China News Feed

io.github.Ownly-Network由 GitHub 账号 Ownly-Network 发布v1.0.1更新于 Nov 4, 2026

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

已验证Streamable HTTP可网页运行网页搜索与抓取数据与分析

概览

AI 生成的概览

通过 Apify actor 从公开数据获取中国新闻标题、微博/百度/知乎等平台热搜榜以及审查与删帖标记。

可以做什么
  • 获取中文、英文或双语的中国新闻条目,可按关键词和来源筛选
  • 抓取微博、百度、知乎、今日头条、抖音、哔哩哔哩、快手的热搜榜并限制名次
  • 列出带审查标记的删帖监控条目,含状态、标签、排名、最高排名和首次/最后出现时间
  • 在本地按关键词过滤标题,并选择返回哪种语言的标题
适用场景
适合让助手跟踪中文新闻与社交平台热点、比较热搜排名,或追踪被标记为审查或删除的内容,而无需自行搭建抓取程序。
运行要求
提供远程端点;README 也说明可通过 npx、git clone 或 Docker 在本地以 Node.js 20 以上运行。完整数据工具需要 Apify API token,远程端点通过 x-apify-token 请求头提供,本地通过 APIFY_TOKEN 环境变量提供;示例工具无需 token。需要能访问 Apify 的网络。
安装前请注意
完整数据调用会运行付费 Apify actor,按每 1,000 行数据 8 美元计入你自己的 Apify 账户,默认 50 行的调用最高约 0.40 美元;该 token 是可计费凭据,应保存在私有配置中。另有按次计费的 HTTP API,每次 0.01 美元,以 Base 上的 USDC 支付。审查标记为 actor 自身的判断;请求超时可能留下仍在运行并计费的 actor 任务。

安装

在 SourceWeft 中

  1. 打开 控制台中的 China News Feed,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Ownly-Network%2Fchina-news-feed/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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

来源:README.md,提交 e88651c

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v1.0.1最新Oct 21, 2026

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