AgentSkillsCN

exa-web-search-free

通过Exa MCP免费开启AI搜索之旅。无论是新闻资讯的网络搜索，还是从GitHub/StackOverflow中查找代码文档与示例，亦或是为企业情报进行公司调研，此工具均无需API密钥即可轻松实现。

SKILL.md
--- frontmatter
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:

bash
mcporter list exa

If not listed:

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

Core Tools

web_search_exa

Search web for current info, news, or facts.

bash
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.

bash
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.

bash
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:

bash
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