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Leads Discovery Agent by Nova (CIVAI)

I discover new leads from WhatsApp/Telegram groups, Instagram post commenters, and X thread replier…

我該用這個嗎

品質與安全性

B
說明品質
90%
結構描述完整度
80%
命名品質
67%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目（10）

  • LOWTool 'leads_discovery__list_connectors' name length outside 3-30 range在 leads_discovery__list_connectors 中
  • LOWTool 'leads_discovery__suggest_targets' name length outside 3-30 range在 leads_discovery__suggest_targets 中
  • LOWTool 'leads_discovery__list_scan_results' name length outside 3-30 range在 leads_discovery__list_scan_results 中
  • LOWTool 'leads_discovery__clear_discovery_cache' name length outside 3-30 range在 leads_discovery__clear_discovery_cache 中
  • LOWTool 'leads_discovery__create_scan_schedule' name length outside 3-30 range在 leads_discovery__create_scan_schedule 中
  • LOWTool 'leads_discovery__list_scan_schedules' name length outside 3-30 range在 leads_discovery__list_scan_schedules 中
  • LOWTool 'leads_discovery__update_scan_schedule' name length outside 3-30 range在 leads_discovery__update_scan_schedule 中
  • LOWTool 'leads_discovery__delete_scan_schedule' name length outside 3-30 range在 leads_discovery__delete_scan_schedule 中
  • LOWTool 'leads_discovery__trigger_scan_schedule' name length outside 3-30 range在 leads_discovery__trigger_scan_schedule 中
  • LOWTool 'leads_discovery__get_discovery_analytics' name length outside 3-30 range在 leads_discovery__get_discovery_analytics 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,303Token（工具定義）
~597 B典型回應大小
中等的注意力影響（128k 上下文的 1.02%）

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": {
    "leads-discovery-agent": {
      "url": "https://nova.civai.co/mcp/agents/leads-discovery-agent"
    }
  }
}

遠端端點

https://nova.civai.co/mcp/agents/leads-discovery-agentstreamable-http

它能做什麼

工具清單

工具（16）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢leads_discovery__list_connectors(agent_id)

List WhatsApp, Instagram, Email, X connector status for a support agent.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪leads_discovery__suggest_targets(agent_id, channel, discovery_depth, discovery_breadth, min_followers, ...)

AI-propose Instagram or X @targets for a discovery scan (depth/breadth optional).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "instagram",
        "x"
      ]
    },
    "discovery_depth": {
      "type": "integer"
    },
    "discovery_breadth": {
      "type": "integer"
    },
    "min_followers": {
      "type": "integer"
    },
    "disable_hard_filter": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪leads_discovery__run_scan(agent_id, channel, params)

Start a leads discovery scan (whatsapp, instagram, x, telegram, or jiji).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪leads_discovery__continue_scan(agent_id, scan_id, selected_resources, max_contacts_per_group)

Continue a scan paused for selection (WhatsApp/Telegram groups or IG/X targets).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "selected_resources": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "max_contacts_per_group": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "selected_resources"
  ]
}
🟢leads_discovery__list_scans(agent_id)

List past and active leads discovery scans for an agent.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢leads_discovery__get_scan(agent_id, scan_id, offset, limit)

Get one scan with paginated leads (status, progress, leads).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🟢leads_discovery__list_scan_results(agent_id, scan_id, offset, limit)

Alias of get_scan — read leads from an active or completed scan.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🔴leads_discovery__delete_scans(agent_id, scan_ids)

Delete one or more completed scan runs (does not delete schedules).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "scan_ids"
  ]
}
⚪leads_discovery__import_leads(agent_id, scan_id, lead_ids, label, outreach)

Import discovered leads into the agent CRM (outreach: none|immediate|bulk_followup).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "lead_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "label": {
      "type": "string"
    },
    "outreach": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "lead_ids"
  ]
}
🔴leads_discovery__clear_discovery_cache(agent_id)

Clear Leads Discovery scan cache for an agent (seen handles / WA progress).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡leads_discovery__create_scan_schedule(agent_id, channel, params, frequency, auto_import, ...)

Create an auto-scan schedule (Import Only or Message now outreach).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "source_scan_id": {
      "type": "string"
    },
    "source_scan_at": {
      "type": "string"
    },
    "run_hour_utc": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
🟢leads_discovery__list_scan_schedules(agent_id)

List auto-scan schedules for an agent.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡leads_discovery__update_scan_schedule(agent_id, schedule_id, channel, params, frequency, ...)

Update or pause/resume an auto-scan schedule.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    },
    "run_hour_utc": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🔴leads_discovery__delete_scan_schedule(agent_id, schedule_id)

Delete an auto-scan schedule.

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
⚪leads_discovery__trigger_scan_schedule(agent_id, schedule_id)

Run an auto-scan schedule immediately (Run now).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🟢leads_discovery__get_discovery_analytics(agent_id, window)

Get sourced-leads analytics for an agent (window e.g. 7d, 30d).

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "window": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}

建議的提示詞

list_items
List all [items] available in Leads Discovery Agent by Nova (CIVAI)
預期的工具： leads_discovery__list_connectors
browse_collection
Show me the [collection] from Leads Discovery Agent by Nova (CIVAI)
預期的工具： leads_discovery__list_connectors
retrieve_data
Get details about [item] from Leads Discovery Agent by Nova (CIVAI)
預期的工具： leads_discovery__suggest_targets
fetch_info
Fetch [information type] using Leads Discovery Agent by Nova (CIVAI)
預期的工具： leads_discovery__suggest_targets
explore_workflow
List available [items], then get details for each one using Leads Discovery Agent by Nova (CIVAI)
預期的工具： leads_discovery__list_connectorsleads_discovery__suggest_targets

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已驗證未記錄版本16 個工具
已驗證未記錄版本16 個工具