Weftly

{
  "id": "aix_97b2edddc8",
  "name": "Weftly",
  "operator": "(unclaimed - source: registry-official · publisher: ai.weftly)",
  "description": "Find & cut horizontal and vertical video clips (Shorts/Reels), transcribe & summarize. Pay per job.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-11-09",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "invoice-parsing",
    "sql-database",
    "summarize-docs",
    "voicemail-transcribe"
  ],
  "protocols": {
    "mcp": "https://api.weftly.ai/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1741,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 50,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-11-09T09:00:44.032Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://weftly.ai/"
    },
    {
      "label": "repository",
      "url": "https://github.com/woven-record-media/weftly-monorepo"
    }
  ],
  "avatar": "https://github.com/woven-record-media.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/woven-record-media"
    }
  ],
  "profile": {
    "mcp_server": "weftly",
    "mcp_version": "0.38.0",
    "tool_count": 10,
    "tools": [
      {
        "name": "transcribe",
        "description": "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 bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns two outputs: role `transcript` (SRT) and role `transcript-words` (JSON matching /.well-known/weftly-transcript-v2.schema.json, with segment-level and per-word timestamps). For other formats, pass"
      },
      {
        "name": "summarize",
        "description": "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_credential` to receive {upload_url} (presigned PUT, 1h expiry); (3) PUT the bytes, then complete_upload(job_id), then poll get_job_status(job_id). On completion, get_job_status returns three outputs: role `summary` (plain text), role `transcript` (SRT), and role `transcript-words` (JSON matching /.well-k"
      },
      {
        "name": "find_clips",
        "description": "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 video — what to cut for highlights, social, or testimonials. Three-call flow: (1) call with `filename` (and optional `query`) 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 bytes, t"
      },
      {
        "name": "clips_from_job",
        "description": "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 Weftly before; use this tool whenever a video job already exists. Two choices are required on every new job, with no default — if the customer's intent is genuinely ambiguous, ask rather than guess: `orientation` (`horizontal` keeps the source framing; `vertical` crops to 9:16 for TikTok/Reels/Shor"
      },
      {
        "name": "edit_from_transcript",
        "description": "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` is the capability, no upload step. Get the editable text first via get_job_status(job_id, format: \"edit\") or the download route — one `[NNNN]`-marked line per sentence — then edit it in any text editor: delete words or whole lines, move whole lines, but do not add or change a word (a marker used twic"
      },
      {
        "name": "complete_upload",
        "description": "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 done."
      },
      {
        "name": "get_job_status",
        "description": "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 inline as `content`; larger outputs — `transcript-words` JSON for any non-trivial recording, plus video outputs like `clip-video` / `clip-vertical-video` — come as a `download_url` to fetch when needed. Optionally pass `format` (srt, txt, vtt, json, words, edit) to get the transcript content inline"
      },
      {
        "name": "mpp_smoke_test",
        "description": "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 receive {paid: true, timestamp, receipt_ref, payment_method}. Uses the exact same `createPayToAddress` + `createMppHandler` verification path as paid product tools (transcribe, summarize), so a green run here means real paid calls will work too. Stateless — no job is created, no database row written. U"
      },
      {
        "name": "edit_from_multiple_cameras",
        "description": "Assemble 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 diarization, and renders one video at the main camera's resolution and fps (1080p ceiling). Three calls: (1) call with `inputs` (array of `{filename, name?}`, index 0 = the main camera) to receive {job_id, payment_challenge}. (2) After payment, call again with `job_id` (+ `payment_credential` on the MPP rail) to receive `upload_"
      },
      {
        "name": "clips_from_video",
        "description": "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 hold (up to $4.50) before the final price is known (the total depends on how many clips are found and delivered), a shape MPP push settlement cannot express. A caller with no card-checkout capability (a wallet-only MPP agent) should NOT call this tool — call find_clips then clips_from_job instead, p"
      }
    ],
    "profiled_at": "2026-11-09T09:00:44.032Z"
  },
  "unreachable": false,
  "payment_method": "open"
}