YouTube Search — FlashData
io.github.flashdata-dev由 GitHub 账号 flashdata-dev 发布v0.1.2更新于 Oct 24, 2026
YouTube keyword search with filters and up to 20 requested videos. Paid FlashData API.
概览
通过付费的 FlashData API 按关键词搜索 YouTube,返回视频 ID、频道和可用的统计数据。
- 可以做什么
- 按关键词搜索 YouTube 视频,支持日期、时长、特性和排序筛选,每次最多 20 条结果。
- 读取返回的视频 ID、标题、频道、频道链接、观看次数和时长。
- 在批准请求前查询该请求的价格。
- 轮询异步任务,并按偏移分页读取分块结果,避免重复发起付费请求。
- 适用场景
- 当助手需要为调研、内容策划或后续元数据与字幕处理收集某个主题的候选 YouTube 视频,并且愿意为每次数据请求付费时适用。
- 运行要求
- 以 MCPB 包形式通过 stdio 在本地运行;需要 Node.js 22.18 或更高版本,以及支持本地 stdio 服务器的 MCP 客户端。需要在 FLASHDATA_API_KEY 环境变量中提供 FlashData API 密钥,并授予 youtube_search 权限。需要能访问 FlashData API 的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 YouTube Search — FlashData,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:registry/servers/youtube-search/README.md,提交 ec77370
工具
0版本历史
2- v0.1.2最新Oct 15, 2026
- v0.1.1Oct 13, 2026
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