Everything-claude-code exa-search

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

install

source · Clone the upstream repo

git clone https://github.com/affaan-m/everything-claude-code

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/affaan-m/everything-claude-code "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.agents/skills/exa-search" ~/.claude/skills/affaan-m-everything-claude-code-exa-search && rm -rf "$T"

manifest: .agents/skills/exa-search/SKILL.md

Exa Search

Neural search for web content, code, companies, and people via the Exa MCP server.

When to Activate

User needs current web information or news
Searching for code examples, API docs, or technical references
Researching companies, competitors, or market players
Finding professional profiles or people in a domain
Running background research for any development task
User says "search for", "look up", "find", or "what's the latest on"

MCP Requirement

Exa MCP server must be configured. Add to

~/.claude.json

"exa-web-search": {
  "command": "npx",
  "args": ["-y", "exa-mcp-server"],
  "env": { "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE" }
}

Get an API key at exa.ai.

Core Tools

web_search_exa

General web search for current information, news, or facts.

web_search_exa(query: "latest AI developments 2026", numResults: 5)

Parameters:

Param	Type	Default	Notes
`query`	string	required	Search query
`numResults`	number	8	Number of results

web_search_advanced_exa

Filtered search with domain and date constraints.

web_search_advanced_exa(
  query: "React Server Components best practices",
  numResults: 5,
  includeDomains: ["github.com", "react.dev"],
  startPublishedDate: "2025-01-01"
)

Parameters:

Param	Type	Default	Notes
`query`	string	required	Search query
`numResults`	number	8	Number of results
`includeDomains`	string[]	none	Limit to specific domains
`excludeDomains`	string[]	none	Exclude specific domains
`startPublishedDate`	string	none	ISO date filter (start)
`endPublishedDate`	string	none	ISO date filter (end)

get_code_context_exa

Find code examples and documentation from GitHub, Stack Overflow, and docs sites.

get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)

Parameters:

Param	Type	Default	Notes
`query`	string	required	Code or API search query
`tokensNum`	number	5000	Content tokens (1000-50000)

company_research_exa

Research companies for business intelligence and news.

company_research_exa(companyName: "Anthropic", numResults: 5)

Parameters:

Param	Type	Default	Notes
`companyName`	string	required	Company name
`numResults`	number	5	Number of results

people_search_exa

Find professional profiles and bios.

people_search_exa(query: "AI safety researchers at Anthropic", numResults: 5)

crawling_exa

Extract full page content from a URL.

crawling_exa(url: "https://example.com/article", tokensNum: 5000)

Parameters:

Param	Type	Default	Notes
`url`	string	required	URL to extract
`tokensNum`	number	5000	Content tokens

deep_researcher_start / deep_researcher_check

Start an AI research agent that runs asynchronously.

# Start research
deep_researcher_start(query: "comprehensive analysis of AI code editors in 2026")

# Check status (returns results when complete)
deep_researcher_check(researchId: "<id from start>")

Usage Patterns

Quick Lookup

web_search_exa(query: "Node.js 22 new features", numResults: 3)

Code Research

get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)

Company Due Diligence

company_research_exa(companyName: "Vercel", numResults: 5)
web_search_advanced_exa(query: "Vercel funding valuation 2026", numResults: 3)

Technical Deep Dive

# Start async research
deep_researcher_start(query: "WebAssembly component model status and adoption")
# ... do other work ...
deep_researcher_check(researchId: "<id>")

Tips

Use
```
web_search_exa
```
for broad queries,
```
web_search_advanced_exa
```
for filtered results
Lower
```
tokensNum
```
(1000-2000) for focused code snippets, higher (5000+) for comprehensive context

Combine

company_research_exa

with

web_search_advanced_exa

for thorough company analysis

Use
```
crawling_exa
```
to get full content from specific URLs found in search results
```
deep_researcher_start
```
is best for comprehensive topics that benefit from AI synthesis

Related Skills

```
deep-research
```
— Full research workflow using firecrawl + exa together
```
market-research
```
— Business-oriented research with decision frameworks