Enables a human-in-the-loop workflow in Cline and Cursor by requesting user feedback.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add user-feedback -- uv --directory c:MCPuser-feedback-mcp run server.py~/.codex/config.toml
[mcp_servers.user-feedback]
command = "uv"
args = ["--directory", "c:MCPuser-feedback-mcp", "run", "server.py"]
# codex mcp add user-feedback -- uv --directory c:MCPuser-feedback-mcp run server.py~/.cursor/mcp.json
{
"mcpServers": {
"user-feedback": {
"command": "uv",
"args": [
"--directory",
"c:MCPuser-feedback-mcp",
"run",
"server.py"
]
}
}
}.vscode/mcp.json
{
"servers": {
"user-feedback": {
"type": "stdio",
"command": "uv",
"args": [
"--directory",
"c:MCPuser-feedback-mcp",
"run",
"server.py"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"user-feedback": {
"command": "uv",
"args": [
"--directory",
"c:MCPuser-feedback-mcp",
"run",
"server.py"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"user-feedback": {
"command": "uv",
"args": [
"--directory",
"c:MCPuser-feedback-mcp",
"run",
"server.py"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"user-feedback": {
"command": "uv",
"args": [
"--directory",
"c:MCPuser-feedback-mcp",
"run",
"server.py"
]
}
}
}