Metrics Snapshot

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READffmpeg.metrics_snapshot

• Contract tier: agent_ready
• Risk: read
• Catalog version: 2026-07-12.3
• Descriptor hash: e73941a10b1923db207f4e963232abe8337ba9feb35cae540e537918ef5d8557

Use this to inspect local FFmpeg queue depth and aggregate runtime counters for operational diagnosis. It is read-only and returns no credentials.

Request Body

{
  "jsonrpc": "2.0",
  "id": "ffmpeg-metrics-snapshot-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.metrics_snapshot",
    "arguments": {}
  }
}

Arguments Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "queue_depth"
  ],
  "properties": {
    "queue_depth": {
      "type": "object",
      "description": "Current queue depth keyed by configured queue name.",
      "additionalProperties": true
    }
  },
  "additionalProperties": true
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "ffmpeg-metrics-snapshot-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.metrics_snapshot",
    "arguments": {}
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "ffmpeg-metrics-snapshot-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.metrics_snapshot",
    "arguments": {}
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "ffmpeg-metrics-snapshot-example",
  "method": "tools/call",
  "params": {
    "name": "ffmpeg.metrics_snapshot",
    "arguments": {}
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool ffmpeg.metrics_snapshot executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}