Mureka

by SkyworkAI

104 stars

239 downloads

Not rated

GitHub

About

generate lyrics, song and background music(instrumental)

Details

Author: SkyworkAI
GitHub stars: 104
Downloads: 239
Categories: Developer Tools, Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Mureka

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

From the repository

Get an API key from platform.mureka.ai, install uv, then configure claude_desktop_config.json with the command uvx mureka-mcp and set the MUREKA_API_KEY, MUREKA_API_URL, and optionally TIME_OUT_SECONDS environment variables. Alternatively, use the OpenAI Agents SDK by running the provided example script.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mureka": {
            "Mureka": {
                "command": "uvx",
                "args": [
                    "mureka-mcp"
                ],
                "env": {
                    "MUREKA_API_KEY": "<insert-your-api-key-here>",
                    "MUREKA_API_URL": "https://api.mureka.ai",
                    "TIME_OUT_SECONDS": "300"
                }
            }
        }
    }
}

McpServers

{
    "Mureka": {
        "command": "uvx",
        "args": [
            "mureka-mcp"
        ],
        "env": {
            "MUREKA_API_KEY": "<insert-your-api-key-here>",
            "MUREKA_API_URL": "https://api.mureka.ai",
            "TIME_OUT_SECONDS": "300"
        }
    }
}

export

</div>
<p align="center">
Official Mureka Model Context Protocol (MCP) server that enables interaction with powerful lyrics, song and bgm generating APIs. This server allows MCP clients like <a href="https://www.anthropic.com/claude">Claude Desktop</a>, <a href="https://github.com/openai/openai-agents-python">OpenAI Agents</a> and others to generate lyrics, song and background music(instrumental).
</p>

Quickstart with Claude Desktop

1. Get your API key from Mureka.
2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods.
3. Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

{
    "mcpServers": {
        "Mureka": {
            "command": "uvx",
            "args": [
                "mureka-mcp"
            ],
            "env": {
                "MUREKA_API_KEY": "<insert-your-api-key-here>",
                "MUREKA_API_URL": "https://api.mureka.ai",
                "TIME_OUT_SECONDS":"300"
            }
        }
    }
}

Then restart the Claude app and see 4 MCP tools available in the window, indicating successful loading
<div class="title-block" style="text-align: left;">

</div>

Optional features

You can add the TIME_OUT_SECONDS environment variable to the claude_desktop_config.json to set the timeout period for song or bgm generation waiting(Default 60s).

Example usage

⚠️ Warning: Mureka credits are needed to use these tools.
Try asking Claude:
- "Please create a song for my daughter Jessica to wish her a happy birthday and play it"
<div class="title-block" style="text-align: left;">

</div>

- "Please generate lyrics about Christmas"
- "Please generate a song based on the lyrics just now"
- "Please generate background music suitable for playing in the coffee shop"
<div class="title-block" style="text-align: left;">

</div>

bgm 1 download

bgm 2 download

Troubleshooting

Logs when running with Claude Desktop can be found at:

- Windows: %APPDATA%\Claude\logs\mcp-server-Mureka.log
- macOS: ~/Library/Logs/Claude/mcp-server-Mureka.log

Quickstart with Openai agents sdk

Install Agents SDK

pip install openai-agents

Run example: openapi_agents_example/main.py

Key is required to be filled in:

MUREKA_API_KEY = "<insert-your-api-key-here>"

After running, you can see the composition process in the console
<div class="title-block" style="text-align: left;">

</div>
<div class="title-block" style="text-align: left;">

</div>

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Quickstart with Claude Desktop

Optional features

Example usage

Troubleshooting

Quickstart with Openai agents sdk

Install

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