Server data from the Official MCP Registry
List, fetch and search AI Daily Insights — a Chinese daily AI-industry briefing built for agents.
About
List, fetch and search AI Daily Insights — a Chinese daily AI-industry briefing built for agents.
Security Report
Valid MCP server (3 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
6 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: AI_DAILY_ANALYTICS
Environment variable: AI_DAILY_CACHE_TTL_MS
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-whalecupl-ai-daily-insights-mcp": {
"env": {
"AI_DAILY_ANALYTICS": "your-ai-daily-analytics-here",
"AI_DAILY_CACHE_TTL_MS": "your-ai-daily-cache-ttl-ms-here"
},
"args": [
"-y",
"ai-daily-insights-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
Aggregate usage and privacy (0.4.4+)
Each entered tool handler sends a best-effort background event to the configured AI_DAILY_BASE_URL (the public site by default). It contains only the tool name and package version: no arguments, search queries, results, session IDs or user identifiers. The hosting infrastructure still sees standard request metadata. Events include cached calls and errors, but exclude tool discovery and rejected input schemas. They are self-reported usage, not verified AI users.
Set AI_DAILY_ANALYTICS=0 in the MCP server environment to disable these events. Data fetches still use the package/version User-Agent for HTTP attribution. Reporting never waits on the tool response path, has a 1.5-second timeout, at most 16 outstanding events and no retries; offline/shutdown/opt-out may undercount. Existing data caching is unchanged.
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 test
npm run inspect # opens the MCP Inspector
Requires Node.js 20 or newer. Every tool declares explicit MCP safety annotations, validates its inputs with Zod, and converts upstream failures into structured MCP error results.
License
MIT
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