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Manvendra08
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exa-search

Retrieve context-aware web, code, and entity results via the Exa MCP server.

1|Updated May 12, 2026
Search Tags:#web search#code search#deep research#company research#neural search#people lookup#exa mcp
One-click install
npx skills add https://github.com/Manvendra08/TradingBot --skill exa-search-manvendra08
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/Manvendra08/TradingBot/tree/main/_agent/skills/exa-search
Command: npx skills add https://github.com/Manvendra08/TradingBot --skill exa-search-manvendra08

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the frustration of sifting through irrelevant generic search results when you need accurate, up-to-date information on web topics, code examples, company details, or professional profiles, cutting down research time drastically.

Core Features & Use Cases

  • Neural web search: Pull highly relevant current web results, news, and factual information for any query, perfect for staying updated on industry trends or verifying real-time data.
  • Code context search: Find accurate code snippets, API usage examples, and technical documentation from GitHub, Stack Overflow, and official docs sites, ideal for developers implementing new tools or debugging.
  • Entity research: Look up company funding, competitor details, and professional profiles for business analysis, recruitment, or market research tasks. For example, if you are building a trading bot and need to find the latest NSE option chain API documentation, this skill returns the most relevant official docs and code implementations in seconds.

Quick Start

Use the exa-search skill to find the latest 2026 NSE option chain API documentation and 3 Python code examples for fetching option chain data.

Frequently Asked Questions about exa-search

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

FAQPage Schema
How do I find accurate code examples and API documentation instead of irrelevant generic search results?▼

Neural search finds accurate code examples and API documentation by retrieving context-aware results from GitHub, Stack Overflow, and official docs sites, cutting down research time drastically.

What is the best way to research company funding details and competitor profiles for market analysis?▼

Entity research via neural search retrieves highly relevant company funding, competitor details, and professional profiles, delivering targeted low-noise results for business analysis and recruitment.

Can I use neural search to fetch current web results and technical documentation for development projects?▼

Neural web search pulls highly relevant current web results, news, and factual information, making it ideal for staying updated on industry trends or retrieving technical documentation for development projects.

Does Exa MCP integration support professional profile discovery and people lookup tasks?▼

Exa MCP server integration supports professional profile discovery and people lookup by applying neural search to return highly relevant, context-aware entity results that generic engines miss.

Why does generic search fail to surface accurate technical documentation and code context?▼

Generic search fails to surface accurate technical documentation because it lacks neural search capabilities, which apply context-aware retrieval to deliver targeted, low-noise results for complex web and code queries.

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