Weftly

not graded

Transcribe and summarize audio and video. Pay per job via Stripe or crypto.

About this server

ai.weftly/weftly transcribes and summarizes audio and video with pay per job via Stripe or crypto. It uses streamable-http transport. Tools include transcribe, summarize, find_clips, clips_from_job, edit_from_transcript, complete_upload, get_job_status and mpp_smoke_test.

Categories: crypto

Remote URL: https://api.weftly.ai/mcp

Repository: Repository

Transport: streamable-http

First seen: 2026-10-17T23:06:01 Last seen: 2026-10-20T08:40:07

30-day uptime: 1.0%

Verified data

Not yet checked — owners can claim this listing to enable price-accuracy checks

Tools

Name	Description	Input keys
transcribe	Transcribe audio or video to text, including per-word timestamps for precise editing. Three-call flow: (1) call with `filename` to receive {job_id, payment_challenge}; (2) pay via MPP, then call with `job_id` + `payment_credential` to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the byte	filename, job_id, payment_credential
summarize	Summarize an audio or video file — returns both a text summary AND the full transcript (with per-word timestamps). Do not also call transcribe on the same file. Three-call flow: (1) call with `filename` to receive {job_id, payment_challenge}; (2) pay via MPP, then call with `job_id` + `payment_crede	filename, job_id, payment_credential
find_clips	START HERE for any clip workflow on a video — `find_clips` is the canonical entry point and includes a full transcription as a free byproduct. Do not call `transcribe` first: doing so doubles the upload, doubles the spend, and produces the same transcript. Identify ranked candidate clips in a vi	filename, job_id, payment_credential, query
clips_from_job	Cut one or more clips from any prior video job (find_clips, summarize, or video transcribe). Operates on a parent job — possessing the parent `source_job_id` is the capability, no upload step. Contrast with `clips_from_video`, which takes a local `filename` and uploads a video that has never been in	captions, clips, include_transcript, job_id, orientation, output, payment_credential, profile, source_job_id, subject
edit_from_transcript	Cut and re-assemble a video from an edited copy of its own word-level transcript — the text-editing counterpart to clips_from_job's timestamp-based cutting. Operates on a parent job (find_clips, summarize, or video transcribe) that has a word-level transcript; possessing the parent `source_job_id` i	edited_transcript, job_id, payment_credential, source_job_id, title
complete_upload	Confirm that the file has been uploaded (via HTTP PUT to the upload_url from transcribe or summarize) and start processing. Verifies that the file is present in storage and that the job has been paid. Returns status "processing". Poll get_job_status to track progress and retrieve download URLs when	job_id
get_job_status	Check the status of a transcribe or summarize job. Returns the current state and, when completed, an `outputs` array. Each output has either `content` (returned inline) or a presigned, time-limited (1 hour) `download_url`. Small text outputs (e.g. `transcript` SRT, `clip-candidates`, `summary`) come	format, job_id
mpp_smoke_test	Smoke-test the MPP payment plumbing end-to-end via this MCP server, for $0.01 USDC. Two-call flow: (1) call with no arguments to receive an MPP `payment_challenge`; (2) pay via MPP and call again with `payment_credential` set to the resulting Authorization header value (e.g. "Payment eyJ...") to rec	payment_credential
clips_from_video	Find clips in a video AND cut up to 5 of them, under ONE payment. This is the alternative to calling find_clips and then clips_from_job yourself — prefer it whenever the user wants clips delivered end-to-end from a video they have not yet uploaded. CARD PAYMENT ONLY — this chain authorizes a Stripe	captions, content_type, filename, job_id, job_type, orientation, query, thread_id

Issues

No issues found

Install

claude mcp add --transport http weftly https://api.weftly.ai/mcp

{
  "mcpServers": {
    "weftly": {
      "type": "http",
      "url": "https://api.weftly.ai/mcp"
    }
  }
}

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