Contendeo Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Contendeo Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Give your agent eyes.
Contendeo is the multimodal layer that lets your AI actually see video — not just read its transcript.
Contendeo is a remote MCP server that gives LLMs frame-level context from video — 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](https://contendeo.app). MCP endpoint at [contendeo.app/mcp/](https://contendeo.app/mcp/).
Transcripts capture what was said. They don't capture what was shown — 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](https://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 — 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, −10% 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 — no local install, no package download. Connect via URL from your MCP client.
Add to your claude_desktop_config.json:
{
"mcpServers": {
"contendeo": {
"url": "https://contendeo.app/mcp/"
}
}
}Claude will walk you through OAuth on first use.
claude mcp add --transport http contendeo https://contendeo.app/mcp/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 (₹999) | 100/mo | Priority queue, rollover to 200 |
| Power | $39/mo (₹3,299) | 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 — covers this wrapper repo (documentation, examples, manifest). The production server source is not open-sourced.
See LICENSE.
Contendeo — every frame, every word, every edge.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.