Unlock the World of Radio & Music with the MCP Server
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Supercharge your AI agents with comprehensive access to Radio & Music Services, offering 75 powerful operations for deep data integration. Seamlessly connect your AI to a vast array of music and broadcast information.
About This Workflow
The Radio & Music Services MCP Server is a robust n8n workflow designed to bridge the gap between AI agents and the comprehensive Radio & Music Services API (https://rms.api.bbc.co.uk/). This advanced tool provides 75 distinct operations, enabling AI to query and interact with a rich dataset covering broadcasts, categories, collections, music trends, personalized content, radio programs, and podcasts. By converting the underlying API into an MCP-compatible interface, it allows for intelligent parameter population via $fromAI() expressions and direct response delivery to your AI agent, streamlining complex data retrieval and management for various music and broadcast-related applications.
Key Features
- Extensive Operation Set: Access 75 diverse operations across Radio & Music Services, from fetching popular music to managing personalized radio stations.
- Seamless AI Integration: Leverages
$fromAI()for dynamic parameter population, allowing AI to intelligently drive API calls. - Direct API Access: Handles HTTP requests to the Radio & Music Services API, returning native API structures for easy consumption.
- Flexible Customization: Easily add data transformation, error handling, and logging nodes to tailor the workflow to specific needs.
- Advanced Usage Ready: Designed for users comfortable with extensive toolsets, with clear instructions for optimization.
How To Use
- Import the Workflow: Load the provided n8n workflow JSON into your n8n instance.
- Activate the Workflow: Enable the workflow to start the MCP server.
- Obtain MCP URL: Copy the webhook URL generated by the MCP trigger node.
- Configure Your AI Agent: Integrate the MCP URL into your AI agent's configuration to enable its access to the Radio & Music Services.
- Advanced Optimization (Recommended):
- Before adding to your AI client, review and disable/delete unused nodes within the workflow.
- After adding, ensure you use selective tool enabling within your AI client. Instead of enabling all 75 tools, manually select only the specific tools required for each AI workflow.
- Monitor AI response times, as a high number of enabled tools can impact performance. Aim to keep a maximum of 40 enabled tools for optimal AI client performance.
Apps Used
Workflow JSON
{
"id": "b3197a1f-b40e-4937-aeef-d23357eb5afd",
"name": "Unlock the World of Radio & Music with the MCP Server",
"nodes": 19,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: b3197a1f-b40e...
About the Author
Free n8n Workflows Official
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