Fieldscribe

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 7, 2026

Transcribe public audio and video URLs to clean text and SRT, with job tracking.

已驗證STDIO僅桌面效率與工作流媒體與設計

概覽

AI 產生的概覽

本機橋接工具,連接託管轉錄服務,把公開的音訊與影片連結轉成文字或 SRT,並追蹤任務進度。

可以做什麼
  • 提交公開的影片或音訊連結進行逐字轉錄,立即回傳任務 ID
  • 查詢任務狀態與中繼資料,並在完成後取得完整轉錄文字
  • 依時間倒序列出帳號下的所有轉錄任務
  • 永久刪除已完成或出錯的任務及其儲存的文字
適用情境
適合讓助理不必離開對話,就能把公開的 YouTube 影片、播客節目或講座錄音轉成文字,並在之後追蹤或清理這些任務。
執行需求
以 stdio 本機程序執行,可透過 npx 或 Docker 映像啟動;需要能連線到上游轉錄服務的網路。可選擇設定 FIELDTRANSCRIPT_MCP_URL 覆寫上游位址,設定 FIELDTRANSCRIPT_API_KEY 以向上游送出 Bearer 權杖;未設定金鑰時不會送出驗證標頭。
安裝前請注意
提交會在呼叫者帳號上建立任務,可能消耗該帳號的額度或點數。delete_job 會永久刪除已完成任務及其儲存文字,無法復原。提交的連結會轉送給第三方託管服務,請勿使用私有或內部連結。若設定了 API 金鑰,該金鑰會傳送到上游位址。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Fieldscribe,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

fieldscribe

fieldscribe is a small local bridge to FieldTranscript's hosted MCP server, a transcription service that turns public audio and video files into text. You hand it a URL — a YouTube video, a podcast episode, a lecture recording — and it runs the transcription as a job in the background: submitting returns a job id immediately, the job takes roughly one to ten minutes, and polling the job eventually yields the finished transcript as clean text or SRT, depending on what the upstream returns.

The bridge keeps no transcripts and no job state of its own. It serves the upstream server's tool list locally, exactly as captured from the live endpoint, and forwards each tool call upstream, returning the result untouched. One tool in the captured surface deletes — delete_job permanently removes a finished job and its stored text — and one creates work: submit_transcription starts a new transcription job on the caller's account. Everything else reads.

Tools

  • submit_transcription — submit a public video or audio URL (YouTube etc.) for verbatim transcription. Returns a job_id immediately. Required: url. Transcription takes about 1-10 minutes; poll get_job every 30-60 seconds until the status is done. Not for private or internal URLs.
  • get_job — check one transcription job: its status (queued, working, done or error) and metadata. Required: job_id. Optional: include_transcript (default false) — set it only once the status is done and the full text is actually needed, because transcripts of long videos are large.
  • list_jobs — list all transcription jobs on your account, newest first. No arguments.
  • delete_job — permanently delete a finished (done or errored) transcription job and its stored text. Required: job_id. Refused while the job is queued or running, and it cannot be undone.

Configuration

  • FIELDTRANSCRIPT_MCP_URL (optional) — override the upstream endpoint. Defaults to https://mcp.fieldtranscript.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)
  • FIELDTRANSCRIPT_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer <key> header. When it is not set, no auth header is sent. (This forwarding is also a labelled reconstruction; the original surface was captured keyless.)

Forwarding mechanics

On the first tool call the client opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name fieldscribe), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. When the upstream answers initialize with an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.

Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with fieldscribe error: (this rendering is this rebuild's own labelled reconstruction).

CLI

Each tool is also a subcommand taking one JSON argument string (omit it for tools that take none):

bash
npx @reneturcios/fieldscribe submit_transcription '{"url":"https://www.youtube.com/watch?v=abc123"}'npx @reneturcios/fieldscribe get_job '{"job_id":"job-7"}'npx @reneturcios/fieldscribe get_job '{"job_id":"job-7","include_transcript":true}'npx @reneturcios/fieldscribe list_jobsnpx @reneturcios/fieldscribe delete_job '{"job_id":"job-7"}'npx @reneturcios/fieldscribe --version

Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.

MCP server

bash
npx -y @reneturcios/fieldscribe mcp

MCP client config:

json
{  "mcpServers": {    "fieldscribe": {      "command": "npx",      "args": ["-y", "@reneturcios/fieldscribe", "mcp"]    }  }}

Docker

bash
docker run -i ghcr.io/cloudcorprecords/fieldscribedocker run --rm ghcr.io/cloudcorprecords/fieldscribe --version

The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.

Development

bash
npm installnpm run buildnpm testnpm run dev

The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.

License

MIT — see LICENSE.

來源:README.md,提交 0a863af

工具

4

submit_transcription

Submit a public video or audio URL (YouTube etc.) for verbatim transcription. Returns a job_id immediately. Transcription takes ~1-10 minutes: poll get_job with the job_id every 30-60 seconds until status is 'done', then call get_job with include_transcript=true. Not for private/internal URLs.

輸入參數url必填

get_job

Check a transcription job. Returns status (queued / working / done / error) and metadata. Set include_transcript=true only once status is 'done' and you actually need the full text in context - transcripts of long videos are large.

輸入參數job_id必填include_transcript

list_jobs

List all transcription jobs on your account, newest first.

無需輸入參數。

delete_job

Permanently delete a finished (done or errored) transcription job and its stored text. Refused while the job is queued or running. This cannot be undone.

輸入參數job_id必填

版本歷史

1
  1. v0.1.0最新Nov 5, 2026

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