smart-search
NewAutomatically route search queries to the optimal MCP engine (Exa, Metaso, Bocha, GitHub, Zai MCP, Fetch) based on query type and content analysis
Summary
Smart Search automatically routes your search queries to the best MCP engine based on content analysis, ensuring you get the most relevant results for code, academic research, news, Chinese content, GitHub issues, images, or direct URLs.
- It saves time by eliminating the need to manually select search tools for different query types.
Overview
Smart Search - Intelligent Search Routing
Automatically route queries to the most appropriate search service using keyword-based priority rules.
Quick Reference
| Priority | Service | Trigger Keywords | Token/Count |
|---|---|---|---|
| P0 | Exa | code, API, function, framework, library, tutorial, syntax | 5000 |
| P1 | Metaso | paper, research, study, journal, thesis, academic | 10 |
| P2 | Brave | today, this week, latest, recent, news | 10 |
| P3 | Bocha | 中文, 国内, 百科, Chinese content | 18 |
| P4 | GitHub | github, repo, issue, PR, commit, branch | 10 |
| P5 | Zai MCP | image, video, screenshot, OCR, analyze picture | N/A |
| P6 | Fetch | http://, https:// (direct URL) | 5000 |
| P7 | Brave | (default fallback) | 10 |
| P8 | Exa | English technical docs | 3000 |
Decision Flow
User Input
│
├─ Contains http:// or https:// ──────────────→ Fetch (P6)
│
├─ Image/Video/Screenshot/OCR ─────────────────→ Zai MCP (P5)
│
├─ GitHub/Repo/Issue/PR/Commit ────────────────→ GitHub MCP (P4)
│
├─ Academic/Paper/Research/Thesis ──────────────→ Metaso (P1)
│
├─ Code/API/Framework/Library ──────────────────→ Exa (P0)
│
├─ Today/Latest/News + "AI" ───────────────────→ Brave + Metaso + Top 8 digest
│
├─ 中文/国内 ───────────────────────────────────→ Bocha (P3)
│
└─ Default ─────────────────────────────────────→ Brave (P7)Token Control
Adjust search depth based on query complexity:
| Level | Tokens/Count | Use Case |
|---|---|---|
| Quick | 5-10 | Simple queries, definitions |
| Regular | 10-20 | Common usage, examples (default) |
| Deep | 30-50 | Multi-condition, architecture |
News Output Format (AI新闻输出格式)
When user searches for daily AI news (今日/当天 AI新闻/资讯), use Brave + Metaso combined and output:
# 今日AI资讯 Top 8
### 1. [新闻标题]
**摘要：** [新闻内容摘要，50-100字]
**来源：** [来源名](链接)
**标签：** #标签1 #标签2 #标签3
**相关性：** ★★★★★
---
### 2. [新闻标题]
**摘要：** ...Timeliness Judgment (时效性判断)
Before including news, verify timeliness:
| Indicator | Fresh | Stale |
|---|---|---|
| Publish date | Within 2 days | Older than 7 days |
| Date string in URL | Contains current date (2026-02-*) | No date or old date |
| Source freshness | News sites, blogs | Static docs |
| Content keywords | "今日", "最新", "just announced" | "历史", "回顾", "总览" |
Priority: Prefer news with publish dates within 2 days. Stale news (>7 days) should be excluded.
Source attribution: Always include clickable source links.
Usage Guidelines
DO
- •Analyze keywords before routing
- •Implement fallback on failure (30s timeout)
- •For AI news: Use Brave + Metaso combined
- •Format each news item: 标题 + 摘要 + 来源 + 标签 + 相关性
- •Filter to recent 2 days: exclude news older than 48 hours
- •Always include clickable source links
DON'T
- •Use Exa for news → Brave
- •Use Metaso for code → Exa
- •Include news older than 2 days in "今日" digest
- •Omit source attribution for news
- •Combine MCPs redundantly
Fallback Strategy
| Primary | Fallback 1 | Fallback 2 |
|---|---|---|
| Exa | Brave | Metaso |
| Metaso | Bocha | Brave |
| Brave | Bocha | Exa |
| Bocha | Brave | Exa |
| GitHub | Fetch | - |
| Fetch | Brave | - |
Combination Rules
Only for complementary scenarios (max 3 concurrent):
| Scenario | Combo | Rationale |
|---|---|---|
| AI News Digest | Brave + Metaso | English + Chinese comprehensive coverage |
| Technical research | Exa + GitHub | Code + repos |
| Deep research | Metaso + Fetch | Academic + content |
| Comprehensive | Brave + Bocha | News + Chinese |
Install & Usage
/plugin marketplace add <org/repo>Add the configuration to /plugin install smart-search@<marketplace>
/pluginUse Cases
Usage Examples
/smart-search find code for sorting algorithm in Python
/smart-search latest news on AI regulation this week
/smart-search 中文百科 人工智能 发展历史
Security Audits
Frequently Asked Questions
What is smart-search?
Smart Search automatically routes your search queries to the best MCP engine based on content analysis, ensuring you get the most relevant results for code, academic research, news, Chinese content, GitHub issues, images, or direct URLs. It saves time by eliminating the need to manually select search tools for different query types.
How to install smart-search?
To install smart-search: add a marketplace (/plugin marketplace add <org/repo>), then add the config to /plugin install smart-search@<marketplace>. Finally, /plugin in Claude Code.
What is smart-search best for?
smart-search is a plugin categorized under General. It is designed for: mcp. Created by QLBQLB.
What can I use smart-search for?
smart-search is useful for: Quickly find code examples, API documentation, or library tutorials by typing a query with keywords like 'code' or 'function'.; Search for academic papers, research studies, or theses without switching to a separate scholarly search engine.; Get the latest news or recent updates on a topic by including words like 'today' or 'latest' in your query.; Find Chinese-language content or domestic Chinese resources by including Chinese keywords in your search.; Look up GitHub repositories, issues, pull requests, or commits by mentioning 'github' or 'repo' in your query.; Analyze images or videos by asking for OCR, screenshot analysis, or picture description..