YouTube Transcript — FlashData
io.github.flashdata-devPublished by GitHub account flashdata-devv0.1.2Updated Oct 24, 2026
YouTube transcript text with timestamps from existing caption tracks. Paid FlashData API.
The publisher's own server: Transcript
Overview
Fetches existing YouTube caption tracks with start and end timestamps through the paid FlashData API, for cited summaries and transcript exports.
- What you can do
- Retrieve transcript segments (start, end, text) for a video from existing caption tracks, choosing language and auto-generated captions
- Check pricing for this source before approving a paid request
- Poll asynchronous jobs and read completed output
- Fetch chunked results by result ID and offset, concatenating chunks in order
- When to use it
- Useful when you want timestamped YouTube transcripts for research notes, cited summaries, searchable notes or exports, and are willing to pay per data request. It only reads caption tracks that already exist, so it is not a fit for videos without captions or for speech-to-text or translation.
- Requirements
- A local MCP client that supports stdio servers and Node.js 22.18 or newer; the MCPB package bundles its dependencies. A FlashData API key in the FLASHDATA_API_KEY environment variable, granted access to youtube_transcript. Network access to the FlashData API.
Installation
In SourceWeft
- Open YouTube Transcript — FlashData in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
YouTube Transcript — FlashData
Retrieve available YouTube transcript text with start and end timestamps. Build cited summaries, searchable notes and transcript exports.
API documentation and account setup · Get an API key · Current pricing
A task to try
Retrieve this video’s existing English automatic captions. Prepare timestamped excerpts and watch links for my research notes. Report an unavailable track without generating or translating a transcript.
Install and connect
- Use Node.js 22.18 or newer and an MCP client that supports local stdio servers. Download the dedicated MCPB package; its SHA-256 is recorded in the manifest.
- Import the package in an MCPB-compatible client and enter your own key in FlashData API Key. Grant the key access to
youtube_transcript. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:
- Restart or reconnect the client, list its tools, then call
get_pricingwith{"source":"youtube_transcript","request_count":1}before approving a paid request. This server exposesyoutube_transcript,get_pricing,get_jobandget_result; all are restricted to this source.
Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.
Example request
These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.
Use the response
Read results[0].segments. Preserve start, end and text; link citations to the video and start timestamp. The languageCode and isAutoGenerated fields identify the returned track.
Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:
For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.
For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.
Cost and limits
- MIT software and installation are free; FlashData API data calls are paid. Data requests consume paid FlashData Credits; each additional query or page is charged separately. Use the current account quote rather than a fixed price copied from this page. Pricing, job and result reads are free. Client/model fees are separate.
- auto=true selects existing automatically generated captions; it does not run speech recognition. Missing tracks do not fall back to uploader captions or another language.
- Check API errors,
http_statusand job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.
Full task guide · Official Registry record · Source and license
Source: registry/servers/youtube-transcript/README.md at commit ec77370
Tools
0Version history
2- v0.1.2LatestOct 15, 2026
- v0.1.1Oct 13, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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