How to Use the Xeno-canto MCP in Cursor

Q: How do I search for recordings using Xeno-canto in Cursor?

You prompt your agent to execute searchrecordings within the code context. The live results populate variables that you can then use immediately in your script.

Inject Xeno-canto audio research into your code with Cursor.

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Connect Xeno-canto MCP to Cursor

Create your Vinkius account to connect Xeno-canto to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Xeno-canto with Cursor

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Claude

Perplexity

Live Data Context for Coding

The `search_recordings` tool lets you run live queries against the Xeno-canto database. You can get real API results—like a list of bird sounds and their sources—that your AI agent injects directly into your active code block.

API Calls for Code Generation

Need to build a function that references specific avian data? Use the MCP Server's `search_recordings` tool. It returns structured JSON results, meaning you don't have to mock any API responses in your project.

Build Bio-Acoustic Tools

This capability allows developers to integrate complex external data sources into their code base. You can write the calling logic while the AI handles the messy details of querying Xeno-canto's massive audio archive.

Setup guide

Set up Xeno-canto MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Xeno-canto MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Xeno-canto transactions." If the MCP tools are loaded correctly, Cursor will call the Xeno-canto tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "xeno-canto-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Xeno-canto. 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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Common questions about Xeno-canto MCP in Cursor

You prompt your agent to execute `search_recordings` within the code context. The live results populate variables that you can then use immediately in your script.

Yes. When Agent mode is active, Cursor calls the MCP Server and receives live data responses from Xeno-canto, ensuring your code uses current information.

The tool supports searching by genus (g.), species (gen:), and country (cnt:). The results are structured, making it easy to loop through and process the links in your code.

Yes. You configure the MCP Server either globally or within a specific `.cursor/mcp.json` file in your project root, keeping the tool available to all team members.

This server accesses public search parameters (genus, species, country) from Xeno-canto. It deals with bio-acoustic record metadata, not proprietary source code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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