Server definition

Hash: sha256:37f3e851e7213a36cd4c51aca0e49b1abbf3cc2ec663accbe725a1334bddf299
What it is: What a remote MCP server returned when asked what it offers: 3 tools

The blob, as servednamed by its sha256

{
  "instructions": null,
  "tools": [
    {
      "description": "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。",
      "inputSchema": {
        "properties": {
          "domain": {
            "description": "Domain to check, e.g. \"amazon.co.jp\", \"zozo.jp\", \"uniqlo.com/jp\". Partial matches are supported.",
            "type": "string"
          }
        },
        "required": [
          "domain"
        ],
        "type": "object"
      },
      "name": "check_ai_visibility",
      "outputSchema": null
    },
    {
      "description": "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）。",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_ai_visibility_methodology",
      "outputSchema": null
    },
    {
      "description": "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。",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_ai_visibility_industries",
      "outputSchema": null
    }
  ]
}

Verify it yourself

curl -s https://api.teppi.xyz/v1/evidence/sha256:37f3e851e7213a36cd4c51aca0e49b1abbf3cc2ec663accbe725a1334bddf299 | sha256sum