User Feedback MCP server

This MCP server enables a human-in-the-loop workflow in tools like Cline and Cursor, particularly useful when developing desktop applications that require complex user interactions to test. It prompts users for feedback before marking a task as complete.

Installation for Cline

To set up the User Feedback MCP server with Cline:

1. Install uv globally:

   • Windows:

     pip install uv
     

   • Linux/Mac:

     curl -LsSf https://astral.sh/uv/install.sh | sh
     

2. Clone the repository to your local machine (e.g., C:\MCP\user-feedback-mcp)

3. Configure Cline to use the MCP server:

   • Navigate to Cline's MCP Servers configuration
   • Click on the "Installed" tab
   • Click "Configure MCP Servers" to open cline_mcp_settings.json
   • Add the following configuration:

{
  "mcpServers": {
    "github.com/mrexodia/user-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "c:\\MCP\\user-feedback-mcp",
        "run",
        "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "user_feedback"
      ]
    }
  }
}

Usage

Configuring Your Prompt

For optimal results, add the following to your custom prompt in Cline:

Before completing the task, use the user_feedback MCP tool to ask the user for feedback.

This ensures Cline will request user feedback before marking a task as complete.

Configuration File

The server creates a .user-feedback.json configuration file in your project directory when you save your settings. A typical configuration looks like:

{
  "command": "npm run dev",
  "execute_automatically": false
}

When execute_automatically is enabled, the specified command will run automatically at startup. For complex multi-step commands, consider using a task runner like Task.

Using the Tool

The MCP server provides the user_feedback tool that can be called with:

<use_mcp_tool>
<server_name>github.com/mrexodia/user-feedback-mcp</server_name>
<tool_name>user_feedback</tool_name>
<arguments>
{
  "project_directory": "C:/MCP/user-feedback-mcp",
  "summary": "I've implemented the changes you requested."
}
</arguments>
</use_mcp_tool>

This will display a feedback UI where users can interact with the application and provide their input before continuing with the AI assistant's task.

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 "github-com-mrexodia-user-feedback-mcp" '{"command":"uv","args":["--directory","c:\\MCP\\user-feedback-mcp","run","server.py"],"timeout":600,"autoApprove":["user_feedback"]}'

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": {
        "github.com/mrexodia/user-feedback-mcp": {
            "command": "uv",
            "args": [
                "--directory",
                "c:\\MCP\\user-feedback-mcp",
                "run",
                "server.py"
            ],
            "timeout": 600,
            "autoApprove": [
                "user_feedback"
            ]
        }
    }
}

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": {
        "github.com/mrexodia/user-feedback-mcp": {
            "command": "uv",
            "args": [
                "--directory",
                "c:\\MCP\\user-feedback-mcp",
                "run",
                "server.py"
            ],
            "timeout": 600,
            "autoApprove": [
                "user_feedback"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect