MCP MeasureMCP Measure

인덱스 관측됨

Support Agent Admin by Nova (CIVAI)

I manage your Support Agent CRM, pipeline analytics, follow-ups, Leads Discovery, and workspace out…

사용해야 할까요

품질 및 안전성

B
설명 품질
89%
스키마 완전성
83%
이름 품질
64%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (73)

  • LOWTool 'support_agent_admin__get_agent' description lacks action verbsupport_agent_admin__get_agent에서
  • LOWTool 'support_agent_admin__get_agent_analytics' description lacks action verbsupport_agent_admin__get_agent_analytics에서
  • LOWTool 'support_agent_admin__set_session_labels' description lacks action verbsupport_agent_admin__set_session_labels에서
  • LOWTool 'support_agent_admin__bulk_set_session_labels' description lacks action verbsupport_agent_admin__bulk_set_session_labels에서
  • LOWTool 'support_agent_admin__compose_bulk_draft' description lacks action verbsupport_agent_admin__compose_bulk_draft에서
  • LOWTool 'google_sheets__converse' description lacks action verbgoogle_sheets__converse에서
  • LOWTool 'google_docs__converse' description lacks action verbgoogle_docs__converse에서
  • LOWTool 'google_calendar__converse' description lacks action verbgoogle_calendar__converse에서
  • LOWTool 'support_agent_admin__list_agents' name length outside 3-30 rangesupport_agent_admin__list_agents에서
  • LOWTool 'support_agent_admin__list_top_agents' name length outside 3-30 rangesupport_agent_admin__list_top_agents에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~6,112토큰 (도구 정의)
~561 B일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 4.78%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "support-agent-admin": {
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}

원격 엔드포인트

https://nova.civai.co/mcp/agents/support-agent-adminstreamable-http

할 수 있는 일

도구 목록

도구 (84)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢support_agent_admin__list_agents(order_by)

List all Support Agents for the signed-in owner.

입력 스키마

{
  "type": "object",
  "properties": {
    "order_by": {
      "type": "string"
    }
  }
}
🟢support_agent_admin__list_top_agents(limit, order_by)

List busiest CRM agents (limit 5–10).

입력 스키마

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    },
    "order_by": {
      "type": "string"
    }
  }
}
🟢support_agent_admin__get_agent(agent_id)

Return full agent metadata including chat/public/iframe links.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_agent_analytics(agent_id, top_visitors_limit)

Pipeline overview on one agent_id (totals + top visitors).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "top_visitors_limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__list_sessions(agent_id, filter_by, page, limit, created_from, ...)

Filtered drill-down on visitor sessions (requires filter_by).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "filter_by": {
      "type": "string"
    },
    "page": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    },
    "created_from": {
      "type": "string"
    },
    "created_to": {
      "type": "string"
    },
    "contact_type": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "filter_by"
  ]
}
🟢support_agent_admin__get_chat(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Open a lead chat by visitor_id, email, phone, or contact handle.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__pending_reply_count(agent_id, channels)

Count pending replies on an agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channels": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__create_agent(title, instructions, context, contact_option, bulk_followup_enabled, ...)

Create a new Support Agent for CRM/outreach.

입력 스키마

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "instructions": {
      "type": "string"
    },
    "context": {
      "type": "string"
    },
    "contact_option": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "bulk_followup_enabled": {
      "type": "boolean"
    },
    "theme": {
      "type": "string"
    },
    "inapp": {
      "type": "boolean"
    },
    "disable_ai_reply": {
      "type": "boolean"
    },
    "file_support": {
      "type": "boolean"
    },
    "allow_list": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "followup_email_message": {
      "type": "string"
    },
    "followup_whatsapp_message": {
      "type": "string"
    },
    "followup_instagram_message": {
      "type": "string"
    },
    "followup_x_message": {
      "type": "string"
    },
    "followup_telegram_message": {
      "type": "string"
    },
    "is_public": {
      "type": "boolean"
    },
    "public_slug": {
      "type": "string"
    },
    "public_description": {
      "type": "string"
    },
    "public_category_id": {
      "type": "integer"
    },
    "description": {
      "type": "string"
    }
  },
  "required": [
    "title",
    "contact_option"
  ]
}
🟡support_agent_admin__update_agent(agent_id, title, instructions, context, contact_option, ...)

Update Support Agent settings (partial patch — only send fields to change).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "instructions": {
      "type": "string"
    },
    "context": {
      "type": "string"
    },
    "contact_option": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "bulk_followup_enabled": {
      "type": "boolean"
    },
    "theme": {
      "type": "string"
    },
    "inapp": {
      "type": "boolean"
    },
    "disable_ai_reply": {
      "type": "boolean"
    },
    "file_support": {
      "type": "boolean"
    },
    "allow_list": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "followup_email_message": {
      "type": "string"
    },
    "followup_whatsapp_message": {
      "type": "string"
    },
    "followup_instagram_message": {
      "type": "string"
    },
    "followup_x_message": {
      "type": "string"
    },
    "followup_telegram_message": {
      "type": "string"
    },
    "is_public": {
      "type": "boolean"
    },
    "public_slug": {
      "type": "string"
    },
    "public_description": {
      "type": "string"
    },
    "public_category_id": {
      "type": "integer"
    },
    "description": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__delete_agent(agent_id)

Permanently delete a Support Agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪support_agent_admin__import_contacts(agent_id, channel, telegram_usernames, contacts, emails, ...)

Import contacts onto an agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "telegram_usernames": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "contacts": {
      "type": "string"
    },
    "emails": {
      "type": "string"
    },
    "whatsapp_numbers": {
      "type": "string"
    },
    "instagram_usernames": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
🟡support_agent_admin__send_message(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Send follow-up via WhatsApp, email, or Instagram.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    },
    "message": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
🟡support_agent_admin__send_followup(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Send follow-up via admin_followup channels.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    },
    "message": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
⚪support_agent_admin__bulk_followup(agent_id, message, visitor_ids, filter_by)

Bulk follow-up to filtered visitors.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "message": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "filter_by": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
🟢support_agent_admin__list_attachments(agent_id)

List knowledge-base attachments on a Support Agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_attachment_content(agent_id, attachment_id)

Read converted markdown or database schema summary for one attachment.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🟡support_agent_admin__upload_attachments(agent_id, files)

Upload files to agent KB (PDF/DOCX/TXT → prose; CSV/XLSX/SQLite → database).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "filename": {
            "type": "string"
          },
          "content_base64": {
            "type": "string"
          },
          "content_type": {
            "type": "string"
          }
        },
        "required": [
          "filename",
          "content_base64"
        ]
      },
      "maxItems": 10
    }
  },
  "required": [
    "agent_id",
    "files"
  ]
}
🟢support_agent_admin__regenerate_attachment(agent_id, attachment_id)

Re-process one attachment (re-convert or re-extract schema).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🔴support_agent_admin__delete_attachment(agent_id, attachment_id)

Delete one agent KB attachment.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🟢support_agent_admin__get_crm_unreplied_alert_config(agent_id)

Read CRM unreplied digest email settings.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__update_crm_unreplied_alert_config(agent_id, enabled, recipient_emails, min_unreplied)

Update CRM unreplied digest email settings.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "enabled": {
      "type": "boolean"
    },
    "recipient_emails": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "min_unreplied": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__upload_agent_icon(agent_id, content_base64, content_type)

Upload agent icon (JPEG/PNG/WebP, max 2MB, base64).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "content_base64": {
      "type": "string"
    },
    "content_type": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "content_base64"
  ]
}
⚪support_agent_admin__compose_draft(agent_id, visitor_id)

AI-compose a draft reply for one visitor session (Zap; does not send).

입력 스키마

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

Mark visitor conversation ended (stops IG/WA follow-ups).

입력 스키마

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

Resume a paused visitor conversation.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
🔴support_agent_admin__bulk_delete_sessions(agent_id, visitor_ids)

Delete multiple visitor sessions and their files.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_ids"
  ]
}
🟢support_agent_admin__list_session_labels(agent_id)

List visitor session label catalog for an agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__update_session_label(agent_id, label_id, disable_auto_reply)

Update catalog label (e.g. disable_auto_reply).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "label_id": {
      "type": "string"
    },
    "disable_auto_reply": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "label_id"
  ]
}
🟡support_agent_admin__set_session_labels(agent_id, visitor_id, labels)

Replace labels on one visitor session.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "labels": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
🟡support_agent_admin__bulk_set_session_labels(agent_id, visitor_ids, labels)

Merge labels onto multiple visitor sessions.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "labels": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_ids"
  ]
}
🟢support_agent_admin__list_channel_accounts(agent_id)

List available channel accounts for assignment (IG, X, Telegram, SMTP).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_whatsapp_account(agent_id, whatsapp_account_id)

Assign or remove WhatsApp Web account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "whatsapp_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_instagram_account(agent_id, instagram_account_id)

Assign or remove Instagram account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "instagram_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_x_account(agent_id, x_account_id)

Assign or remove X account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "x_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_telegram_account(agent_id, telegram_account_id)

Assign or remove Telegram account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "telegram_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_jiji_account(agent_id, jiji_account_id)

Assign or remove Jiji account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "jiji_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_smtp_account(agent_id, smtp_account_id)

Assign or remove SMTP account on agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "smtp_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__set_pool_mode(agent_id, channel, enabled)

Enable/disable pool fallback for x, instagram, or telegram channel.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "x",
        "instagram",
        "telegram"
      ]
    },
    "enabled": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel",
    "enabled"
  ]
}
🟢support_agent_admin__list_followup_runs(agent_id, limit)

List bulk follow-up runs for an agent.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_followup_run(agent_id, run_id)

Get one follow-up run with progress log.

입력 스키마

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

Resume an interrupted follow-up run.

입력 스키마

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

AI-compose shared bulk follow-up draft (agent voice only).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪support_agent_admin__preview_followup_email(agent_id, message, format, cta_label, cta_url, ...)

Preview rendered follow-up email HTML.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "message": {
      "type": "string"
    },
    "format": {
      "type": "string"
    },
    "cta_label": {
      "type": "string"
    },
    "cta_url": {
      "type": "string"
    },
    "image_url": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
⚪support_agent_admin__export_contacts(agent_id, contact_type, filter_by, created_from, created_to)

Export filtered contacts as CSV (returns csv_content in result).

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "contact_type": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "filter_by": {
      "type": "string"
    },
    "created_from": {
      "type": "string"
    },
    "created_to": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "contact_type"
  ]
}
⚪support_agent_admin__transfer_agent_owner(agent_id, new_owner_email)

Transfer agent ownership to another subscribed Nova user.

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "new_owner_email": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "new_owner_email"
  ]
}
⚪support_agent_admin__generate_agent_preview(business_name, business_description)

AI-generate agent title/instructions/context from business description.

입력 스키마

{
  "type": "object",
  "properties": {
    "business_name": {
      "type": "string"
    },
    "business_description": {
      "type": "string"
    }
  },
  "required": [
    "business_name",
    "business_description"
  ]
}
🟢support_agent_admin__list_connectors(agent_id)

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

입력 스키마

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

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

입력 스키마

{
  "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"
  ]
}
⚪support_agent_admin__run_scan(agent_id, channel, params)

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

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪support_agent_admin__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).

입력 스키마

{
  "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"
  ]
}
🟢support_agent_admin__list_scans(agent_id)

List past and active leads discovery scans for an agent.

입력 스키마

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

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

입력 스키마

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

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

입력 스키마

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

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

입력 스키마

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

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

입력 스키마

{
  "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"
  ]
}
🔴support_agent_admin__clear_discovery_cache(agent_id)

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

입력 스키마

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

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

입력 스키마

{
  "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"
  ]
}
🟢support_agent_admin__list_scan_schedules(agent_id)

List auto-scan schedules for an agent.

입력 스키마

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

Update or pause/resume an auto-scan schedule.

입력 스키마

{
  "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"
  ]
}
🔴support_agent_admin__delete_scan_schedule(agent_id, schedule_id)

Delete an auto-scan schedule.

입력 스키마

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

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

입력 스키마

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

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

입력 스키마

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "window": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡google_sheets__create_sheet(detail)

Run Google sheets action: create sheet

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_sheets__generate_sheet(detail)

Run Google sheets action: generate sheet

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_sheets__list_sheets(detail)

Run Google sheets action: list sheets

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_sheets__get_sheet(detail)

Run Google sheets action: get sheet

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟡google_sheets__update_sheet(detail)

Run Google sheets action: update sheet

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🔴google_sheets__delete_sheet(detail)

Run Google sheets action: delete sheet

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_sheets__converse(reply_hint)

Reply conversationally when the request is ambiguous or needs clarification.

입력 스키마

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}
🟡google_docs__create_doc(detail)

Run Google docs action: create doc

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_docs__list_docs(detail)

Run Google docs action: list docs

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_docs__get_doc(detail)

Run Google docs action: get doc

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_docs__rewrite_doc(detail)

Run Google docs action: rewrite doc

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🔴google_docs__delete_doc(detail)

Run Google docs action: delete doc

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_docs__converse(reply_hint)

Reply conversationally when the request is ambiguous or needs clarification.

입력 스키마

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}
🟡google_calendar__add_event(detail)

Run Google calendar action: add event

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_calendar__check_events_today(detail)

Run Google calendar action: check events today

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_calendar__check_events_week(detail)

Run Google calendar action: check events week

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_calendar__convert_timezone(detail)

Run Google calendar action: convert timezone

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟡google_calendar__update_event(detail)

Run Google calendar action: update event

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🔴google_calendar__delete_event(detail)

Run Google calendar action: delete event

입력 스키마

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_calendar__converse(reply_hint)

Reply conversationally when the request is ambiguous or needs clarification.

입력 스키마

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}
🟢deep_research__conduct-deep-research(topic, objective, breadth, depth, max_total_queries, ...)

Conduct deep, iterative research on a topic by generating multiple search queries, processing the results, and recursively exploring new research directions.

입력 스키마

{
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "The main topic or question to research"
    },
    "objective": {
      "type": "string",
      "description": "The specific goal or objective of the research"
    },
    "breadth": {
      "type": "integer",
      "description": "Number of search queries per research direction (1-5)",
      "default": 3,
      "minimum": 1,
      "maximum": 5
    },
    "depth": {
      "type": "integer",
      "description": "Depth of recursive exploration (0-2)",
      "default": 1,
      "minimum": 0,
      "maximum": 2
    },
    "max_total_queries": {
      "type": "integer",
      "description": "Maximum number of search queries to process (2-5)",
      "default": 2,
      "minimum": 2,
      "maximum": 5
    },
    "max_duration_seconds": {
      "type": "integer",
      "description": "Maximum duration for the research process in seconds (60-300)",
      "default": 120,
      "minimum": 60,
      "maximum": 300
    },
    "connection_id": {
      "type": "string",
      "description": "Optional connection ID for the user",
      "default": ""
    }
  },
  "required": [
    "topic",
    "objective"
  ]
}
⚪deep_research__generate-research-report(research_data, objective)

Generate a comprehensive research report from existing research data.

입력 스키마

{
  "type": "object",
  "properties": {
    "research_data": {
      "type": "string",
      "description": "The research data and findings to include in the report"
    },
    "objective": {
      "type": "string",
      "description": "The specific goal or objective of the report"
    }
  },
  "required": [
    "research_data",
    "objective"
  ]
}

권장 프롬프트

search_research
Search for information about [topic] using Support Agent Admin by Nova (CIVAI)
예상 도구: deep_research__conduct-deep-research
find_specific
Find [specific item] using Support Agent Admin by Nova (CIVAI)
예상 도구: deep_research__conduct-deep-research
retrieve_data
Get details about [item] from Support Agent Admin by Nova (CIVAI)
예상 도구: support_agent_admin__get_agent
fetch_info
Fetch [information type] using Support Agent Admin by Nova (CIVAI)
예상 도구: support_agent_admin__get_agent
list_items
List all [items] available in Support Agent Admin by Nova (CIVAI)
예상 도구: support_agent_admin__list_agents

커뮤니티

이 서버 평가하기

증거

최근 관측

검증됨버전이 기록되지 않음도구 84개
검증됨버전이 기록되지 않음도구 83개