exa-search

Search web content, code examples, and professional profiles via Exa MCP.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Rekan-Maqsoud/college-community-app --skill exa-search-rekan-maqsoud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/Rekan-Maqsoud/college-community-app/tree/main/.agent/.agents/skills/exa-search
Command: npx skills add https://github.com/Rekan-Maqsoud/college-community-app --skill exa-search-rekan-maqsoud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Neural search empowers users to quickly access current information, code examples, and professional insights across web, code repositories, and company profiles using Exa MCP.

Core Features & Use Cases

  • Neural search across web content, code examples, and company intel for rapid research.
  • Find professional profiles and domain experts to inform decisions.
  • Support background research for product development, competitive analysis, and technology scouting.

Quick Start

Ask it to perform a search with Exa MCP for your topic to see real-time 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 for web research and competitive analysis?

Neural search for web research retrieves current web content, company profiles, and professional insights using Exa MCP. It applies relevance filtering to deliver scalable results for competitive analysis and product development.

Can I find code examples and references using Exa neural search?

Yes, finding code examples with Exa neural search uses the get_code_context_exa tool to retrieve relevant code snippets and programming references. It queries code repositories to provide context-aware results for your development queries.

What is neural search and how does it work for finding professional profiles?

Neural search locates professional profiles and domain experts by understanding semantic context rather than relying on exact keyword matches. It uses Exa MCP to retrieve current people insights for background research and decision support.

Do I need an Exa MCP server configured to perform neural web searches?

Yes, you need a configured Exa MCP server in your environment to execute neural web searches. The Skill expects this server to be present to operate the web_search_exa and get_code_context_exa tools for retrieving results.

What is the best way to filter neural search results for relevance?

The best way to filter neural search results is to apply the built-in relevance filtering provided by the Exa MCP tools. This ensures the scalable results returned for your web, code, or company queries are closely aligned with your search intent.