Parsley - Buyer Intent Signals
Query buyer intent signals, MEDDIC qualifications, and lead scores from Parsley.
使うべきか
品質と安全性
A
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
~1,122トークン数（ツール定義）
~1.1 KB一般的なレスポンスサイズ
注意への影響は中程度（128k コンテキストの 0.88%）
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": {
"parsley-mcp": {
"command": "npx",
"args": [
"@tryparsley/mcp-server"
]
}
}
}実行可能なパッケージ
npm@tryparsley/mcp-server
0.1.2stdioリモートエンドポイント
https://www.parsley.id/api/mcpstreamable-httpできること
ツール一覧
ツール（8）
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢get_conversations(days, lead_quality, intent_signal, limit, client)
List recent chatbot conversations with filtering by lead quality, intent signal, and date range.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"lead_quality": {
"type": "string",
"enum": [
"hot",
"warm",
"cold"
]
},
"intent_signal": {
"type": "string",
"enum": [
"high_intent",
"evaluation",
"research",
"support"
]
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_conversation_detail(conversation_id, client)
Get full details of a single conversation: MEDDIC signals, engagement metrics, enrichment data, and any owner-configured discovery field values captured during the chat (e.g. company size, current tooling, hiring status).
入力スキーマ
{
"type": "object",
"properties": {
"conversation_id": {
"type": "string"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"required": [
"conversation_id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_hot_leads(days, include_warm, client)
Get all hot and warm leads with MEDDIC evidence. The morning briefing tool.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 7,
"type": "number",
"minimum": 1,
"maximum": 365
},
"include_warm": {
"default": true,
"type": "boolean"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_analytics_summary(days, client)
Dashboard-level overview: views, conversations, lead counts, conversion rate.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢search_by_intent(meddic_signals, min_intent_score, topic, days, client)
Find conversations matching specific MEDDIC signals, intent score, or topic.
入力スキーマ
{
"type": "object",
"properties": {
"meddic_signals": {
"type": "array",
"items": {
"type": "string",
"enum": [
"metrics",
"economic_buyer",
"decision_criteria",
"decision_process",
"identify_pain",
"champion"
]
}
},
"min_intent_score": {
"type": "number",
"minimum": 1,
"maximum": 5
},
"topic": {
"type": "string"
},
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_knowledge_gaps(days, topic, limit, client)
Surface unanswered questions from chatbot conversations, grouped by topic.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"topic": {
"type": "string"
},
"limit": {
"default": 20,
"type": "number",
"minimum": 1,
"maximum": 50
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_lead_enrichment(days, has_company, client)
Get extracted company, role, timeline, and budget context from conversations.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"has_company": {
"default": false,
"type": "boolean"
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meddic_summary(days, client)
Aggregate MEDDIC signal distribution across all conversations.
入力スキーマ
{
"type": "object",
"properties": {
"days": {
"default": 30,
"type": "number",
"minimum": 1,
"maximum": 365
},
"client": {
"description": "Agency only: target a managed client org by its id to query that client's data. Omit for your own.",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}コミュニティ
エビデンス
最近の観測
検証済みバージョンは記録されていませんツール 8 件
検証済みバージョンは記録されていませんツール 8 件