Find, cut, and transcribe video clips for social media with per-job pricing
Transcribe and summarize audio or video files, identify and extract horizontal or vertical clips optimized for TikTok, Instagram Reels, and YouTube Shorts. Publish directly to YouTube with auto-generated captions. Pay per job via cryptocurrency or credit card.
Try asking Muse: "Find the best moments in my podcast recording and create a 60-second vertical clip for Instagram Reels"
Source: Found in the official MCP Registry (ai.weftly/weftly) · First listed September 24, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 3 h ago.
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://api.weftly.ai/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Weftly is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://api.weftly.ai/mcpResponse time at the last check: 311ms. Worked in 100% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
transcribeTranscribe 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 expirsummarizeSummarize 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_find_clipsSTART 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 canclips_from_jobCut 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 thedit_from_transcriptCut 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 parecomplete_uploadConfirm 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 retrieveget_job_statusCheck 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-candidatmpp_smoke_testSmoke-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. "Paypublish_to_youtubePublish an existing video from a transcribe or summarize job to YouTube, storing the caller-supplied OAuth token. Price: Free. The upload starts automatically — once payment settles, if a price applies — with no separate trigger step. Captions are auto-generated from the session edit_from_multiple_camerasAssemble one continuous edit from 2 camera files of the same event that started rolling at different moments. It syncs the cameras from their audio (a clap or sharp sound in the first 30 seconds of every file is the fallback), picks the camera that frames each voice by diarizatioclips_from_videoFind 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 https://api.weftly.ai/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Weftly to help me. It is a free service with an MCP server at https://api.weftly.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (November 13, 2026, 11:15 UTC) the endpoint was working, answering in 311ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 11 tools, including transcribe, summarize, find_clips, clips_from_job. For example, you could ask Muse: "Find the best moments in my podcast recording and create a 60-second vertical clip for Instagram Reels"
This listing was added from public sources (Found in the official MCP Registry (ai.weftly/weftly)). If you build Weftly, claim it to correct the details and get your badge.
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