INDIVIDUAL MCP TOOL

crm_leads_without_task

Open leads with no unfinished task against them — the follow-up leak.

boardroom-ai.aenone authenticationAvailability not checked

LIVE ENDPOINT

https://control.boardroom-ai.ae/mcp

No auth detected

Connect to this endpoint to inspect the live schema for crm_leads_without_task and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.boardroom-control-revenue]
url = "https://control.boardroom-ai.ae/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "boardroom-control-revenue": {
      "type": "http",
      "url": "https://control.boardroom-ai.ae/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: boardroom-control-revenue
Remote MCP URL: https://control.boardroom-ai.ae/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "boardroom-control-revenue": {
      "url": "https://control.boardroom-ai.ae/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "boardroom-control-revenue": {
      "type": "http",
      "url": "https://control.boardroom-ai.ae/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "boardroom-control-revenue",
  "transport": "streamable-http",
  "url": "https://control.boardroom-ai.ae/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

whoami — Who this token is, which workspace it can read, and which scopes it carries.
crm_list_leads — Leads in this workspace, newest activity first.
crm_get_lead — One lead in full — unmasked contact details, notes, events, stage history and open tasks.
crm_pipeline_overview — Every pipeline and stage with its lead count and total value.
ad_attribution — Which advertisement produced which conversation: ad id, creative, first-touch flag, and the lead it bound to.
agent_conversations — Conversations the AI agent handled, with intent, language, message count and the deal they bound to.
agent_get_conversation — One conversation with its transcript — what the customer wrote and what the agent answered.
dashboard_snapshot — The workspace's own KPI contract as the dashboard renders it, with the time it was built.