Interactive Feedback MCP

Name: Interactive Feedback MCP
Author: Noöp Studios

Noöp Studios

Get started Repository

Lets AI coding assistants pause and ask the user for feedback, enabling human-in-the-loop workflows.

Setup

Choose your client, copy the config, then fill in any required environment variables.

Add to Cursor Add to VS Code

claude mcp add interactive-feedback -- uv --directory path/to/interactive-feedback-mcp run server.py

~/.codex/config.toml

[mcp_servers.interactive-feedback]
command = "uv"
args = ["--directory", "path/to/interactive-feedback-mcp", "run", "server.py"]

# codex mcp add interactive-feedback -- uv --directory path/to/interactive-feedback-mcp run server.py

~/.cursor/mcp.json

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "interactive-feedback": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "--directory",
        "path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

~/.gemini/settings.json

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

claude_desktop_config.json

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

.trae/mcp.json

{
  "mcpServers": {
    "interactive-feedback": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/interactive-feedback-mcp",
        "run",
        "server.py"
      ]
    }
  }
}

Setup

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