exa-search

Query the Exa MCP neural search engine for ranked web results.

3|2|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/agentmatters/mullai-bot --skill exa-search-agentmatters
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/agentmatters/mullai-bot/tree/main/src/Mullai.Skills/Skills/claude-code-everything/exa-search
Command: npx skills add https://github.com/agentmatters/mullai-bot --skill exa-search-agentmatters

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Neural search enables fast access to current information, code examples, company intel, and people insights by querying Exa MCP instead of manual browsing.

Core Features & Use Cases

  • General web search for current information and news using Exa MCP.
  • Retrieve code context and examples from repositories for technical references.
  • Research companies and professionals for due diligence and market insights.
  • Use Case: When you need up-to-date information across domains with credible sources.

Quick Start

Ask the AI to perform a web search with Exa MCP for your topic and return code examples and company insights.

Frequently Asked Questions about exa-search

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

FAQPage Schema
What is neural search and how does it help with web research?

Neural search enables fast access to current information and credible sources by querying the Exa MCP engine instead of manual browsing, returning ranked results across web content, code samples, and company intel.

How do I retrieve code context and examples from repositories?

You retrieve code context and examples by applying the get_code_context_exa tool through Exa MCP, which accepts a query and optional parameters like numResults to return ranked technical references from repositories.

Can I use neural search for company research and due diligence?

Yes, neural search supports researching companies and professionals for due diligence and market insights by querying Exa MCP with category filtering to return targeted company intelligence.

What's the best way to find current information across multiple domains?

The best way to find current information across domains is querying Exa MCP with category filtering, which applies neural search to return ranked, credible results for web content, code, and people insights.

Does Exa MCP support filtering results by category?

Yes, Exa MCP supports category filtering alongside optional parameters like numResults, allowing you to refine neural search queries to return specific types of ranked web content or code references.

When should I not use neural search for information retrieval?

Neural search is not ideal when you require static, archived data rather than current information, or when manual browsing is more efficient for highly specific, non-indexed content not available through Exa MCP.