exa-search

Perform neural web and code search via Exa MCP server.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill exa-search-riftzen-bit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/exa-search
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill exa-search-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enables fast, AI-driven retrieval of current web information, code examples, company intelligence, and people profiles when up-to-date or specialized research is required beyond the assistant's internal knowledge cutoff.

Core Features & Use Cases

  • Neural web search for news, technical articles, and market information using Exa's web_search_exa tool.
  • Code and documentation retrieval using get_code_context_exa to surface examples from GitHub, Stack Overflow, and API docs.
  • Company and people research to gather funding, valuation, role profiles, and public mentions for competitive intelligence or outreach.
  • Use Case: Summarize the top recent articles and pull representative code snippets for a new library, or compile key company metrics and public profiles for due diligence.

Quick Start

Use exa-search to find and summarize the five most relevant recent articles and code examples about WebAssembly adoption.

Frequently Asked Questions about exa-search

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

FAQPage Schema
How do I search the web for current articles and technical examples beyond my AI assistant's knowledge cutoff?

Neural web search retrieves current articles and technical examples by connecting to a configured Exa server. It uses parameterized queries to find real-time information like news, market data, and code examples from GitHub and Stack Overflow.

Can I use neural search to gather company intelligence and people profiles for due diligence?

Neural search gathers company intelligence and people profiles for due diligence by querying public mentions, funding, valuations, and role profiles. It retrieves background information to support competitive intelligence or outreach preparation.

What's the best way to find code context and API documentation for a new library?

Finding code context and API documentation for a new library uses the get_code_context_exa tool. It surfaces relevant code examples and documentation snippets from GitHub, Stack Overflow, and API docs using parameterized queries.

Do I need an Exa MCP server to perform AI-powered web and code search?

An Exa MCP server is required to perform AI-powered web and code search. The server exposes the web_search_exa and get_code_context_exa tools, which execute parameterized queries and return token-limited contexts.

Does neural search work for finding recent news and market information?

Neural search works for finding recent news and market information using the web_search_exa tool. It performs AI-driven retrieval of current web content to satisfy up-to-date research requirements.

What are the limitations of using token-limited contexts for code and web search?

Token-limited contexts restrict the volume of text returned from code and web search queries. This constraint ensures responses fit processing limits but may require multiple targeted queries to retrieve extensive documentation or large codebases.