Schema | whipscribe-mcp

whipscribe-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`WHIPSCRIBE_API_KEY`	No	API key (unlocks paid quota; anonymous free tier works without it)
`WHIPSCRIBE_API_BASE`	No	Override API base URL (e.g. for staging)	https://whipscribe.com/api/v1
`WHIPSCRIBE_MCP_TELEMETRY`	No	Set to 0 to disable anonymous usage telemetry	1
`WHIPSCRIBE_MCP_POLL_TIMEOUT_SECONDS`	No	Max seconds transcribe_url / transcribe_file waits before returning the job_id with a non-terminal status	600
`WHIPSCRIBE_MCP_POLL_INTERVAL_SECONDS`	No	Seconds between job-status polls during transcription	3

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
transcribe_urlA	Transcribe audio or video from a URL (direct media link, podcast episode, or Creative-Commons YouTube). Polls until the job is done or the poll timeout elapses, then returns a transcript preview plus a link to the full transcript.
transcribe_fileA	Transcribe a local audio or video file. The path is never sent to telemetry. Polls until the job is done or the poll timeout elapses.
get_job_statusA	Poll the current status of a transcription job by job_id.
get_transcriptA	Fetch a finished transcript in the requested format. Returns a 300-character preview plus a link to the full transcript; large transcripts are not inlined in the MCP response.
list_recent_jobsA	List jobs submitted from this machine (local SQLite cache). Stores only job_id, source kind, status, duration, and created-at timestamp — never URLs, file paths, or transcripts.
transcribe_urls_batchA	Transcribe a list of URLs (YouTube, podcast, direct media) concurrently. Submit up to 20 URLs in one call; each job runs in parallel and the tool returns when all are done or failed. Per-URL failures do not abort the batch. Ideal for building a second-brain knowledge base from a playlist or a curated list of videos.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/neugence/whipscribe-mcp'

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