MCP server

Weftly Official

ai.weftly/weftly

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Find & cut horizontal and vertical video clips (Shorts/Reels), transcribe & summarize. Pay per job.

Website Source

At a glance

Type

MCP server

Publisher

weftly.ai (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 6,321 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.weftly]
url = "https://api.weftly.ai/mcp"

Gemini CLI

{"mcpServers":{"weftly":{"httpUrl":"https://api.weftly.ai/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add weftly https://api.weftly.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"weftly","server_url":"https://api.weftly.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"weftly","server_url":"https://api.weftly.ai/mcp"}

Tools

• clips_from_job ~935 tokens
  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
• clips_from_video ~824 tokens
  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
• complete_upload ~216 tokens
  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
• edit_from_transcript ~775 tokens
  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
• find_clips ~996 tokens
  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
• get_job_status ~871 tokens
  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
• mpp_smoke_test ~341 tokens
  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
• summarize ~700 tokens
  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
• transcribe ~663 tokens
  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

Browse

• Stripe tools
• Social media
• Payments
• Hiring and jobs
• Databases

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