Exa Connector for AI agents.
10 live capabilities
Find and extract high-quality web content for research and data analysis.
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Why people use Exa
Exa for Semantic Web Research and Data Extraction
Exa changes this by letting your AI agent do the heavy lifting. It understands the intent behind your questions and pulls high-quality results directly into your workspace. You get clean, readable text and relevant links without the manual clicking.
What Vinkius changes
That you get high-quality, context-aware web data delivered directly to your AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding scientific papers
A researcher needs to find papers on room-temperature superconductors.
- Real-world use case 02
Competitive content analysis
A content creator wants to see what competitors are saying about a new product.
- Real-world use case 03
Feeding a website to RAG
A developer needs to feed a specific website into a RAG system.
Complete set · 10capabilities
The complete Exa capability set.
These are the exact actions your AI can choose when you ask it to work with Exa.
01—04
4 capabilities in this set.
Part of 10 available through Exa.
- 01 Capability
Answer
Get a direct answer to a query based on web data. It provides a quick summary of information found online.
- 02 Capability
Find similar
Locate web pages that are semantically related to a specific URL for research. It helps you find content with similar themes.
- 03 Capability
Find similar with contents
Find similar pages and pull their content in one step. This saves time by combining discovery and extraction.
- 04 Capability
Get contents
Extract cleaned text and metadata from a specific URL or page ID. It removes the clutter like ads and navigation menus.
05—07
3 capabilities in this set.
Part of 10 available through Exa.
- 05 Capability
Search domain
Search for specific information within a single website or domain. This is perfect for deep dives into a single source.
- 06 Capability
Search keyword
Perform a traditional keyword-based search for specific terms. Use this for simple queries where exact words matter most.
- 07 Capability
Search neural
Use neural embeddings to find results based on the meaning of a query. It is ideal for conceptual or complex research topics.
08—10
3 capabilities in this set.
Part of 10 available through Exa.
- 08 Capability
Search recent
Fetch the latest content and news from the web. Use this to stay updated on trending topics and current events.
- 09 Capability
Search
Retrieve titles, URLs, and relevance scores for web results. It gives you a broad overview of matching pages.
- 10 Capability
Search with contents
Search the web and extract the content of the results simultaneously. This allows you to see the text of multiple pages at once.
Set up in minutes
One URL. Then ask Exa to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Exa from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Exa, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Exa for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Exa URL.
- Step 03
Save and start
Save the connection and enable Exa in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"exa-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Exa
Open Agent mode in chat and ask: "Using Exa, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"exa-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Exa
Ask Copilot: "Using Exa, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"exa-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Exa
Open Cascade and ask: "Using Exa, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"exa-alternative": {
"url": "https://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Exa
Ask Cline: "Using Exa, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add exa-alternative --transport http "https://edge.vinkius.com/vk_preview_FJWfx27znLoh5QsmubAyUUxxisJhzEEUQBbQ7ZWl/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Exa
Ask Claude: "Using Exa, show me...". 10 tools are ready
Where the request belongs
Work Exa can move forward.
This is for researchers and content creators who are tired of manual Google searches and messy scraping. It's for the person who needs to find 50 similar articles in ten minutes or extract text from a dozen different blog posts without copy-pasting every single one.
Research Analyst
Finds semantically related papers and pulls clean text for reports on a Tuesday afternoon.
Content Strategist
Discovers similar content to competitors and gathers metadata for trends.
AI Developer
Builds agents that need to fetch real-time, high-quality web data for RAG.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsExa
Find exactly the web content you need with semantic search that understands context and returns high-quality curated results.
Exa AI
Search the web with neural embeddings that understand meaning, not just keywords, and return the most relevant results for any query.
Tavily
Search the web for AI. audit search context, answers, and extracted content via AI.
Jina AI
Search and read the web for AI. audit search results and reader content via AI.
Serper
Perform fast Google searches. audit web results, images, news, and places via AI.
ValueSERP
Bring real-time Google Search data into your AI agent. Search organically, find images, news, scholars, and related questions without getting blocked.
Bring your own AI
Change the model, client or framework. Keep Exa connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Exa.
The practical details behind the request, access and result.
How does the Exa MCP help with my research?
It finds web pages based on the actual meaning of your query rather than just keywords. This helps you find high-quality sources and relevant data much faster than a standard search.
Can the Exa MCP pull text directly from a website?
Yes, you can use it to extract cleaned, readable text from specific URLs. This saves you from having to copy and paste content manually into your documents.
How is Exa different from a regular web search?
Exa uses neural embeddings to understand context. This means it's better at finding specific information, similar content, and recent news that matches your intent.
Can I limit my AI agent's search to a specific website?
Yes, the Exa MCP allows you to search within a single domain. This is great for looking up specific documentation or searching a single company's site.
Does the Exa MCP work for competitive analysis?
It is excellent for that. You can find articles similar to a competitor's page to see what they are doing or gather data on their latest updates.
Is it easy to connect Exa to my AI client?
It is. Once you subscribe and add your API key, your AI client can start using all the search and extraction capabilities immediately.
Can I perform a meaning-based search instead of keywords via AI?
Yes! Use the search capability. Provide your query and enable useAutoprompt. Exa will use its neural embeddings to find links that match the intent of your question.
How do I find articles similar to a specific URL?
Use the find_similar capability. Provide the seed URL, and the agent will retrieve a list of pages that are semantically related to that content.
Is it possible to extract cleaned text from multiple pages via AI?
Absolutely. Use the get_contents query. Provide an array of URLs or Exa IDs, and the agent will return the cleaned text content and metadata for each page.
One connection away
Give your agent a direct line to Exa.
Connect Exa once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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