Tunio MCP gives your AI assistant direct access to your Tunio streams and actions, so it can read current tracks, list stations, and run MCP tools.
Requirements
Node.jsinstalled (withnpx).- Internet access.
- An API key from cp.tunio.ai/api-keys.
Never expose your API key in screenshots, repositories, or chats. If a key is leaked, revoke it and create a new one.
Connect in Codex / Cursor
Open MCP server settings
Go to the MCP server add/edit section in your AI client.
Set command and arguments
Use
npxas the command and add arguments one by one as separate entries:BASH-y mcp-remote https://agent.tunio.ai/mcp --header Authorization: Bearer YOUR_API_KEYSave and refresh tools
Save the MCP configuration and restart the client (or refresh tools) so Tunio tools appear.
Connect in Claude Desktop
The setup is the same as in Codex/Cursor.
Add a new MCP Server
Open MCP settings in Claude Desktop and create a new server.
Fill command and args
Use the same values:
BASHcommand: npx args: - -y - mcp-remote - https://agent.tunio.ai/mcp - --header - Authorization: Bearer YOUR_API_KEYRestart Claude Desktop
After saving, restart the app and verify that Tunio tools are listed.
Verify the connection
Run a simple tool call such as list_stations or get_user_context.
If tools do not appear:
- Check that
npxis available in your environment. - Verify the API key.
- Make sure args are added as separate items, not a single string.
- Restart the AI client.
If a test call returns data (for example, your stream list), Tunio MCP is connected correctly.