# Support Agent Admin by Nova (CIVAI) (remote · nova.civai.co)

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

- Trust score: 73/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-25

## Components

- remote · `nova.civai.co`: 73/100 (this document), [markdown](https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin.md), [page](https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin)

## Channel facts

- Endpoint: `https://nova.civai.co/mcp/agents/support-agent-admin`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-25.

- **Endpoint Security**: 83/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation is enforced on tool calls, but the challenge carries no valid RFC 9728 metadata, so a client cannot discover where to get a token.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 76/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (fair).
  - Tool/resource definitions use about 4271 tokens (~50/item across 84 items; 83 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 13/100
  - Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 13% of tool parameters carry a description.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 12 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "support_agent_admin__delete_agent" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default.
  - An AI judge read all 84 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the Support Agent Admin by Nova (CIVAI) MCP server?

Support Agent Admin by Nova (CIVAI) is a hosted endpoint at https://nova.civai.co/mcp/agents/support-agent-admin, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http co-civai-nova-support-agent-admin 'https://nova.civai.co/mcp/agents/support-agent-admin'
```

### Cursor

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

### VS Code

```json
{
  "servers": {
    "co-civai-nova-support-agent-admin": {
      "type": "http",
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
```

### Codex

```toml
[mcp_servers.co-civai-nova-support-agent-admin]
url = "https://nova.civai.co/mcp/agents/support-agent-admin"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "co-civai-nova-support-agent-admin": {
      "type": "remote",
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add co-civai-nova-support-agent-admin --url 'https://nova.civai.co/mcp/agents/support-agent-admin' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  co-civai-nova-support-agent-admin:
    url: "https://nova.civai.co/mcp/agents/support-agent-admin"
```

### Netclaw

```json
{
  "McpServers": {
    "co-civai-nova-support-agent-admin": {
      "Transport": "http",
      "Url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
```

### Vellum

```bash
assistant mcp add co-civai-nova-support-agent-admin -t streamable-http -u 'https://nova.civai.co/mcp/agents/support-agent-admin'
```

### Other

```json
{
  "mcpServers": {
    "co-civai-nova-support-agent-admin": {
      "type": "http",
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-25 (score 73, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-23 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-22 (score 71, +2)

- [functional improvement] Stability: unverified → 0.03
- [functional] First check of Schema quality: 100
- [functional] New resource “SKILLS.md”

### 2026-09-21 (score 69)

First indexed and scored.

## MCP tools (83)

### `support_agent_admin__list_agents` (~30 tokens)

List all Support Agents for the signed-in owner.

Input parameters:

- `order_by` (string)

### `support_agent_admin__list_top_agents` (~39 tokens)

List busiest CRM agents (limit 5–10).

Input parameters:

- `limit` (integer)
- `order_by` (string)

### `support_agent_admin__get_agent` (~31 tokens)

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

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__get_agent_analytics` (~45 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `top_visitors_limit` (integer)

### `support_agent_admin__list_sessions` (~78 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `contact_type` (string)
- `created_from` (string)
- `created_to` (string)
- `filter_by` (string, required)
- `limit` (integer)
- `page` (integer)

### `support_agent_admin__get_chat` (~89 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `contact` (string): Generic contact from analytics/list_sessions (email, phone, or @instagram).
- `instagram_username` (string)
- `visitor_email` (string)
- `visitor_id` (string)
- `whatsapp_no` (string)

### `support_agent_admin__pending_reply_count` (~35 tokens)

Count pending replies on an agent.

Input parameters:

- `agent_id` (string, required)
- `channels` (string)

### `support_agent_admin__create_agent` (~194 tokens)

Create a new Support Agent for CRM/outreach.

Input parameters:

- `allow_list` (array)
- `bulk_followup_enabled` (boolean)
- `contact_option` (string, required)
- `context` (string)
- `description` (string)
- `disable_ai_reply` (boolean)
- `file_support` (boolean)
- `followup_email_message` (string)
- `followup_instagram_message` (string)
- `followup_telegram_message` (string)
- `followup_whatsapp_message` (string)
- `followup_x_message` (string)
- `inapp` (boolean)
- `instructions` (string)
- `is_public` (boolean)
- `public_category_id` (integer)
- `public_description` (string)
- `public_slug` (string)
- `theme` (string)
- `title` (string, required)

### `support_agent_admin__update_agent` (~206 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `allow_list` (array)
- `bulk_followup_enabled` (boolean)
- `contact_option` (string)
- `context` (string)
- `description` (string)
- `disable_ai_reply` (boolean)
- `file_support` (boolean)
- `followup_email_message` (string)
- `followup_instagram_message` (string)
- `followup_telegram_message` (string)
- `followup_whatsapp_message` (string)
- `followup_x_message` (string)
- `inapp` (boolean)
- `instructions` (string)
- `is_public` (boolean)
- `public_category_id` (integer)
- `public_description` (string)
- `public_slug` (string)
- `theme` (string)
- `title` (string)

### `support_agent_admin__delete_agent` (~27 tokens)

Permanently delete a Support Agent.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__import_contacts` (~73 tokens)

Import contacts onto an agent.

Input parameters:

- `agent_id` (string, required)
- `channel` (string, required)
- `contacts` (string)
- `emails` (string)
- `instagram_usernames` (array)
- `telegram_usernames` (array)
- `whatsapp_numbers` (string)

### `support_agent_admin__send_message` (~92 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `contact` (string): Generic contact from analytics/list_sessions (email, phone, or @instagram).
- `instagram_username` (string)
- `message` (string, required)
- `visitor_email` (string)
- `visitor_id` (string)
- `whatsapp_no` (string)

### `support_agent_admin__send_followup` (~90 tokens)

Send follow-up via admin_followup channels.

Input parameters:

- `agent_id` (string, required)
- `contact` (string): Generic contact from analytics/list_sessions (email, phone, or @instagram).
- `instagram_username` (string)
- `message` (string, required)
- `visitor_email` (string)
- `visitor_id` (string)
- `whatsapp_no` (string)

### `support_agent_admin__bulk_followup` (~51 tokens)

Bulk follow-up to filtered visitors.

Input parameters:

- `agent_id` (string, required)
- `filter_by` (string)
- `message` (string, required)
- `visitor_ids` (array)

### `support_agent_admin__list_attachments` (~30 tokens)

List knowledge-base attachments on a Support Agent.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__get_attachment_content` (~40 tokens)

Read converted markdown or database schema summary for one attachment.

Input parameters:

- `agent_id` (string, required)
- `attachment_id` (string, required)

### `support_agent_admin__upload_attachments` (~52 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `files` (array, required)

### `support_agent_admin__regenerate_attachment` (~43 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `attachment_id` (string, required)

### `support_agent_admin__delete_attachment` (~34 tokens)

Delete one agent KB attachment.

Input parameters:

- `agent_id` (string, required)
- `attachment_id` (string, required)

### `support_agent_admin__get_crm_unreplied_alert_config` (~34 tokens)

Read CRM unreplied digest email settings.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__update_crm_unreplied_alert_config` (~60 tokens)

Update CRM unreplied digest email settings.

Input parameters:

- `agent_id` (string, required)
- `enabled` (boolean)
- `min_unreplied` (integer)
- `recipient_emails` (array)

### `support_agent_admin__upload_agent_icon` (~56 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `content_base64` (string, required)
- `content_type` (string)

### `support_agent_admin__compose_draft` (~45 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `visitor_id` (string, required)

### `support_agent_admin__end_conversation` (~42 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `visitor_id` (string, required)

### `support_agent_admin__resume_conversation` (~35 tokens)

Resume a paused visitor conversation.

Input parameters:

- `agent_id` (string, required)
- `visitor_id` (string, required)

### `support_agent_admin__bulk_delete_sessions` (~37 tokens)

Delete multiple visitor sessions and their files.

Input parameters:

- `agent_id` (string, required)
- `visitor_ids` (array, required)

### `support_agent_admin__list_session_labels` (~30 tokens)

List visitor session label catalog for an agent.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__update_session_label` (~49 tokens)

Update catalog label (e.g. disable_auto_reply).

Input parameters:

- `agent_id` (string, required)
- `disable_auto_reply` (boolean)
- `label_id` (string, required)

### `support_agent_admin__set_session_labels` (~43 tokens)

Replace labels on one visitor session.

Input parameters:

- `agent_id` (string, required)
- `labels` (array)
- `visitor_id` (string, required)

### `support_agent_admin__bulk_set_session_labels` (~44 tokens)

Merge labels onto multiple visitor sessions.

Input parameters:

- `agent_id` (string, required)
- `labels` (array)
- `visitor_ids` (array, required)

### `support_agent_admin__list_channel_accounts` (~36 tokens)

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

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__assign_whatsapp_account` (~41 tokens)

Assign or remove WhatsApp Web account on agent.

Input parameters:

- `agent_id` (string, required)
- `whatsapp_account_id` (string)

### `support_agent_admin__assign_instagram_account` (~39 tokens)

Assign or remove Instagram account on agent.

Input parameters:

- `agent_id` (string, required)
- `instagram_account_id` (string)

### `support_agent_admin__assign_x_account` (~38 tokens)

Assign or remove X account on agent.

Input parameters:

- `agent_id` (string, required)
- `x_account_id` (string)

### `support_agent_admin__assign_telegram_account` (~39 tokens)

Assign or remove Telegram account on agent.

Input parameters:

- `agent_id` (string, required)
- `telegram_account_id` (string)

### `support_agent_admin__assign_smtp_account` (~39 tokens)

Assign or remove SMTP account on agent.

Input parameters:

- `agent_id` (string, required)
- `smtp_account_id` (string)

### `support_agent_admin__set_pool_mode` (~49 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `channel` (string, required)
- `enabled` (boolean, required)

### `support_agent_admin__list_followup_runs` (~38 tokens)

List bulk follow-up runs for an agent.

Input parameters:

- `agent_id` (string, required)
- `limit` (integer)

### `support_agent_admin__get_followup_run` (~39 tokens)

Get one follow-up run with progress log.

Input parameters:

- `agent_id` (string, required)
- `run_id` (string, required)

### `support_agent_admin__resume_followup_run` (~37 tokens)

Resume an interrupted follow-up run.

Input parameters:

- `agent_id` (string, required)
- `run_id` (string, required)

### `support_agent_admin__compose_bulk_draft` (~34 tokens)

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

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__preview_followup_email` (~69 tokens)

Preview rendered follow-up email HTML.

Input parameters:

- `agent_id` (string, required)
- `cta_label` (string)
- `cta_url` (string)
- `format` (string)
- `image_url` (string)
- `message` (string, required)

### `support_agent_admin__export_contacts` (~64 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `contact_type` (string, required)
- `created_from` (string)
- `created_to` (string)
- `filter_by` (string)

### `support_agent_admin__transfer_agent_owner` (~39 tokens)

Transfer agent ownership to another subscribed Nova user.

Input parameters:

- `agent_id` (string, required)
- `new_owner_email` (string, required)

### `support_agent_admin__generate_agent_preview` (~41 tokens)

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

Input parameters:

- `business_description` (string, required)
- `business_name` (string, required)

### `support_agent_admin__list_connectors` (~37 tokens)

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

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__suggest_targets` (~83 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `channel` (string, required)
- `disable_hard_filter` (boolean)
- `discovery_breadth` (integer)
- `discovery_depth` (integer)
- `min_followers` (integer)

### `support_agent_admin__run_scan` (~50 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `channel` (string, required)
- `params` (object)

### `support_agent_admin__continue_scan` (~63 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `max_contacts_per_group` (integer)
- `scan_id` (string, required)
- `selected_resources` (array, required)

### `support_agent_admin__list_scans` (~32 tokens)

List past and active leads discovery scans for an agent.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__get_scan` (~56 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `limit` (integer)
- `offset` (integer)
- `scan_id` (string, required)

### `support_agent_admin__list_scan_results` (~57 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `limit` (integer)
- `offset` (integer)
- `scan_id` (string, required)

### `support_agent_admin__delete_scans` (~42 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `scan_ids` (array, required)

### `support_agent_admin__import_leads` (~71 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `label` (string)
- `lead_ids` (array, required)
- `outreach` (string)
- `scan_id` (string, required)

### `support_agent_admin__clear_discovery_cache` (~37 tokens)

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

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__create_scan_schedule` (~145 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `auto_import` (boolean)
- `auto_outreach` (string)
- `channel` (string, required)
- `enabled` (boolean)
- `frequency` (string)
- `label` (string)
- `max_leads_per_run` (integer)
- `max_runs` (integer)
- `params` (object)
- `relax_target_filter_after_runs` (integer)
- `run_hour_utc` (integer)
- `source_scan_at` (string)
- `source_scan_id` (string)

### `support_agent_admin__list_scan_schedules` (~31 tokens)

List auto-scan schedules for an agent.

Input parameters:

- `agent_id` (string, required)

### `support_agent_admin__update_scan_schedule` (~132 tokens)

Update or pause/resume an auto-scan schedule.

Input parameters:

- `agent_id` (string, required)
- `auto_import` (boolean)
- `auto_outreach` (string)
- `channel` (string)
- `enabled` (boolean)
- `frequency` (string)
- `label` (string)
- `max_leads_per_run` (integer)
- `max_runs` (integer)
- `params` (object)
- `relax_target_filter_after_runs` (integer)
- `run_hour_utc` (integer)
- `schedule_id` (string, required)

### `support_agent_admin__delete_scan_schedule` (~36 tokens)

Delete an auto-scan schedule.

Input parameters:

- `agent_id` (string, required)
- `schedule_id` (string, required)

### `support_agent_admin__trigger_scan_schedule` (~40 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `schedule_id` (string, required)

### `support_agent_admin__get_discovery_analytics` (~51 tokens)

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

Input parameters:

- `agent_id` (string, required)
- `window` (string)

### `google_sheets__create_sheet` (~33 tokens)

Run Google sheets action: create sheet

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__generate_sheet` (~33 tokens)

Run Google sheets action: generate sheet

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__list_sheets` (~34 tokens)

Run Google sheets action: list sheets

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__get_sheet` (~33 tokens)

Run Google sheets action: get sheet

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__update_sheet` (~33 tokens)

Run Google sheets action: update sheet

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__delete_sheet` (~33 tokens)

Run Google sheets action: delete sheet

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_sheets__converse` (~38 tokens)

Reply conversationally when the request is ambiguous or needs clarification.

Input parameters:

- `reply_hint` (string): Optional hint for the conversational reply.

### `google_docs__create_doc` (~32 tokens)

Run Google docs action: create doc

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_docs__list_docs` (~32 tokens)

Run Google docs action: list docs

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_docs__get_doc` (~32 tokens)

Run Google docs action: get doc

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_docs__rewrite_doc` (~32 tokens)

Run Google docs action: rewrite doc

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_docs__delete_doc` (~32 tokens)

Run Google docs action: delete doc

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_docs__converse` (~37 tokens)

Reply conversationally when the request is ambiguous or needs clarification.

Input parameters:

- `reply_hint` (string): Optional hint for the conversational reply.

### `google_calendar__add_event` (~32 tokens)

Run Google calendar action: add event

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__check_events_today` (~34 tokens)

Run Google calendar action: check events today

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__check_events_week` (~34 tokens)

Run Google calendar action: check events week

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__convert_timezone` (~32 tokens)

Run Google calendar action: convert timezone

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__update_event` (~32 tokens)

Run Google calendar action: update event

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__delete_event` (~32 tokens)

Run Google calendar action: delete event

Input parameters:

- `detail` (string): Task-specific details from the objective.

### `google_calendar__converse` (~37 tokens)

Reply conversationally when the request is ambiguous or needs clarification.

Input parameters:

- `reply_hint` (string): Optional hint for the conversational reply.

### `deep_research__conduct-deep-research` (~157 tokens)

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

Input parameters:

- `breadth` (integer): Number of search queries per research direction (1-5)
- `connection_id` (string): Optional connection ID for the user
- `depth` (integer): Depth of recursive exploration (0-2)
- `max_duration_seconds` (integer): Maximum duration for the research process in seconds (60-300)
- `max_total_queries` (integer): Maximum number of search queries to process (2-5)
- `objective` (string, required): The specific goal or objective of the research
- `topic` (string, required): The main topic or question to research

### `deep_research__generate-research-report` (~57 tokens)

Generate a comprehensive research report from existing research data.

Input parameters:

- `objective` (string, required): The specific goal or objective of the report
- `research_data` (string, required): The research data and findings to include in the report

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin#diagnostics

## Score history

- 2026-09-25: 73
- 2026-09-24: 72
- 2026-09-23: 72
- 2026-09-22: 71
- 2026-09-21: 69

## Common questions

### What is the Support Agent Admin by Nova (CIVAI) MCP server?

Support Agent Admin by Nova (CIVAI) is an MCP server listed in the public MCP registry as co.civai.nova/support-agent-admin. I manage your Support Agent CRM, pipeline analytics, follow-ups, Leads Discovery, and workspace out… This page covers its hosted endpoint (https://nova.civai.co/mcp/agents/support-agent-admin).

### Is the Support Agent Admin by Nova (CIVAI) MCP server safe to use?

Support Agent Admin by Nova (CIVAI) scores 73 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Support Agent Admin by Nova (CIVAI) MCP server expose?

Support Agent Admin by Nova (CIVAI) exposes 83 tools: support_agent_admin__list_agents, support_agent_admin__list_top_agents, support_agent_admin__get_agent, support_agent_admin__get_agent_analytics, support_agent_admin__list_sessions, and 78 more. Their descriptions and schemas cost roughly 4,240 tokens of context every time the server is loaded.

### Does the Support Agent Admin by Nova (CIVAI) MCP server require authentication?

Yes. Support Agent Admin by Nova (CIVAI) asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

### Is the Support Agent Admin by Nova (CIVAI) MCP server still maintained?

Support Agent Admin by Nova (CIVAI) is still listed as active in the MCP registry. We last reached this channel on 25 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://nova.civai.co/mcp/agents/support-agent-admin
- Website: https://nova.civai.co/agent/support-agent-admin
- Changelog RSS feed: https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin.xml
- Changelog JSON feed: https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin.json
- HTML version of this page: https://verifymcp.io/servers/co-civai-nova-support-agent-admin/mcp-agents-support-agent-admin