home / skills / z980944038-dev / openclawwdl / exa-web-search-free-1.0.1

exa-web-search-free-1.0.1 skill

/skills/exa-web-search-free-1.0.1

This skill enables free AI powered web, code, and company research via Exa MCP, delivering concise results without API keys.

npx playbooks add skill z980944038-dev/openclawwdl --skill exa-web-search-free-1.0.1

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SKILL.md
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---
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](references/examples.md) for more patterns

## Resources

- [GitHub](https://github.com/exa-labs/exa-mcp-server)
- [npm](https://www.npmjs.com/package/exa-mcp-server)
- [Docs](https://exa.ai/docs)

Overview

This skill provides free AI-powered web, code, and company search via Exa MCP with no API key required. It offers targeted tools for current news and facts, code examples from GitHub/StackOverflow, and business intelligence on companies. The skill is accessible through mcporter commands and includes optional advanced tools for deeper research and extraction.

How this skill works

Invoke the core tools via mcporter to run neural searches against Exa’s MCP endpoints. web_search_exa returns recent web results with selectable modes (auto/fast/deep). get_code_context_exa pulls code snippets and documentation from code-focused sources with configurable token budget. company_research_exa aggregates business news and corporate intel by company name. Advanced endpoints add filters, crawling, people search, and an AI research agent for multi-step investigations.

When to use it

  • Quickly fetch breaking news or factual updates without configuring API keys.
  • Locate code examples, API usage, or Stack Overflow solutions during development.
  • Gather recent company news, funding, or press mentions for business research.
  • Run deeper literature-style or domain-limited searches using advanced tools.
  • Extract full-page content or profiles when needing source-level detail.

Best practices

  • Use type: "fast" for one-off lookups and "deep" when you need comprehensive context.
  • Set tokensNum lower (1000–2000) for focused code snippets and higher (5000+) for broad context.
  • Limit numResults to relevant counts (3–8) to reduce noise and speed up responses.
  • Enable the full toolset URL when you need domain/date filters, crawling, or people search.
  • Validate critical facts by checking multiple returned sources before acting on them.

Example use cases

  • Search latest AI regulation news: mcporter call 'exa.web_search_exa(query: "AI regulation 2026", numResults: 5)'
  • Find React hook patterns and examples: mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
  • Compile recent press and leadership changes for a competitor: mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
  • Run a deep literature sweep on a research topic using deep_search_exa after enabling advanced tools.
  • Extract and analyze a web page’s full content with crawling_exa for source-level review.

FAQ

Do I need an API key to use this skill?

No. The skill connects to Exa MCP endpoints without requiring an API key.

How do I switch between fast and deep searches?

Pass the optional type parameter ("fast" or "deep") to web_search_exa; use "fast" for quick lookups and "deep" for thorough research.