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Video Frame Extractor & Media Probe for AI Agents

Video Frame Extractor & Media Probe for AI Agents

Remote
apify.comMedia & Design0Updated 4d ago

About Video Frame Extractor & Media Probe for AI Agents

A remote media-probing server for AI agents that analyzes direct video or audio file links. It returns ffprobe metadata, selected frames and scene cuts, contact sheets, loudness measurements and MP3 audio.

Key features

  1. 01ffprobe metadata for media files
  2. 02Frames by time, interval or scene cut
  3. 03Contact sheets sized for vision models
  4. 04EBU R128 loudness and MP3 audio

Use cases

  1. 01Inspecting video properties and orientation
  2. 02Extracting frames for visual review
  3. 03Preparing video contact sheets
  4. 04Measuring audio loudness

MCP support

Exposes media probing through a remote, streamable HTTP MCP server. MCP clients can submit direct video or audio file links; platform pages such as YouTube, TikTok and Instagram are not supported.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com/?tools=fluidfaith/media-probe
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.apify.com/?tools=fluidfaith/media-probeAuth required

Tools

Details

From the project README

Video Frame Extractor & Media Probe for AI Agents

Direct video or audio file link in: ffprobe metadata (duration, codecs, resolution, fps, rotation, 9:16 check), frames at set times, every N seconds or at scene cuts, a contact sheet sized for vision models, EBU R128 loudness and MP3 audio. Direct file links only (no YouTube, TikTok or Instagram pages).

  • Apify Store: https://apify.com/fluidfaith/media-probe
  • MCP server (remote, streamable HTTP): https://mcp.apify.com/?tools=fluidfaith/media-probe
  • Price: $0.002 per file probed, $0.001 per frame, $0.005 per contact sheet. Failed items are free, and your maximum charge per run is never exceeded.

Claude Code, Cursor, VS Code (MCP config)

{
  "mcpServers": {
    "media-probe": {
      "url": "https://mcp.apify.com/?tools=fluidfaith/media-probe",
      "headers": { "Authorization": "Bearer ${APIFY_TOKEN}" }
    }
  }
}

Claude Code one-liner: claude mcp add --transport http media-probe "https://mcp.apify.com/?tools=fluidfaith/media-probe" --header "Authorization: Bearer $APIFY_TOKEN"

Python (apify-client)

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("fluidfaith/media-probe").call(run_input={"urls": ["https://example.com/video.mp4"], "frames": "count", "frameCount": 6})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

LangChain

from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("fluidfaith/media-probe")

JavaScript (apify-client)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fluidfaith/media-probe').call({"urls": ["https://example.com/video.mp4"], "frames": "count", "frameCount": 6});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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