List, fetch and search AI Daily Insights — a Chinese daily AI-industry briefing built for agents.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-whalecupl-ai-daily-insights-mcp": {
"command": "<see-readme>",
"args": []
}
}
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List, fetch and search AI Daily Insights — a Chinese daily AI-industry briefing built for agents.
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A Model Context Protocol server for AI Daily Insights — a daily AI briefing built for both humans and agents.
It lets any MCP-capable assistant (Claude Desktop, Claude Code, Cursor, …) list, read and search the daily AI news, fully structured — no HTML scraping.
| Tool | What it does |
|---|---|
get_latest() | The newest issue with all its news items in one call. |
list_latest(limit=5) | List recent issues: date, title, summary, tags, URLs. |
get_article(date) | Fetch one issue (YYYY-MM-DD), parsed into news items {index, title, signal, body}. |
get_range(from, to, limit=14) | Every issue in a date range (e.g. the past week), fetched in parallel. |
list_by_tag(tag, limit=10) | Issues carrying a given tag (company/topic), matched case-insensitively. |
search(query, tag, limit=10) | Full-text + tag search across all news items, in one server-side call. |
Data comes from the public JSON endpoints (/index.json, /{date}.json, /search) — the server is stateless and needs no API key. Responses are cached in-memory briefly (default 5 min, override with AI_DAILY_CACHE_TTL_MS) to avoid hammering the site on repeated calls.
claude mcp add ai-daily-insights -- npx -y ai-daily-insights-mcp
{
"mcpServers": {
"ai-daily-insights": {
"command": "npx",
"args": ["-y", "ai-daily-insights-mcp"]
}
}
}
Then ask: "用 ai-daily-insights 列出最近 5 天的 AI 资讯,挑 SpaceX 相关的讲讲。"
| Env var | Default | Purpose |
|---|---|---|
AI_DAILY_BASE_URL | https://www.aidailyinsights.cn | Override the site origin (e.g. a preview deploy). |
AI_DAILY_CACHE_TTL_MS | 300000 | In-memory cache TTL for fetched JSON, in milliseconds. |
npm install
npm run inspect # opens the MCP Inspector
MIT