exa-search

Search web content, code, and company information via Exa MCP.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/danielkhigay/gaz --skill exa-search-danielkhigay
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/danielkhigay/gaz/tree/main/.claude/skills/exa-search
Command: npx skills add https://github.com/danielkhigay/gaz --skill exa-search-danielkhigay

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • General web search for current information, news, or facts
  • Find code examples, API docs, or technical references
  • Research companies, competitors, and market players
  • Professional profiles and people lookups
  • Background research for development tasks
  • Activation phrases like "search for", "look up", "find", or "what's the latest on"

Quick Start

Use exa-search to retrieve the latest AI developments from the web with 5 results.

Frequently Asked Questions about exa-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use neural search to find current web content and company information?

Neural search for web content and company information is performed via the Exa MCP server, which surfaces real-time results across broad queries for professional research, people discovery, and current facts.

Can I look up code examples and API documentation using web search?

Yes, you can look up code examples and API documentation using the get_code_context_exa tool, which retrieves technical references and code context directly through the configured Exa search server.

Do I need an API key to run real-time web searches for AI assistants?

Yes, real-time web searches require an API key obtained from exa.ai, along with a configured Exa MCP server to enable the neural search functionality across web, code, and company data.

What is the best way to research competitors and market players programmatically?

The best way to research competitors programmatically is using Exa MCP, which applies neural search to targeted queries for gathering current company intelligence and professional profiles.

How does neural search compare to standard keyword search for background research?

Neural search differs from standard keyword search by using the Exa MCP to understand query context, surfacing more relevant current information and technical references for development tasks.

What are the limitations of using an MCP server for web search?

Limitations include requiring a pre-configured Exa MCP server and a valid exa.ai API key, meaning neural search queries will fail if the server connection is inactive or the key is missing.