China News Feed

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.

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

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。

可以做什麼
取得中英文或雙語中國新聞標題,可依來源與來源類型篩選,並在本機依關鍵字過濾(get_china_news)。取得微博、百度、知乎、今日頭條、抖音、嗶哩嗶哩與快手的熱搜榜,可限制排名範圍(get_hot_lists)。取得刪文監測紀錄,包含審查狀態、標籤、排名、最高排名與首次/最後出現時間(get_deletions)。不需 Apify token 即可取得英文新聞來源的免費樣本(get_sample)。
適用情境
適合想讓助理追蹤中文新聞報導、中國主要平台熱門話題或審查與刪文訊號的情境,且已擁有或願意開通 Apify 帳戶以使用付費工具。
執行需求
遠端 streamable HTTP 端點,不需本機安裝。付費工具需要在 x-apify-token 標頭提供 Apify API token,費用計入該 Apify 帳戶。get_sample 不需 token。需要能連線至該端點與 Apify 的網路。
安裝前請注意
完整資料工具依每 1,000 筆資料集紀錄 8 美元計費,費用計入你自己的 Apify 帳戶;即使本機查詢或刪文過濾後回傳結果較少,紀錄仍會計費,預設 50 筆的一次呼叫最高約 0.40 美元。token 屬於機密,應妥善保管。README 說明專案已遷移至其他儲存庫與登錄項目,使用前請確認是維護中的版本。

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.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。

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"
    }
  }
}

README

Moved → https://github.com/Ownly-Network/china-news-feed-mcp (MCP Registry: io.github.Ownly-Network/china-news-feed)

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:joydai2026-del/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/joydai2026-del/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 c818902

工具

4

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.

輸入參數querysourceslanguagemaxItemssourceTypes

get_hot_lists

Fetch Chinese platform hot lists. Costs $8 per 1,000 dataset rows on your own Apify account.

輸入參數maxRanklanguagemaxItemsplatforms

get_deletions

Fetch deletion-watch flags (including provisional and returned statuses). Costs $8 per 1,000 fetched dataset rows; unflagged rows also count toward billing.

輸入參數highRankmaxItemsplatforms

get_sample

Free sample of the English China news feed (no Apify token needed).

輸入參數limit

版本歷史

1
  1. v1.0.0最新Oct 18, 2026

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