Multimodal video analysis MCP β transcription, vision, and OCR for any video URL.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Contendeo.
quick_transcribeTimestamped transcript with speaker identification. Audio-only. Fast.
deep_analyzeFull multimodal pipeline β transcript + keyframe vision + OCR, unified output.
clip_contextAnalyze a specific timestamp range without paying for the full video.
batch_analyzeProcess up to 10 videos in parallel with cross-video synthesis.
Give your agent eyes.
Contendeo is the multimodal layer that lets your AI actually see video β not just read its transcript.
Contendeo is a remote MCP server that gives LLMs frame-level context from video β transcription, keyframe vision analysis, OCR, and structured output, unified into a single response your agent can reason over.
Paste a YouTube, Instagram Reels, Vimeo, Twitter/X, TikTok, or direct video URL into Claude (or any MCP client). Contendeo downloads, transcribes, extracts keyframes, runs OCR, analyzes visuals, and returns a structured document.
Live at contendeo.app. MCP endpoint at contendeo.app/mcp/.
Transcripts capture what was said. They don't capture what was shown β chart values, UI states, overlays, code on screen, circled regions, dashboard numbers. For any video where the visual layer carries information (trading tutorials, product demos, technical walkthroughs, data dashboards, design reviews), transcript-only analysis misses half the signal.
Contendeo closes that gap.
See the side-by-side comparison at contendeo.app/demo.
Four tools exposed over MCP. Credit costs charged per successful call. Cache hits are free.
| Tool | Credits | What it does |
|---|---|---|
quick_transcribe | 1 | Timestamped transcript with speaker identification. Audio-only. Fast. |
deep_analyze | 5 | Full multimodal pipeline β transcript + keyframe vision + OCR, unified output. |
clip_context | 1 (quick) / 3 (deep) | Analyze a specific timestamp range without paying for the full video. |
batch_analyze | per-video, β10% at 5+ | Process up to 10 videos in parallel with cross-video synthesis. |
Full schemas and response formats: docs/tools.md.
Contendeo is a remote MCP server β no local install, no package download. Connect via URL from your MCP client.
Add to your claude_desktop_config.json:
Claude will walk you through OAuth on first use.
Any client that supports remote MCP servers over streamable HTTP. Point it at https://contendeo.app/mcp/.
Full walkthrough with screenshots: docs/installation.md.
Contendeo uses OAuth 2.0. First use flow:
New accounts get 10 free credits. No card required.
Details: docs/authentication.md.
| Plan | Price | Credits | Notes |
|---|---|---|---|
| Free | $0 | 10 on signup | All 4 tools, no card |
| Pro | $12/mo (βΉ999) | 100/mo | Priority queue, rollover to 200 |
| Power | $39/mo (βΉ3,299) | 500/mo | Batch, webhooks, rollover to 1000 |
| PAYG | $0.15/credit | on demand | No subscription |
Cache hits are free. Failed analyses auto-refund.
Details: docs/pricing.md.
Under the hood:
docs/Questions, bug reports, feature requests: open an issue.
Commercial/partnership inquiries: @0xKaroshi on X.
MIT β covers this wrapper repo (documentation, examples, manifest). The production server source is not open-sourced.
See LICENSE.
Contendeo β every frame, every word, every edge.
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