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exa-search

@estiens/metacognitive_chat
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Real-time web search using Exa AI. Use when you need current information, fact-checking, researching unfamiliar topics, or finding documentation. Triggers on requests mentioning search, lookup, find online, current information, or research.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name exa-search
description Real-time web search using Exa AI. Use when you need current information, fact-checking, researching unfamiliar topics, or finding documentation. Triggers on requests mentioning search, lookup, find online, current information, or research.

Exa Web Search

Search the web for current information using the Exa AI search engine.

When to Use

  • Need information beyond training data cutoff
  • Fact-checking claims or statistics
  • Researching unfamiliar topics
  • Finding official documentation or sources
  • Getting current news or recent developments

Quick Start

Use the mcp__exa__web_search tool:

# Basic search
result = mcp__exa__web_search(query="TypeScript 5.0 new features")

# With more results
result = mcp__exa__web_search(query="MCP protocol specification", numResults=10)

Parameters

Parameter Type Required Default Description
query string Yes - Search query
numResults number No 5 Number of results to return

Response Format

Returns search results with:

  • title - Page title
  • url - Source URL
  • snippet - Text excerpt
  • content - Full page content (when available)

Examples

Research a topic

Search for: "latest React 19 features and changes"

Find documentation

Search for: "Anthropic Claude API authentication docs"

Fact check

Search for: "current TypeScript version 2025"

Best Practices

  1. Be specific - Include relevant keywords and context
  2. Use quotes - For exact phrases: "error message text"
  3. Add context - Include technology/domain: Python asyncio tutorial
  4. Limit results - Use 3-5 for quick lookups, 10+ for research