China News Feed

io.github.Ownly-Network由 GitHub 帳號 Ownly-Network 發布v1.0.1更新於 Nov 4, 2026

China news (EN/ZH), Weibo 微博/Baidu 百度/Zhihu 知乎 hot lists and deletion watch from public data.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取資料與分析

概覽

AI 產生的概覽

透過 Apify actor 從公開資料取得中國新聞標題、微博/百度/知乎等平台熱搜榜,以及審查與刪文標記。

可以做什麼
  • 取得中文、英文或雙語的中國新聞條目,可依關鍵字與來源篩選
  • 抓取微博、百度、知乎、今日頭條、抖音、嗶哩嗶哩、快手的熱搜榜並限制名次
  • 列出帶有審查標記的刪文監控條目,含狀態、標籤、排名、最高排名與首次/最後出現時間
  • 在本機依關鍵字過濾標題,並選擇要回傳哪種語言的標題
適用情境
適合讓助理追蹤中文新聞與社群平台熱點、比較熱搜排名,或追蹤被標記為審查或刪除的內容,而不必自行建置爬取程式。
執行需求
提供遠端端點;README 也說明可透過 npx、git clone 或 Docker 在本機以 Node.js 20 以上執行。完整資料工具需要 Apify API token,遠端端點以 x-apify-token 請求標頭提供,本機以 APIFY_TOKEN 環境變數提供;範例工具不需 token。需要能連線至 Apify 的網路。
安裝前請注意
完整資料呼叫會執行付費 Apify actor,依每 1,000 列資料 8 美元計入你自己的 Apify 帳戶,預設 50 列的呼叫最高約 0.40 美元;此 token 為可計費憑證,應保存在私有設定中。另有按次計費的 HTTP API,每次 0.01 美元,以 Base 上的 USDC 支付。審查標記為 actor 自身的判斷;請求逾時可能留下仍在執行且計費的 actor 任務。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 China News Feed,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

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。

交給代理程式安裝

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.Ownly-Network%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。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

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?src=ownly-network"
    }
  }
}

README

china-news-feed-mcp

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.

ToolInputsResult
get_china_newslanguage: zh, en, or both (default); maxItems: 1–500 (default 50); optional query, sources, sourceTypesNews rows only; sources maps to actor newsSources, e.g. xinhua, bbc, mfa.
get_hot_listsplatforms (default all); maxRank: 5–50 (default 50); maxItems: 1–500 (default 50); language (default both)Hot-list rows only; maxRank maps to actor maxHotRank.
get_deletionsplatforms (default all); maxItems: 1–500 (default 50); optional highRank: 3–50Rows with non-null censorship flags, including status, label, rank, peak rank, and first/last seen when present. Both headlines are included.

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.

Claude Desktop and Cursor

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.

json
{  "mcpServers": {    "china-news-feed": {      "command": "npx",      "args": ["-y", "github:Ownly-Network/china-news-feed-mcp"],      "env": {        "APIFY_TOKEN": "<your-apify-token>"      }    }  }}

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:

bash
git clone https://github.com/Ownly-Network/china-news-feed-mcp.gitcd china-news-feed-mcpnpm installnpm run build

Use this server entry in either client's mcpServers object, replacing the path with your absolute checkout path:

json
{  "china-news-feed": {    "command": "node",    "args": ["/absolute/path/china-news-feed-mcp/dist/index.js"],    "env": { "APIFY_TOKEN": "<your-apify-token>" }  }}

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.

Docker

bash
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

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.

Smithery

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.

Sample 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.

json
{  "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"}

Pay-per-call HTTP API (x402)

Development

bash
npm installnpm run buildnpm test

Tests 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.

Related links

來源:README.md,提交 e88651c

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v1.0.1最新Oct 21, 2026

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