Resemble MCP server

The Resemble AI Voice Generation MCP Server enables you to generate realistic voice audio from text using Resemble AI's voice models. It integrates with Claude and Cursor through the Model Context Protocol (MCP), offering both network and direct process communication options.

Installation

Prerequisites

• Python 3.10 or higher
• Resemble AI API key (sign up at Resemble AI)

Environment Setup

Option 1: Using Conda (Recommended)

# Run the setup script
./scripts/setup_environment.sh

# Activate the environment
conda activate resemble_mcp

Option 2: Using Virtual Environment

# Run the setup script
./scripts/setup_venv.sh

# Activate the environment
source venv/bin/activate

Configuration

Set your Resemble AI API key using one of these methods:

As an environment variable:

export RESEMBLE_API_KEY="your_api_key_here"

Or create a .env file in the project root:

RESEMBLE_API_KEY=your_api_key_here

Running the Server

Using the Run Script

# Run with SSE transport (default, network-based)
./run_server.sh mcp 8083

# Run with HTTP implementation
./run_server.sh http 8083

# Run with StdIO transport (direct process communication)
./run_server.sh stdio

Using the CLI Directly

# Run with SSE transport
python -m src.cli --implementation mcp --port 8083

# Run with StdIO transport
python -m src.cli --implementation stdio

Connecting to Claude Desktop

SSE Transport Connection

Create a claude_desktop_config.json file:

{
  "mcpServers": {
    "resemble-ai": {
      "sseUrl": "http://localhost:8083/sse"
    }
  }
}

StdIO Transport Connection

Create a claude_desktop_config.json file:

{
  "mcpServers": {
    "resemble-ai": {
      "command": "python",
      "args": ["-m", "src.cli", "--implementation", "stdio"],
      "env": {
        "RESEMBLE_API_KEY": "your_api_key_here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Connecting to Cursor

SSE Transport Connection

1. Go to Settings → AI → MCP Servers
2. Click "Add Server"
3. Select "SSE" as the connection type
4. Set the URL to: http://localhost:8083/sse

StdIO Transport Connection

1. Go to Settings → AI → MCP Servers
2. Click "Add Server"
3. Select "Subprocess" as the connection type
4. Set the command to: python -m src.cli --implementation stdio
5. Optionally add environment variables:
   • RESEMBLE_API_KEY: Your Resemble AI API key

Available Tools

list_voices

Lists available voice models from Resemble AI.

generate_tts

Generates voice audio from text.

Parameters:

• text: The text to convert to speech
• voice_id: ID of the voice to use
• return_type: How to return the audio: 'file' or 'base64' (optional, default: 'file')
• output_filename: Filename for the output without extension (optional)

Troubleshooting

• MCP SDK Import Errors: The server will automatically fall back to the HTTP implementation with SSE transport.

• Connection Issues:

  1. Check that the server is running
  2. Verify the correct URL is configured
  3. Check that your API key is valid
  4. Look for errors in the server logs

• Transport Selection:

  • Use SSE Transport when you want to run the server separately or on a different machine
  • Use StdIO Transport when you want Claude/Cursor to manage the server process for you

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "resemble-ai" '{"command":"python","args":["-m","src.cli","--implementation","stdio"],"env":{"RESEMBLE_API_KEY":"your_api_key_here"},"disabled":false,"autoApprove":[]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "resemble-ai": {
            "command": "python",
            "args": [
                "-m",
                "src.cli",
                "--implementation",
                "stdio"
            ],
            "env": {
                "RESEMBLE_API_KEY": "your_api_key_here"
            },
            "disabled": false,
            "autoApprove": []
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "resemble-ai": {
            "command": "python",
            "args": [
                "-m",
                "src.cli",
                "--implementation",
                "stdio"
            ],
            "env": {
                "RESEMBLE_API_KEY": "your_api_key_here"
            },
            "disabled": false,
            "autoApprove": []
        }
    }
}

3. Restart Claude Desktop for the changes to take effect