Contendeo

app.contendeoPublished by contendeo.appOfficial publisherv0.1.0Updated Oct 24, 2026

Multimodal video analysis MCP — transcription, vision, and OCR for any video URL.

VerifiedStreamable HTTPWeb executableMedia & DesignAI & ML

Overview

AI-generated overview

Remote MCP server that lets an assistant transcribe, visually analyze and OCR videos from a URL, returning one structured document.

What you can do
Transcribe a video with timestamps and speaker identification (audio only). Run a full multimodal pass combining transcript, keyframe vision analysis and OCR into one structured output. Analyze only a chosen timestamp range instead of the whole video. Process up to ten videos in parallel with cross-video synthesis.
When to use it
Useful when the visual layer of a video carries information a transcript misses, such as on-screen charts, dashboards, UI states, code or circled regions, for example in trading tutorials, product demos, technical walkthroughs or design reviews.
Requirements
A remote streamable HTTP endpoint; no local install. OAuth 2.0 sign-in through a browser (Google or email) on first use, then a bearer token. A paid credit balance beyond the free signup credits for heavier use.
Before you install
Calls consume credits, charged per successful call, with subscription or pay-as-you-go plans; failed analyses are said to be refunded. Video URLs are fetched by the service, which uses third-party downloaders, proxies and model providers, so submitted links and derived content leave your machine. OAuth grants the client access to your account.

Installation

In SourceWeft

  1. Open Contendeo in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/app.contendeo%2Fcontendeo/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "contendeo": {
      "type": "http",
      "url": "https://contendeo.app/mcp/"
    }
  }
}

README

Contendeo

Give your agent eyes.

Contendeo is the multimodal layer that lets your AI actually see video — not just read its transcript.

[MCP Compatible] [License: MIT] [Status: Live] [Smithery]

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.

ToolCreditsWhat it does
quick_transcribe1Timestamped transcript with speaker identification. Audio-only. Fast.
deep_analyze5Full multimodal pipeline — transcript + keyframe vision + OCR, unified output.
clip_context1 (quick) / 3 (deep)Analyze a specific timestamp range without paying for the full video.
batch_analyzeper-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:

json
{  "mcpServers": {    "contendeo": {      "url": "https://contendeo.app/mcp/"    }  }}

Claude will walk you through OAuth on first use.

Claude Code

bash
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:

  1. Your MCP client initiates a connection
  2. Browser redirect to contendeo.app sign-in (Google OAuth or email)
  3. Approve the MCP client
  4. Bearer token issued, client reconnects, tools become available

New accounts get 10 free credits. No card required.

Details: docs/authentication.md.

Pricing

PlanPriceCreditsNotes
Free$010 on signupAll 4 tools, no card
Pro$12/mo (₹999)100/moPriority queue, rollover to 200
Power$39/mo (₹3,299)500/moBatch, webhooks, rollover to 1000
PAYG$0.15/crediton demandNo 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

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.

Source: README.md at commit fac117c

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts