quick_transcribeLABSCO SUMMARY
For video where the screen carries the information.
The tool split is really a cost decision: quick_transcribe at 1 credit is right for a podcast, and wrong for anything with a chart in it. clip_context is the one to reach for on long content — it charges flat per call regardless of the video's length, so a 90-minute talk costs the same as a 5-minute one.
What it is
A remote MCP server that downloads a video, transcribes it, extracts keyframes, runs OCR and analyses the visuals, then returns one structured document. It exists because transcripts capture what was said and miss what was shown: chart values, UI states, code on screen, dashboard numbers.
What you get
- quick_transcribe — timestamped transcript with speaker identification, audio only. 1 credit; typically 5–15 seconds for a 10-minute video
- deep_analyze — the full pipeline: transcript plus keyframe vision plus OCR, returned as summary, key claims with timestamps, visual assets with extracted data, and entities. 5 credits; typically 30–90 seconds
- clip_context — analyse one time range without paying for the whole video. 1 credit in quick mode, 3 in deep
- batch_analyze — up to 10 videos in parallel with cross-video synthesis, priced per video with 10% off at 5 or more
focusondeep_analyzetunes the vision prompts towardtechnicalorcryptowithout changing the credit cost- URLs from YouTube, Instagram Reels, Vimeo, Twitter/X, TikTok and direct MP4, WebM or MOV
Requirements
No local install — connect a client to https://contendeo.app/mcp/ and complete OAuth 2.0 in the browser on first use. New accounts start with 10 free credits and no card. Beyond that: Pro at $12/mo for 100 credits, Power at $39/mo for 500, or pay-as-you-go at $0.15 per credit. Cache hits cost nothing and failed analyses refund automatically. Videos over roughly 20 minutes can approach the client-side request timeout on deep_analyze — use clip_context on the segments that matter instead.
Setup effort
One command — claude mcp add --transport http contendeo https://contendeo.app/mcp/
USE CASES
01
Pulling the numbers off a dashboard demo
Run the full pipeline so OCR and vision capture what the transcript never mentions.
02
Reading one segment of a long video
Analyse just that time range instead of paying for the whole thing.
03
Making a voice-only recording searchable
Transcribe with timestamps and speaker identification.
04
Comparing what several videos claim
Process them together and read the cross-video synthesis.
4 tools
Listed in project docs. Your client may show a different list.
deep_analyzeclip_contextbatch_analyzeBEFORE YOU INSTALL
What to know first
Tools you get
4 tools named in the project's documentation.
Requires
A client that can reach a remote MCP server over HTTP
Where it runs
Both documented clients connect to a hosted endpoint.
INSTALLATION
Connect your client
Server setup
claude mcp add
Claude Code
TERMINAL
claude mcp add --transport http contendeo https://contendeo.app/mcp/Hosted endpoint
ENDPOINT URL
https://contendeo.app/mcp/Add this hosted endpoint to your MCP client.
MCP Clients
Cursor
CURSOR · JSON
{
"mcpServers": {
"contendeo": {
"url": "https://contendeo.app/mcp/"
}
}
}
