139 lines
4.6 KiB
Markdown
139 lines
4.6 KiB
Markdown
# Exa Search Examples
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## Web Search Examples
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### Latest News & Current Events
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```bash
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mcporter call 'exa.web_search_exa(query: "latest AI breakthroughs 2026", numResults: 5)'
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mcporter call 'exa.web_search_exa(query: "quantum computing news", type: "fast")'
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```
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### Research Topics
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```bash
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mcporter call 'exa.web_search_exa(query: "how does RAG work in LLMs", type: "deep", numResults: 8)'
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mcporter call 'exa.web_search_exa(query: "best practices for API design", numResults: 5)'
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```
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### Product Information
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```bash
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mcporter call 'exa.web_search_exa(query: "M4 Mac Mini specifications and reviews")'
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mcporter call 'exa.web_search_exa(query: "comparison of vector databases", type: "deep")'
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```
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## Code Context Search Examples
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### Programming Language Basics
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```bash
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mcporter call 'exa.get_code_context_exa(query: "Python asyncio basics and examples", tokensNum: 3000)'
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mcporter call 'exa.get_code_context_exa(query: "Rust ownership and borrowing tutorial")'
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```
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### Framework & Library Usage
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```bash
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mcporter call 'exa.get_code_context_exa(query: "React useState and useEffect hooks examples", tokensNum: 2000)'
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mcporter call 'exa.get_code_context_exa(query: "Next.js 14 app router authentication middleware")'
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mcporter call 'exa.get_code_context_exa(query: "Express.js error handling best practices", tokensNum: 4000)'
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```
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### Specific API & SDK Documentation
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```bash
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mcporter call 'exa.get_code_context_exa(query: "Stripe checkout session implementation", tokensNum: 5000)'
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mcporter call 'exa.get_code_context_exa(query: "AWS S3 SDK upload examples Python")'
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mcporter call 'exa.get_code_context_exa(query: "Discord.js bot slash commands")'
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```
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### Debugging & Solutions
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```bash
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mcporter call 'exa.get_code_context_exa(query: "fixing CORS errors in Node.js Express")'
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mcporter call 'exa.get_code_context_exa(query: "pandas dataframe memory optimization techniques", tokensNum: 4000)'
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```
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## Company Research Examples
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### Startups & Tech Companies
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```bash
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mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
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mcporter call 'exa.company_research_exa(companyName: "Perplexity AI")'
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mcporter call 'exa.company_research_exa(companyName: "Scale AI", numResults: 5)'
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```
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### Public Companies
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```bash
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mcporter call 'exa.company_research_exa(companyName: "Microsoft")'
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mcporter call 'exa.company_research_exa(companyName: "NVIDIA", numResults: 5)'
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```
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### Research Queries
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```bash
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# Find funding info
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mcporter call 'exa.company_research_exa(companyName: "OpenAI", numResults: 5)'
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# Recent news
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mcporter call 'exa.company_research_exa(companyName: "Tesla", numResults: 3)'
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```
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## Parameter Guidance
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### `type` parameter (web_search_exa)
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- `"auto"` - Balanced search (default)
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- `"fast"` - Quick results, less comprehensive
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- `"deep"` - Thorough research, slower but more complete
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### `tokensNum` parameter (get_code_context_exa)
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- `1000-2000` - Focused queries, specific examples
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- `3000-5000` - Standard documentation lookup (default: 5000)
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- `5000-10000` - Comprehensive guides and tutorials
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- `10000-50000` - Deep dives, full API documentation
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### `numResults` parameter
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- `3-5` - Quick lookup, specific answer
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- `5-8` - Standard research (default for web: 8, company: 5)
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- `10+` - Comprehensive research, multiple perspectives
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## Advanced Tools Examples (Off by Default)
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### Deep Search
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```bash
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# Comprehensive research
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mcporter call 'exa-full.deep_search_exa(query: "AI safety alignment research comprehensive overview")'
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# Multi-perspective exploration
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mcporter call 'exa-full.deep_search_exa(query: "climate change solutions technology innovation")'
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```
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### Advanced Web Search
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```bash
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# Search with domain filters
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mcporter call 'exa-full.web_search_advanced_exa(query: "machine learning tutorials", includeDomains: ["github.com", "arxiv.org"])'
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# Search with date range
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mcporter call 'exa-full.web_search_advanced_exa(query: "AI developments", startPublishedDate: "2026-01-01")'
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```
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### Crawling
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```bash
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# Extract content from specific URL
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mcporter call 'exa-full.crawling_exa(url: "https://anthropic.com/news/claude-3-5-sonnet")'
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# Get clean text from article
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mcporter call 'exa-full.crawling_exa(url: "https://example.com/article")'
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```
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### People Search
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```bash
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# Find professional profiles
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mcporter call 'exa-full.people_search_exa(query: "Yann LeCun AI researcher")'
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# Research individuals
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mcporter call 'exa-full.people_search_exa(query: "Demis Hassabis DeepMind")'
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```
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### Deep Researcher
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```bash
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# Start a research task
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mcporter call 'exa-full.deep_researcher_start(topic: "quantum computing applications in cryptography", depth: "comprehensive")'
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# Check research status (use taskId from start response)
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mcporter call 'exa-full.deep_researcher_check(taskId: "abc123")'
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```
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