INDIVIDUAL MCP TOOL

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.

weftly.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://api.weftly.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for edit_from_transcript and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

weftly.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

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

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "weftly",
  "transport": "streamable-http",
  "url": "https://api.weftly.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

transcribe — Transcribe audio or video to text, including per-word timestamps for precise editing.
summarize — Summarize an audio or video file — returns both a text summary AND the full transcript (with per-word timestamps).
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.
clips_from_job — Cut one or more clips from any prior video job (find_clips, summarize, or video transcribe).
complete_upload — Confirm that the file has been uploaded (via HTTP PUT to the upload_url from transcribe or summarize) and start processing.
get_job_status — Check the status of a transcribe or summarize job.
mpp_smoke_test — Smoke-test the MPP payment plumbing end-to-end via this MCP server, for $0.
clips_from_video — Find clips in a video AND cut up to 5 of them, under ONE payment.