How to use the eToro MCP server with Cursor, Claude, and other AI code editors to build trading apps without writing API calls by hand.
You don't need to dig through scattered notes to wire up the eToro API. With the eToro MCP (Model Context Protocol) server, your AI editor can read the same official documentation you would use by hand—endpoints, schemas, and examples—while you stay in your project.
This is vibe coding for fintech.
The Model Context Protocol is an open standard that lets AI assistants (like Claude in Cursor, Antigravity, or VS Code) call external tools. Instead of pasting guesses into your codebase, you describe what you want to build, and the assistant pulls structured answers from connected servers.
The eToro MCP server gives your AI assistant access to the full API documentation — endpoints, schemas, authentication patterns, and code examples. Your assistant queries the docs server to write accurate API code instead of guessing.
The eToro API docs MCP is hosted at the portal — no npx package. Add this to your editor’s MCP config (e.g. Cursor: .cursor/mcp.json):
{
"mcpServers": {
"etoro-api-docs": {
"url": "https://api-portal.etoro.com/mcp"
}
}
}
Use api-portal.etoro.com to register your app and get API keys when you call the REST API directly. The MCP connection uses the hosted docs server at that portal.
Open your editor and start asking. The assistant can search and read the official API portal documentation through the MCP connection so answers match what the portal publishes.
Ask your assistant to find the right Market Data or instrument endpoints, query parameters, and response shapes in the docs, then sketch the HTTP calls or client code. You still run requests against the real API with your own keys; the MCP layer helps the assistant stay aligned with documented behavior instead of inventing endpoints.
Describe the UI and data you need—for example a React view with P&L, allocation, and a sortable positions table. The assistant can look up portfolio-related endpoints, required headers, and pagination from the documentation, then generate components and types that match those contracts.
Ask the assistant to read the Trading API documentation for order payloads, demo vs. real accounts, and authentication before you implement. That cuts down on mismatches between sample code and the live API.
| Editor | MCP Support | Status |
|---|---|---|
| Cursor | Native | Fully supported |
| Claude Desktop | Native | Fully supported |
| VS Code + Continue | Plugin | Supported |
| Antigravity | Native | Supported |
| Zed | Plugin | Beta |
The future of fintech development is conversational. Start vibing with eToro today.
Was this helpful?
A step-by-step guide to building a simple trading bot using the eToro Demo Trading API.
How to programmatically search, filter, and explore eToro's instrument catalog — asset classes, exchanges, industries, and historical data.
Be the first to know when we publish new API guides, changelog entries, and builder resources.
Newsletter coming soon. We'll only email you when it launches.