extract clip

Cut and assemble a clip from any prior video job (find_clips, summarize, or video transcribe). Operates on a parent job — possessing the parent `source_job_id`

liveunknown~5s typical

mcpweftly

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-weftly-weftly /extract_clip for me.

Input

Field	Type	Description
source_job_id	string	Job ID of any prior video job (find_clips, summarize, or video transcribe). Possessing thi
segments	array	Ordered array of source-relative segments to cut and concatenate into the output. Single s
include_transcript	boolean	Default true. When true, the pipeline writes clip-srt + clip-words outputs stitched to mat
title	string	Optional title for the assembled clip. Surfaces in get_job_status and download filenames;
job_id	string	Job ID returned from a previous extract_clip call. Include along with payment_credential t
payment_credential	string	MPP payment credential (full Authorization header value, e.g. "Payment eyJ..."). extract_c

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-weftly-weftly","endpoint":"/extract_clip","input":{}}'

cli

npx cracked-ai run -p mcp-ai-weftly-weftly -e /extract_clip -i '{}'

mcp

run_tool({ provider: "mcp-ai-weftly-weftly", endpoint: "/extract_clip", input: {} })

Try it

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