mcpbeat Sign in

Exa Search Skill for Claude

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

846 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
265
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/loulanyue/awesome-claude-notes --skill exa-search

The instruction itself

13 sections, as written by the author

Neural search for web content, code, companies, and people via the Exa MCP server.

When to Activate

  • User needs current web information or news
  • Searching for code examples, API docs, or technical references
  • Researching companies, competitors, or market players
  • Finding professional profiles or people in a domain
  • Running background research for any development task
  • User says "search for", "look up", "find", or "what's the latest on"

MCP Requirement

Exa MCP server must be configured. Add to ~/.claude.json:

"exa-web-search": {
  "command": "npx",
  "args": ["-y", "exa-mcp-server"],
  "env": { "EXA_API_KEY": "YOUR_EXA_API_KEY_HERE" }
}

Get an API key at exa.ai.

This repo's current Exa setup documents the tool surface exposed here: web_search_exa and get_code_context_exa.

If your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.

Core Tools

web_search_exa

General web search for current information, news, or facts.

web_search_exa(query: "latest AI developments 2026", numResults: 5)

Parameters:

| Param | Type | Default | Notes |

|-------|------|---------|-------|

| query | string | required | Search query |

| numResults | number | 8 | Number of results |

| type | string | auto | Search mode |

| livecrawl | string | fallback | Prefer live crawling when needed |

| category | string | none | Optional focus such as company or research paper |

get_code_context_exa

Find code examples and documentation from GitHub, Stack Overflow, and docs sites.

get_code_context_exa(query: "Python asyncio patterns", tokensNum: 3000)

Parameters:

| Param | Type | Default | Notes |

|-------|------|---------|-------|

| query | string | required | Code or API search query |

| tokensNum | number | 5000 | Content tokens (1000-50000) |

Usage Patterns

Quick Lookup

web_search_exa(query: "Node.js 22 new features", numResults: 3)

Code Research

get_code_context_exa(query: "Rust error handling patterns Result type", tokensNum: 3000)

Company or People Research

web_search_exa(query: "Vercel funding valuation 2026", numResults: 3, category: "company")
web_search_exa(query: "site:linkedin.com/in AI safety researchers Anthropic", numResults: 5)

Technical Deep Dive

web_search_exa(query: "WebAssembly component model status and adoption", numResults: 5)
get_code_context_exa(query: "WebAssembly component model examples", tokensNum: 4000)

Tips

  • Use web_search_exa for current information, company lookups, and broad discovery
  • Use search operators like site:, quoted phrases, and intitle: to narrow results
  • Lower tokensNum (1000-2000) for focused code snippets, higher (5000+) for comprehensive context
  • Use get_code_context_exa when you need API usage or code examples rather than general web pages
  • deep-research — Full research workflow using firecrawl + exa together
  • market-research — Business-oriented research with decision frameworks

원문

  • 영문 원문

탐색

  • 한국어 문서 안내
  • 기여 가이드

Other skills for the same job

different authors, same section of the catalogue
Hugging Science
by K-Dense-AI
×1

Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.

12k tokens scripts
Huggingface Paper Publisher
by openai
vendor ×1

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

19k tokens scripts
Exa Search
by lingxling
×1

Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).

363 tokens
AI RAG Pipeline
by ComeOnOliver
×1

Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline

5k tokens
AI RAG Pipeline
by ComeOnOliver
×1

| Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline

7k tokens
Web Search
by ComeOnOliver
×1

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

5k tokens
Web Search
by ComeOnOliver
×1

Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative

3k tokens
Autonomous Investigation
by deanpeters

The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.

6k tokens

How to use it

Copy the folder

Take loulanyue/awesome-claude-notes-exa-search from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.