exa-web-search-free

低风险
作者:Whiteknight07 | 审计时间:2026-02-26T09:59:20.936Z | 规则集:0.2.0

快速安装

将技能安装到你的 Agent

clawhub install exa-web-search-free

技能介绍

Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.

Web search
Results filtering
URL extraction
Content scraping

使用场景

1 Research topics
2 Find information
3 Answer questions

文档(原文)

来源:SKILL.md
以下为作者原文(通常为英文)。安装请以页面顶部“快速安装”为准。

name: exa-web-search-free
description: Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
metadata: {"clawdbot":{"emoji":"🔍","requires":{"bins":["mcporter"]}}}

Exa Web Search (Free)

Neural search for web, code, and company research. No API key required.

Setup

Verify mcporter is configured:

mcporter list exa

If not listed:

mcporter config add exa https://mcp.exa.ai/mcp

Core Tools

web_search_exa

Search web for current info, news, or facts.

mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'

Parameters:

  • query - Search query
  • numResults (optional, default: 8)
  • type (optional) - "auto", "fast", or "deep"

get_code_context_exa

Find code examples and docs from GitHub, Stack Overflow.

mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'

Parameters:

  • query - Code/API search query
  • tokensNum (optional, default: 5000) - Range: 1000-50000

company_research_exa

Research companies for business info and news.

mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'

Parameters:

  • companyName - Company name
  • numResults (optional, default: 5)

Advanced Tools (Optional)

Six additional tools available by updating config URL:

  • web_search_advanced_exa - Domain/date filters
  • deep_search_exa - Query expansion
  • crawling_exa - Full page extraction
  • people_search_exa - Professional profiles
  • deep_researcher_start/check - AI research agent

Enable all tools:

mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"

# Then use:
mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'

Tips

  • Web: Use type: "fast" for quick lookup, "deep" for thorough research
  • Code: Lower tokensNum (1000-2000) for focused, higher (5000+) for comprehensive
  • See examples.md for more patterns

Resources

安全审计

低风险

摘要

Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.

风险画像 危险 隐私 范围 声誉 质量

ToxicSkills 分析

黑名单
未命中
提示词注入
未检测到

当前静态检测未发现 Toxic 信号。

关键风险 0 项

暂无 LLM 风险要点(LLM 未启用或无缓存)。

确定性发现(证据)

未检测到发现。

评分标准

每个技能从 5 个维度评分,加权总分决定星级。

代码毒性 100/100 (权重 30%)
隐私风险 100/100 (权重 25%)
权限范围 100/100 (权重 20%)
作者声誉 75/100 (权重 15%)
代码质量 70/100 (权重 10%)

星级说明

5★ 安全 — 总分 ≥ 80
4★ 良好 — 总分 70–79
3★ 注意 — 总分 60–69
2★ 有风险 — 总分 40–59
1★ 危险 — 总分 < 40

为何是这个评分?

所有维度均高于 60 分,该技能通过安全基线。

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关于

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