified

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (3)

### `aeo_scan` (~130 tokens)

Score a website's Answer Engine Optimization (AEO) readiness from 0 to 100. Returns the score, letter grade, schema coverage breakdown, technical signals (og:image, h1 count, canonical, etc.), and red flags. Use this when you want to know how citable a site is to ChatGPT, Claude, Perplexity, Gemini, Microsoft Copilot, and Google AI Overviews. Methodology at neverranked.com/standards/methodology.

Input parameters:

- `url` (string, required): Full URL of the website to scan, including protocol. Example: https://example.com

### `llms_txt_check` (~136 tokens)

Audit a website's /llms.txt file against the published standard. Returns a 0-100 score, grade, presence of required structural elements (H1, blockquote, sections), link health, and freshness. Use this when you want to know if a site is properly exposing its content map to AI engines that respect llms.txt (Anthropic Claude, with OpenAI and others stated to follow). Standard at neverranked.com/standards/llms-txt.

Input parameters:

- `url` (string, required): Base URL of the site to check. The tool fetches /llms.txt at the root of this URL.

### `agent_readiness_check` (~164 tokens)

Audit a website for AI agent task-surface readiness. Looks for Schema.org Action types (ReserveAction, ApplyAction, BuyAction, OrderAction, ContactAction) in JSON-LD blocks. Returns a 0-100 score with vertical-specific baselines and validation issues. Use this when you want to know if a site is prepared for the agentic AI shift, where AI agents perform tasks (book, apply, buy) on behalf of users rather than just answering questions. Standard at neverranked.com/standards/agent-readiness.

Input parameters:

- `url` (string, required): Full URL of the website to scan.
- `vertical` (string): Optional vertical baseline to score against. If omitted, the tool reports actions present without comparing to a vertical-specific expected set.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp#diagnostics

## Score history

- 2026-08-03: 69
- 2026-08-02: 68
- 2026-08-01: 5
- 2026-07-31: 5
- 2026-07-30: 28
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/@neverranked/mcp
- Socket report: https://socket.dev/npm/package/@neverranked/mcp
- Repository: https://github.com/LanceRoylo/neverranked
- Website: https://neverranked.com/blog/the-first-aeo-mcp-server/
- Changelog RSS feed: https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/lanceroylo-mcp/neverranked-mcp