What problem does it solve? Finding current web information, code examples, and company intelligence requires switching between search engines and manually filtering results. This Skill connects the AI assistant to Exa's neural search engine through MCP, enabling semantic web search and code context retrieval directly in the conversation. ## Core Features & Use Cases - Neural Web Search: Query current information, news, companies, and people using the web_search_exa tool with result count, category, and live crawl controls. - Code Context Retrieval: Pull code examples and API documentation from GitHub, Stack Overflow, and docs sites using get_code_context_exa with adjustable token budgets. - Use Case: While implementing a Rust feature, ask the assistant to find error handling patterns; it calls get_code_context_exa and returns relevant code snippets and documentation without leaving the chat. ## Quick Start Configure the Exa MCP server with your API key, then ask the assistant to search for the latest Node.js 22 features or find Python asyncio code examples.