MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Description from the maker (original English)
YouTube keyword search with filters and up to 20 requested videos. Paid FlashData API.
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Runs on your computer; the tool list appears in your AI app after you install it.
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The publisher (flashdata-dev) is not the repo owner (rocosen); someone else may have listed it
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: FLASHDATA_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 22 days ago.
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In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
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Search YouTube videos by keyword with date, duration, feature and sorting filters. Return video IDs, channels and available statistics.
API documentation and account setup · Get an API key · Current pricing
Find up to 10 YouTube video candidates about battery recycling. Return video IDs, watch links, channel names and available durations. Let me choose candidates before making separate metadata or transcript requests.
youtube_search. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:{
"mcpServers": { "youtube-search": { "command": "node", "args": [ "/absolute/path/to/unpacked/youtube-search/server.js" ], "env": { "FLASHDATA_API_KEY": "YOUR_API_KEY" } } } }
get_pricing with {"source":"youtube_search","request_count":1} before approving a paid request. This server exposes youtube_search, get_pricing, get_job and get_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.
These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.
{
"name": "youtube_search", "arguments": { "query": "battery recycling", "max_results": 10 } }
Read results[0].results. Retain videoId, title, channel, channelUrl, viewCount and duration. Construct a watch URL from each videoId for traceable follow-up research.
Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:
{
"source": "youtube_search", "status": "done", "results": [ { "results": [ { "videoId": "dQw4w9WgXcQ", "title": "battery recycling", "channel": "Example", "channelId": "channel-one", "channelUrl": "https://www.youtube.com/@Example", "viewCount": 100, "duration": 90 } ] } ], "created_at": "2026-10-12T00:00:00Z", "http_status": 200, "request_id": "fixture-request" }
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.
http_status and 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