Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Support Agent Admin by Nova (CIVAI)

REMOTE · NOVA.CIVAI.CO · SCANNED SEP 25

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

Available components

73 Trust /100
Trust breakdown (7 categories)

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. How we score → Why this is hard to score →

Endpoint Security83
Transport & Reachability100
Schema Quality & AI Usability76
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 4271 tokens (~50/item across 84 items; 83 tools + 1 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management13
  • Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 13% of tool parameters carry a description.Partial
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 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. See how to fix → Fail
  • An AI judge read all 84 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.

remote · nova.civai.co

# add to Claude Code
claude mcp add --transport http co-civai-nova-support-agent-admin 'https://nova.civai.co/mcp/agents/support-agent-admin'
// .cursor/mcp.json
{
  "mcpServers": {
    "co-civai-nova-support-agent-admin": {
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "co-civai-nova-support-agent-admin": {
      "type": "http",
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
# ~/.codex/config.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
    }
  }
}
# add to OpenClaw
openclaw mcp add co-civai-nova-support-agent-admin --url 'https://nova.civai.co/mcp/agents/support-agent-admin' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  co-civai-nova-support-agent-admin:
    url: "https://nova.civai.co/mcp/agents/support-agent-admin"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "co-civai-nova-support-agent-admin": {
      "Transport": "http",
      "Url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}
# add to Vellum
assistant mcp add co-civai-nova-support-agent-admin -t streamable-http -u 'https://nova.civai.co/mcp/agents/support-agent-admin'
// mcp.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 we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 25 Sept 26 +1
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 23 Sept 26 +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.

  • 22 Sept 26 +2
    • Stability: unverified → 0.03 ▲ functional
    • First check of Schema quality: 100 functional
    • New resource “SKILLS.md” functional
  • 21 Sept 26 69

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 25 Sept 2026 · Probed https://nova.civai.co/mcp/agents/support-agent-admin

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=api.vearn.co CN=YR1,O=Let's Encrypt,C=US 29 Jul 2026 27 Oct 2026 RSA 2048 SHA256-RSA 69ba14a46afe8487a6de1ca14b4952874a3
SANs: allegedly-api.crypvestai.cloud, allegedly.crypvestai.cloud, api.agi.civai.co, api.browser.civai.co, api.nova.civai.co, api.vearn.co, app.browsergpt.co, app.vearn.co, audience-resolver-api.civai.co, audience-resolver.civai.co, audience.civai.co, floodmap-api.civai.co and 6 more
CN=YR1,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA a20253f15f2691c05dc1ce13b9bcca4e
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of nova.civai.co. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
co. present 7786 8 Verified
civai.co. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Challenged, unverified

The endpoint asked for a token, but we could not retrieve and validate the RFC 9728 metadata that tells a client how to obtain one.

Result Challenged, unverified
Enforced On tool calls
HTTP status 200

Protected resource metadata

Retrieved No
Problem no_resource_metadata

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://nova.civai.co/mcp/agents/support-agent-admin Verified 200
http (plaintext) http://nova.civai.co/mcp/agents/support-agent-admin HTTPS enforced 301 https://nova.civai.co/mcp/agents/support-agent-admin
MCP tools · 83 exposed · ~4,240 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
deep_research__conduct-deep-research ~157

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

NameTypeReqDescription
breadthinteger–Number of search queries per research direction (1-5)
connection_idstring–Optional connection ID for the user
depthinteger–Depth of recursive exploration (0-2)
max_duration_secondsinteger–Maximum duration for the research process in seconds (60-300)
max_total_queriesinteger–Maximum number of search queries to process (2-5)
objectivestringyesThe specific goal or objective of the research
topicstringyesThe main topic or question to research

No output schema declared.

No examples provided.

deep_research__generate-research-report ~57

Generate a comprehensive research report from existing research data.

NameTypeReqDescription
objectivestringyesThe specific goal or objective of the report
research_datastringyesThe research data and findings to include in the report

No output schema declared.

No examples provided.

google_calendar__add_event ~32

Run Google calendar action: add event

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_calendar__check_events_today ~34

Run Google calendar action: check events today

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_calendar__check_events_week ~34

Run Google calendar action: check events week

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_calendar__converse ~37

Reply conversationally when the request is ambiguous or needs clarification.

NameTypeReqDescription
reply_hintstring–Optional hint for the conversational reply.

No output schema declared.

No examples provided.

google_calendar__convert_timezone ~32

Run Google calendar action: convert timezone

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_calendar__delete_event ~32

Run Google calendar action: delete event

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_calendar__update_event ~32

Run Google calendar action: update event

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_docs__converse ~37

Reply conversationally when the request is ambiguous or needs clarification.

NameTypeReqDescription
reply_hintstring–Optional hint for the conversational reply.

No output schema declared.

No examples provided.

google_docs__create_doc ~32

Run Google docs action: create doc

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_docs__delete_doc ~32

Run Google docs action: delete doc

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_docs__get_doc ~32

Run Google docs action: get doc

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_docs__list_docs ~32

Run Google docs action: list docs

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_docs__rewrite_doc ~32

Run Google docs action: rewrite doc

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__converse ~38

Reply conversationally when the request is ambiguous or needs clarification.

NameTypeReqDescription
reply_hintstring–Optional hint for the conversational reply.

No output schema declared.

No examples provided.

google_sheets__create_sheet ~33

Run Google sheets action: create sheet

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__delete_sheet ~33

Run Google sheets action: delete sheet

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__generate_sheet ~33

Run Google sheets action: generate sheet

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__get_sheet ~33

Run Google sheets action: get sheet

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__list_sheets ~34

Run Google sheets action: list sheets

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

google_sheets__update_sheet ~33

Run Google sheets action: update sheet

NameTypeReqDescription
detailstring–Task-specific details from the objective.

No output schema declared.

No examples provided.

support_agent_admin__assign_instagram_account ~39

Assign or remove Instagram account on agent.

NameTypeReqDescription
agent_idstringyes–
instagram_account_idstring––

No output schema declared.

No examples provided.

support_agent_admin__assign_smtp_account ~39

Assign or remove SMTP account on agent.

NameTypeReqDescription
agent_idstringyes–
smtp_account_idstring––

No output schema declared.

No examples provided.

support_agent_admin__assign_telegram_account ~39

Assign or remove Telegram account on agent.

NameTypeReqDescription
agent_idstringyes–
telegram_account_idstring––

No output schema declared.

No examples provided.

support_agent_admin__assign_whatsapp_account ~41

Assign or remove WhatsApp Web account on agent.

NameTypeReqDescription
agent_idstringyes–
whatsapp_account_idstring––

No output schema declared.

No examples provided.

support_agent_admin__assign_x_account ~38

Assign or remove X account on agent.

NameTypeReqDescription
agent_idstringyes–
x_account_idstring––

No output schema declared.

No examples provided.

support_agent_admin__bulk_delete_sessions ~37

Delete multiple visitor sessions and their files.

NameTypeReqDescription
agent_idstringyes–
visitor_idsarrayyes–

No output schema declared.

No examples provided.

support_agent_admin__bulk_followup ~51

Bulk follow-up to filtered visitors.

NameTypeReqDescription
agent_idstringyes–
filter_bystring––
messagestringyes–
visitor_idsarray––

No output schema declared.

No examples provided.

support_agent_admin__bulk_set_session_labels ~44

Merge labels onto multiple visitor sessions.

NameTypeReqDescription
agent_idstringyes–
labelsarray––
visitor_idsarrayyes–

No output schema declared.

No examples provided.

support_agent_admin__clear_discovery_cache ~37

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

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__compose_bulk_draft ~34

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

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__compose_draft ~45

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

NameTypeReqDescription
agent_idstringyes–
visitor_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__continue_scan ~63

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

NameTypeReqDescription
agent_idstringyes–
max_contacts_per_groupinteger––
scan_idstringyes–
selected_resourcesarrayyes–

No output schema declared.

No examples provided.

support_agent_admin__create_agent ~194

Create a new Support Agent for CRM/outreach.

NameTypeReqDescription
allow_listarray––
bulk_followup_enabledboolean––
contact_optionstringyes–
contextstring––
descriptionstring––
disable_ai_replyboolean––
file_supportboolean––
followup_email_messagestring––
followup_instagram_messagestring––
followup_telegram_messagestring––
followup_whatsapp_messagestring––
followup_x_messagestring––
inappboolean––
instructionsstring––
is_publicboolean––
public_category_idinteger––
public_descriptionstring––
public_slugstring––
themestring––
titlestringyes–

No output schema declared.

No examples provided.

support_agent_admin__create_scan_schedule ~145

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

NameTypeReqDescription
agent_idstringyes–
auto_importboolean––
auto_outreachstring––
channelstringyes–
enabledboolean––
frequencystring––
labelstring––
max_leads_per_runinteger––
max_runsinteger––
paramsobject––
relax_target_filter_after_runsinteger––
run_hour_utcinteger––
source_scan_atstring––
source_scan_idstring––

No output schema declared.

No examples provided.

support_agent_admin__delete_agent ~27

Permanently delete a Support Agent.

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__delete_attachment ~34

Delete one agent KB attachment.

NameTypeReqDescription
agent_idstringyes–
attachment_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__delete_scan_schedule ~36

Delete an auto-scan schedule.

NameTypeReqDescription
agent_idstringyes–
schedule_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__delete_scans ~42

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

NameTypeReqDescription
agent_idstringyes–
scan_idsarrayyes–

No output schema declared.

No examples provided.

support_agent_admin__end_conversation ~42

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

NameTypeReqDescription
agent_idstringyes–
visitor_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__export_contacts ~64

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

NameTypeReqDescription
agent_idstringyes–
contact_typestringyes–
created_fromstring––
created_tostring––
filter_bystring––

No output schema declared.

No examples provided.

support_agent_admin__generate_agent_preview ~41

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

NameTypeReqDescription
business_descriptionstringyes–
business_namestringyes–

No output schema declared.

No examples provided.

support_agent_admin__get_agent ~31

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

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__get_agent_analytics ~45

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

NameTypeReqDescription
agent_idstringyes–
top_visitors_limitinteger––

No output schema declared.

No examples provided.

support_agent_admin__get_attachment_content ~40

Read converted markdown or database schema summary for one attachment.

NameTypeReqDescription
agent_idstringyes–
attachment_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__get_chat ~89

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

NameTypeReqDescription
agent_idstringyes–
contactstring–Generic contact from analytics/list_sessions (email, phone, or @instagram).
instagram_usernamestring––
visitor_emailstring––
visitor_idstring––
whatsapp_nostring––

No output schema declared.

No examples provided.

support_agent_admin__get_crm_unreplied_alert_config ~34

Read CRM unreplied digest email settings.

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

support_agent_admin__get_discovery_analytics ~51

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

NameTypeReqDescription
agent_idstringyes–
windowstring––

No output schema declared.

No examples provided.

support_agent_admin__get_followup_run ~39

Get one follow-up run with progress log.

NameTypeReqDescription
agent_idstringyes–
run_idstringyes–

No output schema declared.

No examples provided.

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.