Exa is an AI-powered search engine that finds high-quality web content with neural search. The Exa MCP server lets you search, extract content, find similar pages, and get citation-backed answers using natural language.Documentation Index
Fetch the complete documentation index at: https://docs.gumloop.com/llms.txt
Use this file to discover all available pages before exploring further.
What Can It Do?
- Search the web with neural and keyword search for relevant results
- Extract content including full text, summaries, and metadata from URLs
- Find similar pages to broaden research coverage
- Get answers with citations from reliable web sources
Where to Use It
In Agents (Recommended)
Add Exa as a tool to any agent. The agent can then search and research conversationally, choosing the right actions based on context. To add an MCP tool to your agent:- Open your agent’s configuration
- Click Add tools → Connect an app with MCP
- Search for the integration and select it
- Authenticate with your account
In Workflows (Via Agent Node)
For automated pipelines, use an Agent Node with Exa tools. This gives you the flexibility of an agent within a deterministic workflow.As a Custom MCP Node
You can also create a standalone MCP node for a specific action. This generates a reusable node that performs one task, useful when you need the same operation repeatedly in workflows.- Go to your node library and search for the integration
- Click Create a node with AI
- Describe the specific action you want (e.g., “Search for AI startup funding news”)
- Test the node and save it for reuse
Custom MCP nodes are single-purpose by design. For tasks that require multiple steps or dynamic decision-making, use an agent instead.
Available Tools
| Tool | Description |
|---|---|
| Search | Search the web with neural and keyword search |
| Get Contents | Extract full page contents from URLs |
| Find Similar | Find similar pages to a source URL |
| Answer | Get LLM answers with citations |
| Create Research Task | Start an async research task |
| Get Research Task | Get status and results of research |
Credit Costs
| Tool | Credits Per Use |
|---|---|
| Get Contents | 3 per item |
| Find Similar | 5 per item |
| Answer | 10 credits |
| Create/Get Research Task | 5 credits each |
Example Prompts
Use these with your agent or in the Agent Node: Search the web:Troubleshooting
| Issue | Solution |
|---|---|
| Agent not finding the right data | Use more specific search terms or date filters |
| Action not completing | Check that you’ve authenticated and have sufficient Exa credits |
| Unexpected results | The agent may chain multiple tools (e.g., searching first, then getting contents). Review the agent’s reasoning to understand its approach. |
| Tool not available | Verify the tool is enabled in your agent’s MCP configuration |
Need Help?
- Agents documentation for setup and best practices
- Agent Node guide for workflow integration
- Gumloop Community for questions and examples
- Contact support@gumloop.com for assistance
Use this integration directly in Claude or Cursor. Connect remotely via the Exa MCP server using your Gumloop credentials.