Atris MCP Server for Audius

What does “Atris” MCP Server do?

The Atris MCP Server for Audius is a Model Context Protocol (MCP) server designed to integrate the Audius music platform with AI assistants and development tools. It enables AI clients to perform advanced interactions with Audius, such as conducting market research, purchasing premium tracks, uploading songs, and more. By serving as a bridge between AI systems and Audius, Atris MCP enhances development workflows, allowing for seamless access to music-related data, automation of content management, and integration with other tools and APIs. This MCP server empowers developers to build sophisticated applications that leverage Audius’s capabilities directly from AI-powered environments.

List of Prompts

No explicit prompt templates are listed in the repository or its documentation.

List of Resources

No explicit list of resources is provided in the repository or its documentation.

List of Tools

No explicit tool definitions are listed in the provided files or documentation.

Use Cases of this MCP Server

• Market Research Automation
  Developers can automate music market research by querying Audius for trending tracks, artist statistics, and user engagement metrics, streamlining the process of identifying market opportunities.

• Premium Track Purchase Automation
  Allows AI clients to programmatically purchase premium tracks on Audius, enabling integration into content curation or playlist-building workflows for applications and bots.

• Content Uploading and Management
  Enables the automated upload of songs and management of music catalogs, providing an efficient solution for artists, labels, or platforms managing large volumes of content.

• Music Data Integration for Apps
  Developers can build apps that directly fetch, analyze, or display Audius music data, enriching user experiences with real-time content and insights from the Audius ecosystem.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate your Windsurf configuration file.
3. Add the Atris MCP Server to the mcpServers object:

   {
     "mcpServers": {
       "audius-mcp-atris": {
         "command": "npx",
         "args": ["@glassBead-tc/audius-mcp-atris@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the MCP server is running in Windsurf’s UI.

Claude

1. Install Node.js.
2. Open the Claude configuration file.
3. Add the Atris MCP Server under mcpServers:

   {
     "mcpServers": {
       "audius-mcp-atris": {
         "command": "npx",
         "args": ["@glassBead-tc/audius-mcp-atris@latest"]
       }
     }
   }
   

4. Save changes and restart Claude.
5. Confirm activation via the Claude dashboard.

Cursor

1. Verify Node.js is installed.
2. Edit the Cursor configuration file.
3. Insert the following in the mcpServers section:

   {
     "mcpServers": {
       "audius-mcp-atris": {
         "command": "npx",
         "args": ["@glassBead-tc/audius-mcp-atris@latest"]
       }
     }
   }
   

4. Save and restart Cursor.
5. Check for MCP server availability in Cursor’s interface.

Cline

1. Install Node.js if not already present.
2. Access the Cline configuration file.
3. Add:

   {
     "mcpServers": {
       "audius-mcp-atris": {
         "command": "npx",
         "args": ["@glassBead-tc/audius-mcp-atris@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Ensure the server appears in the Cline tool list.

Securing API Keys (all platforms):
Place secrets in environment variables and reference them in your configuration.
Example:

{
  "mcpServers": {
    "audius-mcp-atris": {
      "command": "npx",
      "args": ["@glassBead-tc/audius-mcp-atris@latest"],
      "env": {
        "AUDIUS_API_KEY": "${AUDIUS_API_KEY}"
      },
      "inputs": {
        "api_key": "${AUDIUS_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "audius-mcp-atris": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “audius-mcp-atris” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Short assessment:
The Atris MCP for Audius provides a clear overview and secure key management, but lacks explicit documentation for prompts, resources, and tools. Installation guidance is inferred from standard MCP practices, but more details in the repo would improve usability.

Our opinion

Given the available information, the server’s documentation is minimal, but the project is functional for its intended use. The lack of prompt, resource, and tool documentation limits its immediate utility for developers, but the existence of setup and security patterns gives it a foundation for further improvement.

MCP Score