YouTube Search — FlashData
io.github.flashdata-dev由 GitHub 帳號 flashdata-dev 發布v0.1.2更新於 Oct 24, 2026
YouTube keyword search with filters and up to 20 requested videos. Paid FlashData API.
概覽
透過付費的 FlashData API 依關鍵字搜尋 YouTube,回傳影片 ID、頻道與可用的統計資料。
- 可以做什麼
- 依關鍵字搜尋 YouTube 影片,支援日期、長度、特性與排序篩選,每次最多 20 筆結果。
- 讀取回傳的影片 ID、標題、頻道、頻道連結、觀看次數與長度。
- 在核准請求前查詢該請求的價格。
- 輪詢非同步工作,並依位移分頁讀取分塊結果,避免重複發出付費請求。
- 適用情境
- 當助理需要為研究、內容規劃或後續中繼資料與字幕處理蒐集某個主題的候選 YouTube 影片,且願意為每次資料請求付費時適用。
- 執行需求
- 以 MCPB 套件形式透過 stdio 在本機執行;需要 Node.js 22.18 或更新版本,以及支援本機 stdio 伺服器的 MCP 用戶端。需在 FLASHDATA_API_KEY 環境變數中提供 FlashData API 金鑰,並授予 youtube_search 權限。需要能連線至 FlashData API 的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 YouTube Search — FlashData,將其新增到工作區。
- 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
YouTube Search — FlashData
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
A task to try
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.
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_search. 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_search","request_count":1}before approving a paid request. This server exposesyoutube_search,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].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:
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.
- max_results is 1 to 20; actual results can be fewer. Metadata and transcript enrichment are separate paid calls.
- 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
來源:registry/servers/youtube-search/README.md,提交 ec77370
工具
0版本歷史
2- v0.1.2最新Oct 15, 2026
- v0.1.1Oct 13, 2026
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