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Exa Search

Semantic Search Search & Productivity

Install Command

npx clawhub@latest install exa

Installation Guide

1
Check Environment

Make sure Node.js 22+ and OpenClaw are installed. Run openclaw --version in your terminal to verify.

2
Run Installation

Run the install command above in your terminal. ClawHub will automatically download and install Exa Search to the ~/.openclaw/skills/ directory.

3
Verify Installation

Run openclaw skills list to check your installed skills and confirm Exa Search appears in the list.

4
Configure (Optional)

Follow the configuration instructions in the description below to add skill settings to ~/.config/openclaw/openclaw.json5.

Manual Installation: Copy the Skill folder to ~/.openclaw/skills/ or the skills/ directory in your project root. Make sure the folder contains a SKILL.md file.
Embedding-based semantic search Similar page discovery Structured content extraction and highlighting

Detailed Description

Exa is a next-generation search engine based on neural networks. Unlike traditional keyword matching, Exa uses semantic embeddings to understand query meaning and find truly relevant content, particularly excelling at discovering high-quality pages that traditional search engines struggle to find.

Core Features

  • Semantic Search (search): Describe what you're looking for in natural language, and Exa uses Embedding models to understand semantics and return the most relevant results, rather than simple keyword matching
  • Similar Search (find_similar): Input a URL to find other pages with similar content or topics, ideal for discovering related resources
  • Content Extraction (get_contents): Get the full content of search result pages, with support for returning clean text or highlighted key snippets
  • Advanced Filtering: Supports filtering results by domain, publication date, and content type (articles/papers/tweets, etc.)

Configuration

{
  "mcpServers": {
    "exa": {
      "command": "npx",
      "args": ["-y", "exa-mcp-server"],
      "env": {
        "EXA_API_KEY": "your-exa-api-key"  // Get from exa.ai
      }
    }
  }
}

Use Cases

  • Technical research: Describe requirements in natural language to find the most relevant open-source projects and technical articles
  • Competitor discovery: Input a product URL to find all similar products and alternatives
  • Academic research: Semantically search for related papers and research findings
  • Content recommendations: Discover similar content based on articles the user has read
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