mcp
See how ChatGPT, Claude, Perplexity, and Gemini cite brands, prompts, and sources.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"mcp": {
"command": "npx",
"args": [
"@parse-gl/mcp"
]
}
}
}実行可能なパッケージ
1.0.0stdioリモートエンドポイント
https://mcp.parse.gl/mcpstreamable-httpできること
ツール一覧
ツール（6）
🟢parse_search(query, types, limit)
Find brands, organic AI prompts, and market niches for marketer research. Use this first when the user names a brand, category, or AI visibility question.
入力スキーマ
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"types": {
"type": "array",
"items": {
"type": "string",
"enum": [
"brands",
"prompts",
"niches"
]
}
},
"limit": {
"type": "number",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query"
]
}🟢parse_get_brand(slug_or_id)
Fetch a concise public marketing brief for one brand, including Parse score, strengths, weak spots, top prompts, citation sources, related brands, and next research questions.
入力スキーマ
{
"type": "object",
"properties": {
"slug_or_id": {
"type": "string"
}
},
"required": [
"slug_or_id"
]
}🟢parse_get_prompt(slug)
Fetch one public organic prompt by slug when the user wants to inspect the exact AI-search question behind a result.
入力スキーマ
{
"type": "object",
"properties": {
"slug": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢parse_get_stats
Explain the public Parse index scale and freshness: tracked brands, organic prompts, and citation observations.
入力スキーマ
{
"type": "object",
"properties": {}
}🟢search(query, limit)
Compatibility alias for parse_search. Use for clients that expect a generic search tool.
入力スキーマ
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"limit": {
"type": "number",
"minimum": 1,
"maximum": 10
}
},
"required": [
"query"
]
}🟢fetch(id)
Compatibility alias that resolves fetch IDs like brand:stripe or prompt:best-crm into JSON-text results with human-readable text.
入力スキーマ
{
"type": "object",
"properties": {
"id": {
"type": "string"
}
},
"required": [
"id"
]
}コミュニティ
エビデンス