Exa MCP Server
Connect to the Exa MCP server to run neural web search, pull clean page content, get cited answers, and launch deep-research tasks using AI agents on Gumloop, Claude, or Cursor.
Try Exa now
Type what you want done. Sign in and run it live with an AI agent.
|
Exa
Installation
Get StartedCreate a Gumloop Account
To use this MCP, you need a Gumloop account. If you don't have one yet, you can create one for free.
Copy Your Server URL
Copy your MCP server URL and add it to your client. You'll be prompted to authorize on first use.
Tools (6)
Search
Intelligently search the web using Exa's neural and keyword search. Returns relevant results with optional content extraction including text, highlights, and summaries.
Get Contents
3 per itemGet full page contents, summaries, and metadata for a list of URLs. Returns instant results from cache with automatic live crawling as fallback.
Find Similar
5 per itemFind similar links to a provided URL using Exa's neural similarity search. Useful for discovering related content and research.
Answer
10 creditsGet an LLM-generated answer to a question informed by Exa search results. Returns either a direct answer for specific queries or a detailed summary with citations for open-ended queries.
Create Research Task
600 creditsCreate an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations. Returns immediately with a researchId for polling completion status.
Get Research Task
5 creditsRetrieve the status and results of a previously created research task. Poll this endpoint until status is 'completed', 'failed', or 'canceled'.
What is Exa MCP?
The Exa MCP server gives AI agents access to Exa’s AI-native web search and research API. That means agents can run neural, keyword, and hybrid web searches, pull full page contents with highlights and summaries, find pages similar to a given URL, get LLM-generated answers backed by citations, and launch asynchronous deep-research tasks that gather and synthesize sources from across the web. Every result comes back inline as clean, LLM-ready data, so an agent can search the live web and act on what it finds in the same run.
If your team spends time digging through search results, copying page text into documents, chasing down sources for a research summaries, or stitching together findings by hand, an AI agent can take over a lot of that work. Describe what you need, and your AI agent will handle the research for you.
MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of coding against the Exa API, managing an API key, and parsing JSON responses yourself, you connect Exa to Gumloop once. The connection is built in, so there’s nothing to set up to get started. After that, you can search the web and run deep research just by chatting with your AI agent.
Related MCP servers
Firecrawl MCP Server
Search, scrape, and map websites using Firecrawl's web data API
Parallel MCP Server
Extract content from web URLs using Parallel AI
Semrush MCP Server
Access Semrush SEO and digital marketing analytics data
Ahrefs MCP Server
Access Ahrefs SEO and backlink analytics data
Google Sheets MCP Server
Read, write and update your Google Sheets
Slack MCP Server
Interact with Slack channels and messages
What you can do with Exa MCP on Gumloop
Run neural, keyword, and hybrid web search
Search the live web with Exa’s neural model, classic keyword matching, or a hybrid of both, and optionally pull text, highlights, or summaries with each result. Pagination lets an agent work through deeper result sets when one page isn’t enough.
Pull clean, LLM-ready page content
Give Exa a list of URLs and get back full page contents, summaries, and metadata. Results come from Exa’s cache instantly, with a live-crawl fallback when a page isn’t cached yet.
Get cited answers to a question
Ask a question and Exa returns an answer informed by its search results. You get a direct answer for specific queries, or a cited summary for open-ended ones, so an agent can ground its response in real sources.
Find pages similar to a URL
Point Exa at a page you like and get neural similarity results that surface related content. This is useful for discovering competitors, comparable articles, or adjacent sources, with pagination for wider discovery.
Launch asynchronous deep-research tasks
Kick off an Exa research task that explores the web, gathers sources, and synthesizes findings with citations. The task runs remotely on Exa and returns a research ID right away, so an agent can move on while the research runs.
Poll and retrieve research results
Check the status of a research task and pull its results once it completes, including the synthesized findings and citations. An agent can wait for a task to finish, then hand the output straight into the next step.
How to connect the Gumloop Exa MCP Server
- 1
Create a free Gumloop account
Sign up at gumloop.com. No credit card required.
- 2
Add the Exa MCP server
Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.
- 3
Start using Exa in your AI workflows
That's it. Your AI agent can now search the web, pull page content, get cited answers, and run deep-research tasks for you. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.
Exa MCP use cases
Competitive research for marketing teams
A marketer asks an agent to track how competitors are positioning a new feature. The agent runs an Exa search across the web, uses find_similar to surface comparable pages, pulls the key content with get_contents, and writes a tidy summary into Google Sheets for the team to review.
Market and industry research for analysts
An analyst needs a briefing on an emerging market. The agent launches an Exa deep-research task, waits for it to complete, retrieves the synthesized findings with citations, and drops a sourced summary into a Google Doc, so the analyst starts from real evidence instead of a blank page.
Grounded answers for AI builders
A team building a RAG application needs fresh, citable context. An agent calls Exa’s answer tool to get a cited response, then uses get_contents to pull the underlying pages as clean, LLM-ready text, feeding both into the application’s knowledge base without any manual scraping.
Prospect and account enrichment for RevOps
A RevOps team wants context on a list of target accounts. For each company, an agent runs an Exa search for recent news and announcements, pulls the most relevant pages, and appends a short, sourced brief to the account row in Google Sheets, so reps walk into calls informed.
Content and SEO research for content teams
A content team is planning a new piece. An agent searches Exa for the top-ranking and most-cited sources on a topic, uses find_similar to round out the landscape, summarizes the angles with get_contents, and posts the research digest to a Slack channel for the writers.
Why use Gumloop for Exa MCP
No API key to manage
The Exa connection is built into Gumloop, so there’s nothing to generate or paste to get started. Just connect and go, or add your own Exa API key if you’d rather use that. No config files, token juggling, or coding against the Exa API necessary.
Works with multiple MCP clients
Use the Exa MCP server in Claude Desktop, Cursor, or inside Gumloop. Same server URL, works with any MCP client.
Chain Exa with 100+ other integrations
With AI agents in Gumloop, you can chain Exa with any other MCP integrations in a single agent. For example, an agent can run an Exa search, summarize the findings, and write them to Google Sheets or post them to Slack.
Enterprise-grade and scalable
Built for teams, with role-based access controls and dedicated support for Pro users. For details on Gumloop’s security practices, see trust.gumloop.com.
Pricing includes a free plan
Test Exa on the free tier. Paid plans start at $37/month with higher usage limits and additional features.
Frequently asked questions
Ship Exa agents in minutes
Connect any AI agent to 100+ MCP servers, zero setup.