Reaper MCP Server

What does “Reaper” MCP Server do?

The Reaper MCP Server is a Model Context Protocol (MCP) server designed to connect AI assistants with Reaper project files, enabling enhanced workflows for audio production and project management. By integrating with clients like Claude Desktop, it allows users to query and interact with their Reaper projects through natural language. The server exposes tools to discover and parse Reaper project files, making it possible for AI systems to access structured data about audio sessions. This capability streamlines tasks such as project searching, metadata extraction, and detailed analyses, ultimately boosting productivity for developers and audio professionals working with Reaper.

List of Prompts

No prompt templates are mentioned in the repository or documentation.

List of Resources

No explicit MCP resources are listed in the repository or documentation.

List of Tools

• find_reaper_projects: Finds all Reaper projects in the directory specified in the configuration.
• parse_reaper_project: Parses a specific Reaper project file and returns a structured JSON object representing the project’s data.

Use Cases of this MCP Server

• Audio Project Discovery: Quickly locate all Reaper project files within a specified directory, helping users manage large collections of audio sessions.
• Project Data Extraction: Parse Reaper project files to extract structured data, making it easy to analyze tracks, effects, and settings programmatically.
• AI-Assisted Audio Production: Enable AI assistants (e.g., Claude Desktop) to answer detailed questions about the contents of a Reaper project, such as track counts or plugin usage.
• Workflow Automation: Integrate with automation tools to trigger actions based on the metadata or structure of Reaper projects, such as batch processing or reporting.
• Enhanced Collaboration: Provide collaborators with AI-driven insights into project structures, facilitating remote teamwork and review.

How to set it up

Windsurf

No setup information or configuration examples for Windsurf are provided.

Claude

1. Install Dependencies
   1. Set up a virtual environment:
      uv venv
source .venv/bin/activate
   2. Install the package:
      uv pip install .
2. Configure Claude Desktop
   1. Refer to the Model Context Protocol quickstart.
   2. Use the sample config at setup/claude_desktop_config.json.
   3. Update paths for your uv installation, Reaper project directory, and this server’s directory.
3. Launch and Configure
   1. Open Claude Desktop.
   2. Click the hammer icon in the chat box.
   3. Verify that find_reaper_projects and parse_reaper_project tools appear.
4. Ask Questions
   1. Query about your Reaper project, specifying the project name.

JSON Configuration Example:

{
  "mcpServers": {
    "reaper-mcp": {
      "command": "uv",
      "args": ["pip", "install", "."]
    }
  }
}

Cursor

No setup information or configuration examples for Cursor are provided.

Cline

No setup information or configuration examples for Cline are provided.

Securing API Keys

No guidance or examples for securing API keys are provided in the repository.

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:

{
  "reaper-mcp": {
    "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 “reaper-mcp” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

Based on the two tables above, the Reaper MCP Server offers strong tool support and clear setup instructions for Claude Desktop, but lacks information on prompts, resources, and advanced MCP features like sampling and roots. Its documentation is straightforward but limited in scope to the basics.

Rating: 5/10

MCP Score