Exa AI MCP. Web research, content auditing, and link discovery via AI agent.
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Exa AI connects your agent to a web search engine built for AI. It lets your agent search the web semantically using natural language, find similar websites based on a URL, and pull cleaned content from any search result.
It's a full web discovery toolkit for agents, giving you everything from link discovery to content auditing without opening a browser.
What your AI agents can do
Find similar
Finds websites that are structurally or thematically similar to a URL you provide.
Get api usage
Checks your current API quota and overall crawl statistics.
Get contents
Retrieves the clean HTML or text content using a specific Exa result ID.
Your agent queries the web using natural language, retrieving results based on semantic meaning rather than exact keywords.
Your agent takes a URL and returns a list of websites that are structurally or thematically similar to the provided link.
Your agent retrieves the clean HTML or plain text content for a specific search result ID.
Your agent runs a query and gets only the top, most relevant links without fetching full content.
Your agent executes a single call that searches the web and retrieves the full content of the best result immediately.
Your agent checks your API quota and crawl usage statistics to track your research budget.
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Exa AI MCP Server: 6 Tools for Web Discovery
Use these tools to search the web by meaning, find related sites, and pull clean content into your agent's workflow.
019d8437find similar
Finds websites that are structurally or thematically similar to a URL you provide.
019d8437get api usage
Checks your current API quota and overall crawl statistics.
019d8437get contents
Retrieves the clean HTML or text content using a specific Exa result ID.
019d8437get search links
Gets only the top, most relevant links for a search query, skipping full content retrieval.
019d8437search web
Searches the web using natural language and semantic understanding.
019d8437search with contents
Searches the web and retrieves the full, clean content of the top result in one API call.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Exa AI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your agent can use the search_web tool to query the web using natural language, pulling results based on semantic meaning instead of just matching keywords. You can use get_search_links to get only the top, most relevant links for a search query, skipping the need to fetch full content. If you need the full content, search_with_contents searches the web and pulls the clean content of the best result in one call.
For auditing, you can use get_contents to retrieve the clean HTML or plain text content using a specific Exa result ID. You can feed a URL into find_similar and it returns a list of websites that are structurally or thematically similar to that link. You can check your research budget and overall crawl stats by calling get_api_usage.
How Exa AI MCP Works
- 1 Subscribe to the Exa AI server and provide your unique Exa API Key.
- 2 Connect the server to your AI client (e.g., Claude, Cursor).
- 3 Prompt your agent to execute a web discovery task, like 'Search for X and give me the content of the top result.' The agent calls
search_with_contents.
The bottom line is you pass your API key once, and your agent can then perform complex, multi-step web analysis using the tools.
Who Is Exa AI MCP For?
Research analysts and knowledge workers need this. They need to run deep market research or audit niche industry trends without manually opening ten different browser tabs. It's for the developer who needs to verify content and audit search relevancy for agent applications.
Runs semantic searches to monitor competitor links and gather structured data on market trends straight from their workflow.
Uses get_contents and search_web to verify content extraction and audit search relevance for agentic applications.
Performs rapid audits of related sources using find_similar and retrieves site summaries through natural language prompts.
What Changes When You Connect
- Deep research: Use
search_webto query the web based on meaning, not just keywords. This moves your research past simple keyword matching. - Competitor analysis: Run
find_similaragainst any URL. It instantly surfaces related sites, helping you map out competitor landscapes. - Full content access: With
search_with_contents, you search and get the full article text in one go. No need to click through a browser. - Structured data:
get_search_linkspulls just the top links for a query. This is faster than a full search and ideal for quick link lists. - Data audit: Use
get_contentsto pull cleaned HTML/text content. This lets you maintain a structured view of web data for later processing. - Budget control:
get_api_usagemonitors your crawl stats, so you always know how much research you've done and what your budget looks like.
Real-World Use Cases
Mapping a Competitor's Ecosystem
A marketing team needs to know who else is covering 'Quantum Computing' besides their main site. They ask their agent to run find_similar on their main site's URL. The agent returns a list of similar sites, immediately giving the team a roadmap of related industry sources.
Deep Dive Market Research
A research analyst needs to compare claims about 'Climate Change mitigation' across five sources. They prompt their agent to use search_web and then call get_contents on the top results. This compiles the full, clean text from multiple sites for comparison, all without leaving the agent interface.
Article Content Verification
An AI developer builds an agent that needs to know if a search snippet is accurate. They use the agent to run search_with_contents and verify the full, clean text of the top result, ensuring their application is grounded in verified data.
Quick Link Gathering for a Briefing
An operations lead needs 10 high-quality links on 'AI Ethics' for a board meeting. Instead of searching and filtering, they tell their agent to use get_search_links. It instantly returns a curated list of the top links, saving minutes of manual sorting.
The Tradeoffs
Treating the server as a simple search bar
Just running search_web and expecting a nicely formatted, summarized article. This only gives you a list of links; you still need to pull the content manually.
→
If you need the actual text, use search_with_contents. This tool performs the search and pulls the full, cleaned article body in a single call. It's the most direct way to get the content.
Ignoring the need for context
Running find_similar without a specific URL. The tool requires a URL to work, and the agent needs that input to find related sites.
→
Always provide the target URL. If you want to compare a competitor, feed the URL into find_similar. The agent can't guess the context.
Over-relying on one tool
Using only get_search_links for a deep dive. This only gives you titles and links, not the actual body text needed for analysis.
→
Use a multi-step process. Start with search_web for a list of candidates. Then, use get_search_links to narrow the focus, and finally, use get_contents on the specific IDs you need.
When It Fits, When It Doesn't
Use this server if your core need is web discovery and content auditing. You need to perform deep research where the data source is the web, and you need the results in a structured, machine-readable format. Use it when you need to compare sites or pull clean text from articles.
Don't use this if you just need simple fact-checking on a known topic, or if you are only tracking API usage. For simple fact-checking, your agent might prefer a general knowledge model. If you just need a list of links without content, get_search_links is enough. If you need to know how many calls you've made, use get_api_usage.
In short: If the task involves reading the web, use Exa AI. If the task is purely about managing the interaction, use the other tools.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Exa AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually researching a topic means opening ten tabs and copy-pasting results.
Today, deep research means opening a dozen tabs. You copy a URL, switch to a new tab to check a competitor, and then copy the summary from a third source. You spend hours clicking through search results, manually vetting content, and piecing together a coherent narrative.
With Exa AI, you tell your agent the goal. It runs the necessary tools—like `search_web` and `get_contents`—and gives you the clean, compiled data right in the chat. You get the full analysis, not just the links.
Exa AI MCP Server: Get content and audit links with one call.
Previously, getting a search result's full content required multiple steps: finding the ID, then making a separate API call, then processing the messy HTML. It was a multi-step, error-prone workflow.
Now, `search_with_contents` handles the whole thing. You run one prompt, and the agent gets the web search results *and* the clean content from the best link. It's instant and reliable.
Common Questions About Exa AI MCP
How do I use `search_web` and `search_with_contents` differently? +
Use search_web when you just need a list of semantically relevant links. Use search_with_contents when you need the actual, clean text content from the top search result immediately.
What is `find_similar` used for? +
find_similar takes a URL and returns a list of websites that share a similar topic or structure. This is best for competitive research or finding related sources.
Can I get the raw text from a search result? How does `get_contents` work? +
Yes. get_contents takes a specific Exa ID and pulls the clean HTML or plain text content. It's useful for feeding structured data into another application.
How do I monitor my spending with `get_api_usage`? +
get_api_usage checks your current crawl statistics and API quota. This keeps you in control of your research budget.
What is the difference between `get_search_links` and `search_web`? +
search_web provides a general semantic search. get_search_links is more specific; it gives you only the top links for a query, without the full content.
How does `search_with_contents` handle retrieving the full text when I need it for deep analysis? +
It retrieves the full content and search results in a single call. This is better than calling search_web and then get_contents separately, because it keeps your agent's response fast and structured.
If I get an error using `find_similar`, what does that mean about the provided URL? +
An error usually means the URL is inaccessible or malformed. You should check the URL's formatting and ensure it's publicly available for the agent to crawl.
Does `get_search_links` provide more than just the top few links for a query? +
No, get_search_links is designed to give you only the top links for a search query. If you need the actual content, you'll need to use get_contents on those specific IDs.
How do I find my Exa API Key? +
Log in to your Exa.ai dashboard, and you will find your API Key on the API Keys page. Copy and paste it below.
What makes Exa search 'semantic'? +
Exa uses neural embeddings to understand the meaning behind your query, allowing it to find results that are contextually related even if they don't share exact keywords.
Can the agent find sites similar to a blog post? +
Yes. Use the find_similar tool providing the URL of the blog post. Your agent will return a list of sources with similar topics or writing styles instantly.
Multi-server workflows that include Exa AI MCP
MCP Recipe for an AI-Powered RSS Intelligence Feed
You follow 60 RSS feeds and read 2% of the articles , your agent reads all of them, finds semantically related content that no RSS feed covers using neural search, and delivers a curated intelligence digest
Track Competitor Moves Using MCP Servers
Google Alerts sends you irrelevant noise. Exa understands meaning , it finds the blog post where your competitor quietly announced a pricing change buried in paragraph 7 of a product update, because semantic search reads intent, not just keywords
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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