# AI Visibility Index

> AI visibility rankings for 104 Japanese EC companies across ChatGPT, Claude, Gemini, Perplexity.

- name: io.github.pulse-digital-dev/mcp-ai-visibility-index
- version: 1.0.0
- connection class: R0 (autonomous)
- trust: 90/100
- quality: 91/100 (strong)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.pulse-digital-dev%2Fmcp-ai-visibility-index
- tools: https://api.protogrid.dev/v1/servers/io.github.pulse-digital-dev%2Fmcp-ai-visibility-index/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "mcp-ai-visibility-index": {
      "type": "http",
      "url": "https://ai-visibility-index.dev/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 100
- freshness: 65
- provenance: 90
- drivers: +repository +namespace-matches-repo +website +reachable +uptime-99% ~updated-126d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 91/100 (strong)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-03-26; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 3 of 3 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 408 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: n/a (weight 15)

- n/a `deps.known_vulns`, `deps.mcp_sdk_version`, `deps.resolvable`: no npm or PyPI package

- tools: 3, about 408 tokens to load them all
- tool set hash: 01406c4c93da95222969eff3b8dbaebc
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.pulse-digital-dev/mcp-ai-visibility-index.svg)](https://protogrid.dev/servers/io.github.pulse-digital-dev/mcp-ai-visibility-index)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Remotes

- https://ai-visibility-index.dev/mcp (streamable-http, auth none, reachable true, uptime30d 0.9916667)

## Packages

_none_

## Tools (3)

- `check_ai_visibility`: Check the AI visibility (LLMO/GEO) score for a specific domain. Returns the overall score (0-100), scores from 4 AI engines (ChatGPT, Claude, Gemini, Perplexity), citation rate, and industry ranking. Data is based on the AI Visibility Index monthly scan of 104 Japanese EC companies. Useful for LLMO (Large Language Model Optimization) and GEO (Generative Engine Optimization) analysis. | 日本EC企業104社のAI検索可視性スコアをドメイン指定で照会。
- `get_ai_visibility_methodology`: Get the AI Visibility Index scoring methodology: how LLMO/GEO scores are calculated, which AI engines are tested (ChatGPT, Claude, Gemini, Perplexity), query types, scoring formula, and data freshness. | スコアリング方法論（計算式・対象エンジン・クエリ種別・データ更新頻度）。
- `list_ai_visibility_industries`: List all industries covered by the AI Visibility Index with their average LLMO/GEO scores, company counts, and score ranges. Currently covers 9 Japanese EC industries with 104 companies total. | 9業界のAI可視性スコア平均・企業数・スコア範囲を一覧表示。