Lumiqa Docs

list_content

Editorial read

What it does

Returns a paginated list of content items on the workspace board. Use it to find what's in editing, what's waiting for approval, what's already shipped — or to scope a downstream tool (e.g. analyze_video on every item in Attesa Approvazione).

Items are sorted by the soonest of posting_datedeadlinecreated_at so the queue surfaces what's urgent first.

Input schema

NameTypeRequiredDefaultDescription
status string optional Status filter (e.g. Attesa Approvazione, In Editing, Approvato, Da modificare, Postato).
limit number optional 50 Max rows to return. Hard cap is 200.

Example call

json{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "list_content",
    "arguments": {
      "status": "Attesa Approvazione",
      "limit": 25
    }
  }
}

Response shape

json{
  "items": [
    {
      "id": "c_abc123def456",
      "title": "CS — Reel 042",
      "brand": "CorpoSostenibile",
      "stato": "Attesa Approvazione",
      "editor_assigned": "[email protected]",
      "posting_date": "2026-05-23",
      "deadline": "2026-05-22"
    }
  ]
}

Each item is a thin row — full details (description, custom fields, attachments) come from get_content.

Usage from Claude Desktop

prompt"Show me everything waiting for approval — title, brand, deadline."

Claude picks list_content with { "status": "Attesa Approvazione" } and renders the table for you.

Usage from Python

pythonimport requests

LUMIQA = "https://lumiqa.io/mcp/your-slug"
HEADERS = {"Authorization": "Bearer lk_live_xxxxxxxxxxxx"}

r = requests.post(LUMIQA, headers=HEADERS, json={
    "jsonrpc": "2.0", "id": 1,
    "method": "tools/call",
    "params": {
        "name": "list_content",
        "arguments": {"status": "Attesa Approvazione", "limit": 25}
    },
})
import json
items = json.loads(r.json()["result"]["content"][0]["text"])["items"]
for it in items:
    print(it["id"], it["title"], it["deadline"])

Usage from Node

javascriptconst r = await fetch("https://lumiqa.io/mcp/your-slug", {
  method: "POST",
  headers: {
    "Authorization": "Bearer lk_live_xxxxxxxxxxxx",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    jsonrpc: "2.0", id: 1,
    method: "tools/call",
    params: {
      name: "list_content",
      arguments: { status: "Attesa Approvazione", limit: 25 },
    },
  }),
});
const { result } = await r.json();
const { items } = JSON.parse(result.content[0].text);
console.log(items.length, "items");

Required env vars / integrations

Known limitations