Exa Search▌
by exa
Empower AI with the Exa MCP Server—an AI research tool for real-time web search, academic data, and smarter, up-to-date
Empower AI assistants like Claude with real-time web data using the Exa MCP Server. This Model Context Protocol server connects AI models to the Exa AI Search API, enabling safe, up-to-date web searches across diverse tools such as academic papers, company data, LinkedIn, Wikipedia, GitHub, and more. Its flexible toolset enhances research, competitor analysis, and content extraction, providing comprehensive information for smarter AI interactions. Designed for seamless integration with Claude Desktop, the Exa MCP Server boosts AI capabilities by delivering fast, reliable, and controlled access to the latest online information.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Researchers needing high-quality web search results
- / Content creators gathering information from specific sources
- / Developers building applications with web search functionality
capabilities
- / Search the web using Exa's AI-powered search engine
- / Filter results by content type and categories
- / Set date ranges for search results
- / Restrict searches to specific domains
- / Customize search parameters and result formatting
what it does
Connects to Exa Search API to perform web searches with advanced filtering options like date ranges, content types, and domain restrictions.
about
Exa Search is an official MCP server published by exa that provides AI assistants with tools and capabilities via the Model Context Protocol. Empower AI with the Exa MCP Server—an AI research tool for real-time web search, academic data, and smarter, up-to-date It is categorized under search web.
how to install
You can install Exa Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Exa Search is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Exa MCP Server
Connect AI assistants to Exa's search capabilities: web search, code search, and company research.
Full Documentation | npm Package | Get Your Exa API Key
Installation
Connect to Exa's hosted MCP server:
https://mcp.exa.ai/mcp
<details>
<summary><b>Cursor</b></summary>
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>VS Code</b></summary>
Add to .vscode/mcp.json:
{
"servers": {
"exa": {
"type": "http",
"url": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>Claude Code</b></summary>
claude mcp add --transport http exa https://mcp.exa.ai/mcp
</details>
<details>
<summary><b>Claude Desktop</b></summary>
Add to your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"exa": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.exa.ai/mcp"]
}
}
}
</details>
<details>
<summary><b>Codex</b></summary>
codex mcp add exa --url https://mcp.exa.ai/mcp
</details>
<details>
<summary><b>OpenCode</b></summary>
Add to your opencode.json:
{
"mcp": {
"exa": {
"type": "remote",
"url": "https://mcp.exa.ai/mcp",
"enabled": true
}
}
}
</details>
<details>
<summary><b>Antigravity</b></summary>
Open the MCP Store panel (from the "..." dropdown in the side panel), then add a custom server with:
https://mcp.exa.ai/mcp
</details>
<details>
<summary><b>Windsurf</b></summary>
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"exa": {
"serverUrl": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>Zed</b></summary>
Add to your Zed settings:
{
"context_servers": {
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>Gemini CLI</b></summary>
Add to ~/.gemini/settings.json:
{
"mcpServers": {
"exa": {
"httpUrl": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>v0 by Vercel</b></summary>
In v0, select Prompt Tools > Add MCP and enter:
https://mcp.exa.ai/mcp
</details>
<details>
<summary><b>Warp</b></summary>
Go to Settings > MCP Servers > Add MCP Server and add:
{
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
</details>
<details>
<summary><b>Kiro</b></summary>
Add to ~/.kiro/settings/mcp.json:
{
"mcpServers": {
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>Roo Code</b></summary>
Add to your Roo Code MCP config:
{
"mcpServers": {
"exa": {
"type": "streamable-http",
"url": "https://mcp.exa.ai/mcp"
}
}
}
</details>
<details>
<summary><b>Other Clients</b></summary>
For clients that support remote MCP:
{
"mcpServers": {
"exa": {
"url": "https://mcp.exa.ai/mcp"
}
}
}
For clients that need mcp-remote:
{
"mcpServers": {
"exa": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.exa.ai/mcp"]
}
}
}
</details>
<details>
<summary><b>Via npm Package</b></summary>
Use the npm package with your API key. Get your API key.
{
"mcpServers": {
"exa": {
"command": "npx",
"args": ["-y", "exa-mcp-server"],
"env": {
"EXA_API_KEY": "your_api_key"
}
}
}
}
</details>
Available Tools
Enabled by Default:
| Tool | Description |
|---|---|
web_search_exa | Search the web for any topic and get clean, ready-to-use content |
get_code_context_exa | Find code examples, documentation, and programming solutions from GitHub, Stack Overflow, and docs |
company_research_exa | Research any company to get business information, news, and insights |
Off by Default:
| Tool | Description |
|---|---|
web_search_advanced_exa | Advanced web search with full control over filters, domains, dates, and content options |
crawling_exa | Get the full content of a specific webpage from a known URL |
people_search_exa | Find people and their professional profiles |
deep_researcher_start | Start an AI research agent that searches, reads, and writes a detailed report |
deep_researcher_check | Check status and get results from a deep research task |
deep_search_exa | Deep search with query expansion and synthesized answers. Requires your own API key — it will not appear in the tools list without one. |
Enable all tools with the tools parameter:
https://mcp.exa.ai/mcp?exaApiKey=YOUR_KEY&tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check,deep_search_exa
Agent Skills (Claude Skills)
Ready-to-use skills for Claude Code. Each skill teaches Claude how to use Exa search for a specific task. Copy the content inside a dropdown and paste it into Claude Code — it handles the rest.
<details> <summary><b>Company Research</b></summary>Copy the content below and paste it into Claude Code. It will set up the MCP connection and skill for you.
Step 1: Install or update Exa MCP
If Exa MCP already exists in your MCP configuration, either uninstall it first and install the new one, or update your existing MCP config with this endpoint. Run this command in your terminal:
claude mcp add --transport http exa "https://mcp.exa.ai/mcp?tools=web_search_advanced_exa"
Step 2: Add this Claude skill
---
name: company-research
description: Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, builds company lists. Use when researching companies, doing competitor analysis, market research, or building company lists.
context: fork
---
# Company Research
## Tool Restriction (Critical)
ONLY use `web_search_advanced_exa`. Do NOT use `web_search_exa` or any other Exa tools.
## Token Isolation (Critical)
Never run Exa searches in main context. Always spawn Task agents:
- Agent runs Exa search internally
- Agent processes results using LLM intelligence
- Agent returns only distilled output (compact JSON or brief markdown)
- Main context stays clean regardless of search volume
## Dynamic Tuning
No hardcoded numResults. Tune to user intent:
- User says "a few" → 10-20
- User says "comprehensive" → 50-100
- User specifies number → match it
- Ambiguous? Ask: "How many companies would you like?"
## Query Variation
Exa returns different results for different phrasings. For coverage:
- Generate 2-3 query variations
- Run in parallel
- Merge and deduplicate
## Categories
Use appropriate Exa `category` depending on what you need:
- `company` → homepages, rich metadata (headcount, location, funding, revenue)
- `news` → press coverage, announcements
- `tweet` → social presence, public commentary
- `people` → LinkedIn profiles (public data)
- No category (`type: "auto"`) → general web results, deep dives, broader context
Start with `category: "company"` for discovery, then use other categories or no category with `livecrawl: "fallback"` for deeper research.
### Category-Specific Filter Restrictions
When using `category: "company"`, these parameters cause 400 errors:
- `includeDomains` / `excludeDomains`
- `startPublishedDate` / `endPublishedDate`
- `startCrawlDate` / `endCrawlDate`
When searching without a category (or with `news`), domain and date filters work fine.
**Universal restriction:** `includeText` and `excludeText` only support **single-item arrays**. Multi-item arrays cause 400 errors across all categories.
## LinkedIn
Public LinkedIn via Exa: `category: "people"`, no other filters.
Auth-required LinkedIn → use Claude in Chrome browser fallback.
## Browser Fallback
Auto-fallback to Claude in Chrome when:
- Exa returns insufficient results
- Content is auth-gated
- Dynamic pages need JavaScript
## Examples
### Discovery: find companies in a space
```
web_search_advanced_exa {
"query": "AI infrastructure startups San Francisco",
"category": "company",
"numResults": 20,
"type": "auto"
}
```
### Deep dive: research a specific company
```
web_search_advanced_exa {
"query": "Anthropic funding rounds valuation 2024",
"type": "deep",
"livecrawl": "fallback",
"numResults": 10,
"includeDomains": ["techcrunch.com", "crunchbase.com", "bloomberg.com"]
}
```
### News coverage
```
web_search_advanced_exa {
"query": "Anthropic AI safety",
"category": "news",
"numResults": 15,
"startPublishedDate": "2024-01-01"
}
```
### LinkedIn profiles
```
web_search_advanced_exa {
"query": "VP Engineering AI infrastructure",
"category": "people",
"numResults": 20
}
```
## Output Format
Return:
1) Results (structured lis
---
FAQ
- What is the Exa Search MCP server?
- Exa Search is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Exa Search?
- This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Web Research & Information Gathering
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Content Monitoring & Alerts
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Data Extraction & Aggregation
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
API-less Integration
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Implementation Guide▌
Prerequisites
- ›Claude Desktop or Cursor with MCP support
- ›Understanding of web scraping ethics and robots.txt
- ›Rate limiting awareness to avoid overwhelming target sites
- ›Knowledge of legal restrictions on data collection
Time Estimate
20-40 minutes including configuration and testing
Installation Steps
- 1.Install web automation MCP server via npm or pip
- 2.Configure allowed domains and rate limits in MCP config
- 3.Test with simple fetch: 'Get content from example.com'
- 4.Progress to extraction: 'Extract all product prices from this page'
- 5.Set up monitoring: 'Check this URL daily for changes'
- 6.Parse structured data: 'Create CSV from this table'
- 7.Respect robots.txt and rate limits always
Troubleshooting
- ⚠403 Forbidden: Website blocks bots—respect their wishes, use official API instead
- ⚠Rate limit errors: Slow down requests, add delays between fetches
- ⚠Stale data: Target site changed HTML structure—update selectors
- ⚠Timeout errors: Site is slow or blocking—increase timeout, try different user agent
- ⚠JavaScript-rendered content: Use headless browser MCP servers for dynamic sites
Best Practices▌
✓ Do
- +Check robots.txt and respect crawl rules
- +Rate limit requests: 1-2 requests/second maximum
- +Use official APIs when available instead of scraping
- +Identify your bot with descriptive user agent
- +Cache results to minimize repeated requests
- +Handle errors gracefully with retries and fallbacks
- +Validate extracted data for accuracy
✗ Don't
- −Don't scrape sites that explicitly forbid it (robots.txt, ToS)
- −Don't overwhelm servers with rapid requests—use rate limiting
- −Don't scrape personal data without consent and legal basis
- −Don't ignore copyright on extracted content
- −Don't assume HTML structure is stable—handle changes
- −Don't use scraped data for commercial purposes without permission
💡 Pro Tips
- ★Use CSS selectors or XPath for robust data extraction
- ★Set up monitoring alerts for extraction failures (structure changed)
- ★Implement exponential backoff for retries on failures
- ★Store raw HTML for reprocessing if extraction logic changes
- ★Combine with data analysis tools for insights from extracted data
- ★Consider using official APIs or RSS feeds as more stable alternatives
Technical Details▌
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
- HTTP/HTTPS
- WebSocket (for real-time sites)
- Puppeteer/Playwright (for JavaScript sites)
Compatibility
- Static HTML sites
- JavaScript-rendered SPAs (with headless browser)
- REST APIs
- GraphQL endpoints
When to Use This▌
✓ Use When
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid When
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Integration▌
- →Scheduled monitoring with change detection
- →Multi-source data aggregation pipelines
- →Fallback to web scraping when API rate limits hit
- →Headless browser for JavaScript-heavy sites
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★55 reviews- ★★★★★Liam Ramirez· Dec 24, 2024
According to our notes, Exa Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mateo Brown· Dec 24, 2024
Strong directory entry: Exa Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Luis Tandon· Dec 20, 2024
I recommend Exa Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Dec 8, 2024
I recommend Exa Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Luis Iyer· Dec 8, 2024
Useful MCP listing: Exa Search is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Hana Sharma· Dec 8, 2024
According to our notes, Exa Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Nov 27, 2024
According to our notes, Exa Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Hana Srinivasan· Nov 15, 2024
I recommend Exa Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Arjun Kapoor· Nov 11, 2024
According to our notes, Exa Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Henry Farah· Nov 3, 2024
Useful MCP listing: Exa Search is the kind of server we cite when onboarding engineers to host + tool permissions.
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