Contendeo
Pipe any public video URL through transcription, vision, and OCR so your agent can summarize talks, demos, or competitor clips during research.
Overview
app.contendeo/contendeo is an Idea-phase MCP server that transcribes, visually analyzes, and OCR-scans video from URLs for agent-driven research.
What is this MCP server?
- 4 MCP tools: quick_transcribe, deep_analyze, clip_context, batch_analyze
- Multimodal stack: transcription plus vision and OCR on arbitrary video URLs
- OAuth2-secured Streamable HTTP endpoint at contendeo.app/mcp/
- Credit-based pricing with 10 free-tier credits in registry metadata
- Open-source server repo contendeo-mcp on GitHub (v0.1.0)
- 4 tools_exposed in registry metadata
- 10 free_tier_credits (publisher-provided)
- Server version 0.1.0
What problem does it solve?
You cannot efficiently quote, timestamp, or interpret on-screen content from videos while researching product or marketing ideas.
Who is it for?
Solo builders doing competitive and educational video research who already use MCP and accept a credit-based SaaS backend.
Skip if: Offline-only workflows, private DRM-heavy libraries, or teams that need guaranteed unlimited batch jobs without billing.
What do I get? / Deliverables
After OAuth setup, your agent returns transcripts and deep multimodal analyses you can cite in specs, FAQs, and content outlines.
- Transcripts and deeper multimodal analyses from quick_transcribe and deep_analyze
- Segment-focused clip_context summaries for citations
- Batch analyze results across multiple URLs in one agent workflow
Recommended MCP Servers
Journey fit
Multimodal video understanding is strongest when you are still exploring ideas, markets, and messaging from long-form video without building a custom pipeline. Research subphase covers extracting facts, quotes, and visuals from URLs before you commit to a prototype or landing page.
How it compares
Credit-based multimodal video MCP API, not a local ffmpeg transcription script or a single markdown skill.
Common Questions / FAQ
Who is app.contendeo/contendeo for?
Developers and founders who want their coding agent to analyze public video URLs with transcription, vision, and OCR during research sprints.
When should I use app.contendeo/contendeo?
Use it when validating ideas or drafting content from talks, tutorials, or competitor videos where manual scrubbing would slow you down.
How do I add app.contendeo/contendeo to my agent?
Register the Streamable HTTP remote https://contendeo.app/mcp/ in your MCP client, complete OAuth2 as specified in publisher metadata, then call tools like quick_transcribe or deep_analyze with video URLs.