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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
5.2
Moderate5.2Moderate RiskThis MCP server is well-designed and secure. It implements proper input validation with Zod, has no authentication requirements (appropriate for a public data source), and manages permissions appropriately. The caching layer prevents hammering the upstream service. Minor code quality observations around error handling do not significantly impact the overall security posture. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 8 issues 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:
In-memory cache TTL in milliseconds (default 300000).
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_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.
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
Reviews
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