get_china_news
Fetch China news. Costs $8 per 1,000 dataset rows on your Apify account. Query and language are applied locally after billing.
querysourceslanguagemaxItemssourceTypes
io.github.joydai2026-del由 GitHub 帳號 joydai2026-del 發布v1.0.0更新於 Oct 25, 2026
China news (EN/ZH), Weibo 微博/Baidu 百度/Zhihu 知乎 hot lists and deletion watch from public data.
遠端 MCP 伺服器,透過付費的 Apify actor 取得中國新聞、中國平台熱搜榜與刪文監測標記。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.joydai2026-del%2Fchina-news-feed/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"china-news-feed": {
"type": "http",
"url": "https://china-news-feed-mcp.joyd-ai-2026.workers.dev/mcp"
}
}
}Moved → https://github.com/Ownly-Network/china-news-feed-mcp (MCP Registry: io.github.Ownly-Network/china-news-feed)
A TypeScript MCP server for China news, platform hot lists, and deletion-watch flags, wrapping the China News Feed Apify actor (CeTIPfpcWcDrEhrPV). Uses Node.js 20 native fetch and MCP over stdio.
Actor usage costs $8 per 1,000 dataset rows, billed to your own Apify account. Supply your API token through APIFY_TOKEN. Each call starts an actor run with emitOnlyNew: false, snapshotCount: 1, and maxItems as the billed-row cap. A default 50-row call costs up to $0.40 at this row price.
Supported platforms: Weibo 微博 (weibo), Baidu 百度 (baidu), Zhihu 知乎 (zhihu), Toutiao 今日头条 (toutiao), Douyin 抖音 (douyin), Bilibili 哔哩哔哩 (bilibili), Kuaishou 快手 (kuaishou).
News sourceTypes accepts the actor's exact values: State media, Party-gov, Commercial platform, Overseas independent, Dissident, Censorship tracker. Omitting sources or source types uses actor defaults; an empty source-type array selects no news types. An empty platform array selects no hot lists.
language controls output projection: en includes headline_en, zh includes headline_original, and both includes both. Missing translations are omitted. The actor has no language or query input. query filters both headlines locally, case-insensitively, after fetching. Deletion filtering also happens locally, so the returned count can be smaller than the fetched/billed row count. No automatic retries are made.
Install Node.js 20 or newer and obtain a token from your Apify account. For Claude Desktop, add the following to claude_desktop_config.json (open it through Settings → Developer → Edit Config). For Cursor, add it to .cursor/mcp.json in your project or ~/.cursor/mcp.json for global use. Merge it with existing mcpServers entries, then restart the client.
GitHub installation builds dist/ using the prepare script. Git must also be available for installation from GitHub. Keep your real token in private client configuration or your process environment; never commit it.
For a local build:
Use this server entry in either client's mcpServers object, replacing the path with your absolute checkout path:
For manual startup with APIFY_TOKEN already exported, run npm start. The server reserves stdout for MCP messages. Missing tokens produce a clear tool error; tokens and raw upstream errors are never logged. The fetch timeout is 300 seconds; configure a longer tool timeout in your client if supported. A timed-out request may leave an actor run active in Apify.
To use Docker from Claude Desktop or Cursor, set command to docker, args to ["run", "--rm", "-i", "-e", "APIFY_TOKEN", "china-news-feed-mcp"], and provide APIFY_TOKEN in the server's env. Use -i to keep stdin open for stdio transport.
The included smithery.yaml declares a stdio start command and requires the apifyToken configuration value. Smithery maps that value to APIFY_TOKEN and starts node dist/index.js; the included multi-stage Dockerfile supplies the build and runtime. Supply your own token when configuring the server.
The official Apify MCP also works generically with this actor. This wrapper adds dedicated tools, local headline filtering, language projection, and compact output.
Shortened from the two fixture rows in sample-rows.json, illustrating a get_deletions response. The tool returns compact JSON text; null and empty fields are dropped. Flags such as likely_censored are actor assessments and retain their status and evidence.
0x7BB40af451f7e6fcB7C844a0Ac9e709B92854F5FTests use mocked fetch responses and the provided fixtures, with no paid actor runs. Input reference: actor-input-schema.json. Licensed under MIT, copyright 2026 Ownly.
來源:README.md,提交 c818902
Fetch China news. Costs $8 per 1,000 dataset rows on your Apify account. Query and language are applied locally after billing.
querysourceslanguagemaxItemssourceTypesFetch Chinese platform hot lists. Costs $8 per 1,000 dataset rows on your own Apify account.
maxRanklanguagemaxItemsplatformsFetch deletion-watch flags (including provisional and returned statuses). Costs $8 per 1,000 fetched dataset rows; unflagged rows also count toward billing.
highRankmaxItemsplatformsFree sample of the English China news feed (no Apify token needed).
limit已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
{ "mcpServers": { "china-news-feed": { "command": "npx", "args": ["-y", "github:joydai2026-del/china-news-feed-mcp"], "env": { "APIFY_TOKEN": "<your-apify-token>" } } }}git clone https://github.com/joydai2026-del/china-news-feed-mcp.gitcd china-news-feed-mcpnpm installnpm run build{ "china-news-feed": { "command": "node", "args": ["/absolute/path/china-news-feed-mcp/dist/index.js"], "env": { "APIFY_TOKEN": "<your-apify-token>" } }}docker build -t china-news-feed-mcp .# APIFY_TOKEN must already be exported in your shell.docker run --rm -i -e APIFY_TOKEN china-news-feed-mcp{ "count": 2, "rows": [ { "kind": "hot", "source_id": "toutiao", "headline_en": "The 20th Asian Games Come to a Close", "headline_original": "第20届亚运会闭幕", "rank": 1, "peak_rank": 1, "first_seen": "2026-10-04T18:07:26Z", "last_seen": "2026-10-04T23:28:50Z", "censorship": { "status": "likely_censored", "label": "Likely censored" } }, { "kind": "hot", "source_id": "weibo", "headline_original": "蔡康永", "rank": 14, "peak_rank": 11, "censorship": { "status": "likely_censored", "label": "Likely censored" } } ], "note": "billed rows: 2 at $8/1000"}npm installnpm run buildnpm test