Contendeo
Contendeo is a multimodal MCP server that gives AI agents frame-level context from videos—transcription, keyframe vision analysis, OCR, and structured output—so they can analyze what's shown, not just what's said.
README
Contendeo
Give your agent eyes.
Contendeo is the multimodal layer that lets your AI actually see video — not just read its transcript.
What it is
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. MCP endpoint at contendeo.app/mcp/.
Why it exists
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.
Tools
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.
Installation
Contendeo is a remote MCP server — no local install, no package download. Connect via URL from your MCP client.
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"contendeo": {
"url": "https://contendeo.app/mcp/"
}
}
}
Claude will walk you through OAuth on first use.
Claude Code
claude mcp add --transport http contendeo https://contendeo.app/mcp/
Other MCP clients (Cursor, Continue, Cline, etc.)
Any client that supports remote MCP servers over streamable HTTP. Point it at https://contendeo.app/mcp/.
Full walkthrough with screenshots: docs/installation.md.
Authentication
Contendeo uses OAuth 2.0. First use flow:
- Your MCP client initiates a connection
- Browser redirect to contendeo.app sign-in (Google OAuth or email)
- Approve the MCP client
- Bearer token issued, client reconnects, tools become available
New accounts get 10 free credits. No card required.
Details: docs/authentication.md.
Pricing
| 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.
Stack
Under the hood:
- yt-dlp — video download across 1000+ sites
- Apify — Instagram Reels fetching
- Webshare — residential proxy pool for YouTube anti-bot
- ffmpeg — audio extraction + keyframe scene detection
- Groq Whisper (large-v3) — transcription
- Tesseract OCR — deterministic text extraction from frames
- Claude Vision (Sonnet 4.6) — visual frame analysis
- Supabase — auth + Postgres
- Redis — URL-hash result cache
- FastAPI + MCP Python SDK — server, streamable HTTP transport
- Traefik — SSL termination + routing
Links
- Landing — contendeo.app
- Demo — contendeo.app/demo
- MCP endpoint — contendeo.app/mcp/
- Dashboard — contendeo.app/dashboard
- Docs —
docs/ - Server card — contendeo.app/.well-known/mcp/server-card.json
Support
Questions, bug reports, feature requests: open an issue.
Commercial/partnership inquiries: @0xKaroshi on X.
License
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.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。