Contendeo

Multimodal video analysis MCP.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Quick Transcribe: TRANSCRIPTION ONLY (no visual analysis). For vision, OCR, charts, or keyframe analysis, use deep_analyze instead. Returns timestamped transcript with speaker labels. Supports YouTube
  • Deep Analyze: PRIMARY tool for video understanding. Full multimodal pipeline: transcript + visual keyframe analysis + OCR + chart/diagram extraction. Returns unified analysis with Summary, Key Claims,
  • Clip Context: Analyze a specific segment of a video by timestamp range. Default is full multimodal analysis (transcript + vision + OCR, 3 credits). Pass mode='quick' for transcript-only (1 credit). Us

What data it sees

Do you need an account

No: the server works without sign-in

Multimodal video analysis MCP. Extracts transcripts, OCR text, and visual chart data from YouTube, Vimeo, and Instagram. 10 free credits to start.

Transcripts capture half the signal. When a speaker says "look at this chart" and points at a number on screen, a transcript-only tool loses the data. Contendeo returns it.

Contendeo is a true multimodal video analysis MCP server. We process the actual video frames alongside the audio to give your LLM complete context. Our pipeline (yt-dlp → ffmpeg → Groq Whisper → Tesseract OCR → Claude Vision) extracts timestamped transcripts, keyframe descriptions, and hard OCR data into one structured output.

Works with YouTube, Instagram Reels, Vimeo, Twitter/X, TikTok, and direct video URLs.

Four tools:

  • quick_transcribe — fast audio transcription with speaker labels (1 credit)
  • deep_analyze — full multimodal extraction: transcript + visual keyframe analysis + OCR + chart/diagram data (5 credits)
  • clip_context — analyze a specific timestamp range without processing the full video (1–3 credits)
  • batch_analyze — parallel processing of up to 10 videos with cross-video synthesis

Pricing & Free Tier: Pay only for processing. Cache hits are free, and failures are refunded automatically. Get 10 free credits on signup, no card required. Create your account at contendeo.app.

How to connect

How to connect Contendeo to Claude

The server address to paste into Claude settings:

https://contendeo--highcryptoclub.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Contendeo to ChatGPT

The server address to paste into ChatGPT settings:

https://contendeo--highcryptoclub.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Contendeo to Cursor

The server address to paste into Cursor settings:

https://contendeo--highcryptoclub.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (4)

Raw names from tools/list. Only developers need these.

quick_transcribeTRANSCRIPTION ONLY (no visual analysis). For vision, OCR, charts, or keyframe analysis, use deep_analyze instead. Returns timestamped transcript with speaker labels. Supports YouTube, Instagram Reels, Vimeo, Twitter/X, TikTok, and direct video URLs. Costs 1 credit.
deep_analyzePRIMARY tool for video understanding. Full multimodal pipeline: transcript + visual keyframe analysis + OCR + chart/diagram extraction. Returns unified analysis with Summary, Key Claims, Visual Assets, Data Extracted, Entities Mentioned. Costs 5 credits.
clip_contextAnalyze a specific segment of a video by timestamp range. Default is full multimodal analysis (transcript + vision + OCR, 3 credits). Pass mode='quick' for transcript-only (1 credit). Use when you only need a section, not the full video.
batch_analyzeProcess multiple videos and get cross-video synthesis. Max 10 URLs. Returns individual results plus common themes, entity overlap, and contradictions. Credit cost is per-video rate with 10% discount on 5+ videos.