# Exa AI MCP for AI Agents AI Agent Connect

> Exa AI lets you search the web using neural embeddings that actually understand what you're looking for. It moves past basic keyword matching to find relevant pages, extract clean text without the ads, and map out entire site structures. It's built for anyone who needs high-quality web data for research or automated pipelines without the mess of traditional scraping.

## Overview
- **Category:** ai-frontier
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_GCqO6o04ZRimeEsFnVvzlQpLEYDavWlcJmTZJuzX/ai-agent-connect
- **Tags:** neural-search, semantic-search, content-intelligence, web-research, embeddings, data-extraction

## Description

You're tired of your AI client returning junk results because it's stuck matching exact words instead of concepts. This Connector changes that by connecting your agent to a neural search engine that understands intent. When you ask for something, it finds the right pages based on meaning. It handles the heavy lifting of cleaning up the data too, pulling out just the text or specific highlights while tossing out the ads and navigation menus. If you're building a research pipeline, you can use it to find similar websites or map out every link on a domain to see how a competitor is structured. It's a lot easier than writing custom scrapers that break every time a site updates. You can find this in the Vinkius catalog to get your research agent up and running in minutes. It turns your AI into a researcher that actually knows how to navigate the web. You get to stop worrying about messy HTML and start focusing on the actual information you need to get the job done.

## Tools

### keyword_search
Search for results using exact phrases. This is best for when you know the specific term you need.

### advanced_custom_search
Run complex queries with multiple parameters. Use this for highly specific search requirements.

### find_similar_pages
Locate pages that are semantically related to a URL. It helps build high-fidelity research sets.

### get_api_status
Check if your connection to the service is active. Use it to troubleshoot your setup quickly.

### extract_page_content
Get the full text from a webpage. It automatically removes ads and boilerplate.

### get_query_highlights
Pull out the most relevant snippets from a page. This saves time when you only need specific info.

### perform_live_crawl
Extract fresh data from a live website. It's great for getting the latest updates.

### search_with_contents
Search the web and extract text in one go. This combines finding and scraping into one action.

### search_by_category
Filter your results by site type like news or blogs. It helps narrow down the source material.

### search_by_crawl_date
Find pages based on when they were last indexed. Use this to get the freshest content.

### search_specific_domains
Limit your search to a specific set of websites. This is perfect for deep-diving into one brand.

### semantic_search
Perform an AI-native search based on meaning. This is the core tool for finding relevant info.

## Prompt Examples

**Prompt:** 
```
Find the latest news on solid-state batteries and give me the main highlights.
```

**Response:** 
```
### Latest Solid-State Battery News

I've found several key updates from the last 30 days:

| Source | Key Finding |
| :--- | :--- |
| **Tech Journal** | New breakthrough in sulfide-based electrolytes.
| **Energy Daily** | Major manufacturer announces pilot production line.
| **Science Wire** | Improved cycle life achieved in prototype cells.

**Highlights:**
* **Breakthrough:** Researchers solved the dendrite growth issue using a new coating.
* **Production:** Scaling is moving from lab to factory in Q4.
* **Cycle Life:** New prototypes reached 1,000+ cycles with 90% retention.
```

**Prompt:** 
```
I have this URL for a new AI startup. Find 5 other websites that are doing something similar.
```

**Response:** 
```
I've analyzed the startup's focus on **generative video for marketing**. Here are 5 semantically similar companies:

1. **VideoGenix** - Focuses on automated social media clips.
2. **MotionFlow** - Enterprise-level video generation for ads.
3. **ClipCraft AI** - Specialized in short-form TikTok content.
4. **Synthetix Media** - High-fidelity cinematic video tools.
5. **AdStream AI** - Dynamic video ad creation for e-commerce.

Would you like me to extract highlights from any of these?
```

**Prompt:** 
```
Get the clean text from this blog post so I can summarize it for a meeting.
```

**Response:** 
```
I've extracted the clean content from the blog post. Here is the main text (ads and sidebars removed):

**Title: The Future of Neural Search**

*The shift from keyword-based indexing to neural embeddings represents a fundamental change in how we interact with data. Instead of looking for 'blue shoes,' systems now understand 'comfortable footwear for summer.' This allows for:* 

* *Higher relevance in complex queries*
* *Better handling of synonyms*
* *Discovery of related concepts naturally*

*I'm ready to summarize this for your meeting whenever you're ready.*
```

## Capabilities

### Find pages by meaning
Use semantic_search to get results based on intent rather than just keywords.

### Pull out clean text
Use extract_page_content to get the actual body text from a URL without the noise.

### Get specific highlights
Use get_query_highlights to grab only the parts of a page that matter to your query.

### Discover similar sites
Use find_similar_pages to find websites that match a specific source URL.

### Map out site structures
Use perform_live_crawl to see all reachable links and metadata on a domain.

### Filter by category
Use search_by_category to narrow results to news, blogs, or company sites.

### Filter by date
Use search_by_crawl_date to find the most recent web data.

## Use Cases

### Building a RAG system
A developer asks the agent to find 50 articles on green energy and extract the highlights. The agent uses search_with_contents to gather clean data.

### Competitor mapping
A researcher wants to know how many blogs a rival has. The agent uses perform_live_crawl to map the domain.

### Finding similar products
An analyst provides a URL and asks for similar news. The agent uses find_similar_pages to find related content.

### Cleaning up research
A user wants the text from a long Wikipedia page without the sidebars. The agent uses extract_page_content to provide a clean version.

## Benefits

- Stop fighting with keywords. Use semantic_search to get results that actually match what you mean, not just what you typed.
- Get clean data instantly. Use extract_page_content to skip the ads and menus, getting just the text you need for your project.
- Build better RAG pipelines. Use search_with_contents to feed your agent high-quality, parsed data from across the web.
- Map out competitors. Use perform_live_crawl to see every link on a domain and understand how a site is structured.
- Find related content fast. Use find_similar_pages to discover new sources that match your existing research interests.
- Narrow your search. Use search_by_category and search_by_crawl_date to keep your results relevant and up to date.

## How It Works

The bottom line is you get high-quality, cleaned web data without the manual scraping.

1. Get your API key from the Exa AI dashboard in the settings section.
2. Add this Connector to your AI client and paste your API key to establish the connection.
3. Ask your agent to find specific research topics or extract text from live URLs.

## Frequently Asked Questions

**How does Exa AI help with web research?**
It uses neural embeddings to find results that match your intent, not just your keywords. This means your agent finds more relevant pages for complex queries.

**Can I use Exa AI to get clean text from a website?**
Yes, it automatically strips out ads and boilerplate content. You get a clean version of the page text that's much easier for your agent to process.

**How do I find similar websites using Exa AI?**
You can provide a specific URL and the Connector will find other pages that are semantically similar. This is great for building research datasets.

**Can Exa AI help me map out a competitor's website?**
It can perform a live crawl to discover all reachable links on a domain. This helps you understand a site's structure and content map quickly.

**Does Exa AI work for RAG pipelines?**
It's a great choice for RAG because it can search for and extract text in one step. This ensures your agent is getting high-quality data from the web.

**Is Exa AI better than a normal Google search for my agent?**
It's better when you need semantic understanding. While Google is great for keywords, Exa AI is built to understand the meaning behind your request.

**How do I find my Exa AI API Key?**
Log in to your [**Exa AI dashboard**](https://dashboard.exa.ai/), and copy your unique API Key from the settings section.

**What makes semantic search different?**
Traditional search uses keywords. Semantic search uses neural embeddings to understand the meaning and context of your query, finding better matches.

**Can I extract text from multiple URLs at once?**
Yes! The `extract_page_content` tool accepts a JSON array of URLs and retrieves the parsed content for all of them programmatically.