Google News — FlashData
io.github.flashdata-dev由 GitHub 帳號 flashdata-dev 發布v0.1.2更新於 Oct 26, 2026
Google News articles with publishers, date labels and links for topic briefs. Paid FlashData API.
概覽
透過付費的 FlashData API 搜尋 Google 新聞,回傳標題、發布者、日期標籤與連結,方便產出可溯源的新闻簡報。
- 可以做什麼
- 依查詢字詞、國家與語言搜尋 Google 新聞,回傳標題、發布者、日期標籤、摘要與連結
- 在核准請求前查詢價格,並讀取非同步請求的工作狀態與分塊結果
- 將回傳的標題依發布者分組,整理成附連結的新聞摘要,並保留原始日期標籤
- 適用情境
- 適合助理需要取得某個主題近期報導並保留可引用來源的情況,例如製作新聞簡報或了解發布者近期的報導。每次呼叫只回傳一次快照,定期簡報需由應用程式自行排程。
- 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。需要以 FLASHDATA_API_KEY 環境變數提供 FlashData API 金鑰,並授予 google_news 存取權限。需要網路連線與付費的 FlashData 帳戶。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Google News — 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
Google News — FlashData
Search Google News for articles, publishers, date labels and source links. Turn a topic into a traceable news briefing.
API documentation and account setup · Get an API key · Current pricing
A task to try
Find recent coverage of battery recycling. Group the returned headlines by publisher and prepare a linked news digest. Preserve each date label as returned and flag stories that need a full-article check.
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
google_news. 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":"google_news","request_count":1}before approving a paid request. This server exposesgoogle_news,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].news and group entries by source. Keep title, link, source, date and snippet; preserve relative date labels rather than inventing absolute publication times.
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.
- This call reads one news snapshot. Scheduling and delivering a recurring digest belong to your application. It does not retrieve article full text.
- 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/google-news/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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