ai-daily-insights-mcp

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.

Tools

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.

Use it

Claude Code

claude mcp add ai-daily-insights -- npx -y ai-daily-insights-mcp

Claude Desktop / Cursor (config file)

{
  "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。"

Config

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.

Develop

npm install
npm run inspect   # opens the MCP Inspector

License

MIT

ai daily insights mcp