About fieldscribe
fieldscribe is a local bridge to FieldTranscript for transcribing public audio and video URLs. It submits background jobs, tracks their status, and retrieves transcripts as text or SRT.
Key features
- 01Submit public audio or video URLs
- 02Run transcription jobs in the background
- 03Check job status and metadata
- 04Retrieve completed transcripts
- 05List or delete transcription jobs
Use cases
- 01Transcribe a public video or podcast
- 02Check progress of a transcription
- 03Retrieve a completed transcript as SRT
- 04Remove a finished job and its stored text
MCP support
Acts as a local MCP server that forwards transcription and job-management calls to FieldTranscript's hosted MCP server. MCP clients can submit jobs, check status, list jobs, retrieve transcripts, and delete finished jobs.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
4Saved tool list · updated 1w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | The public video or audio URL (YouTube etc.) to transcribe. |
Details
From the project READMEfieldscribe
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 ajob_idimmediately. Required:url. Transcription takes about 1-10 minutes; pollget_jobevery 30-60 seconds until the status isdone. Not for private or internal URLs.get_job— check one transcription job: its status (queued,working,doneorerror) and metadata. Required:job_id. Optional:include_transcript(defaultfalse) — set it only once the status isdoneand 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 (doneor 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 tohttps://mcp.fieldtranscript.com/mcp. (The override hook is this rebuild's own labelled reconstruction.)FIELDTRANSCRIPT_API_KEY(optional) — when set, every upstream request carries anAuthorization: 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):
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_jobs
npx @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
npx -y @reneturcios/fieldscribe mcp
MCP client config:
{
"mcpServers": {
"fieldscribe": {
"command": "npx",
"args": ["-y", "@reneturcios/fieldscribe", "mcp"]
}
}
}
Docker
docker run -i ghcr.io/cloudcorprecords/fieldscribe
docker 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
npm install
npm run build
npm test
npm run dev
The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.
License
MIT — see LICENSE.
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