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Parsley - Buyer Intent Signals

Query buyer intent signals, MEDDIC qualifications, and lead scores from Parsley.

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品質與安全性

A
說明品質
90%
結構描述完整度
78%
命名品質
100%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,122Token（工具定義）
~1.1 KB典型回應大小
中等的注意力影響（128k 上下文的 0.88%）

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案：

{
  "mcpServers": {
    "parsley-mcp": {
      "command": "npx",
      "args": [
        "@tryparsley/mcp-server"
      ]
    }
  }
}

可執行的套件

npm@tryparsley/mcp-server0.1.2stdio

遠端端點

https://www.parsley.id/api/mcpstreamable-http

它能做什麼

工具清單

工具（8）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_conversations(days, lead_quality, intent_signal, limit, client)

List recent chatbot conversations with filtering by lead quality, intent signal, and date range.

輸入結構描述

{
  "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).

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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#"
}

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已驗證未記錄版本8 個工具
已驗證未記錄版本8 個工具