MCP Feedback Enhanced
Pause an AI coding agent to collect your feedback in a web UI or desktop app before it finishes.
Sources and review
Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.
Keeping a human checkpoint in long agent sessions so fewer requests are spent on wrong turns.
You would run a version older than 2.6.1, which fixed an unauthenticated command-execution flaw and WebSocket hijacking; command execution has since been removed.
About MCP Feedback Enhanced
MCP Feedback Enhanced adds an interactive feedback step to AI-assisted development: the agent calls a tool that opens a web interface or desktop application where you review its work, add text or images and steer the next step. It is an enhanced fork of an earlier feedback server and detects local, SSH and WSL environments.
MCP Feedback Enhanced is listed in this index written primarily in JavaScript, with 3.8k stars on GitHub. Its latest recorded repository push was in October 2026; that is not an ASE editorial review date.
Before connecting: access and data
This record's specific permissions have not been reviewed by ASE. Read the publisher's documentation before copying setup or connecting.
- List the accounts, files and services the enabled tools can read, change or execute. Check your actual credentials and discovered tools.
- Use narrowly scoped credentials and read-only mode where supported. Review proposed writes before approving them; a generated configuration does not apply these limits for you.
- Local launch is not local-only data processing. External services receive requests, and your client may pass tool results to its model provider. Check both destinations before sharing private data.
- Keep keys and browser session files out of shared config, repositories and screenshots. Know how to disconnect the server and separately revoke its credentials or account sessions.
Add MCP Feedback Enhanced to your MCP client
Generated from the launch command in the project's README. Your client starts the server on demand.
Claude Code
claude mcp add mcp-feedback-enhanced -- uvx mcp-feedback-enhanced@latestCursor
{
"mcpServers": {
"mcp-feedback-enhanced": {
"command": "uvx",
"args": ["mcp-feedback-enhanced@latest"]
}
}
}VS Code
{
"servers": {
"mcp-feedback-enhanced": {
"type": "stdio",
"command": "uvx",
"args": ["mcp-feedback-enhanced@latest"]
}
}
}Claude Desktop
{
"mcpServers": {
"mcp-feedback-enhanced": {
"command": "uvx",
"args": ["mcp-feedback-enhanced@latest"]
}
}
}Codex
[mcp_servers.mcp-feedback-enhanced]
command = "uvx"
args = ["mcp-feedback-enhanced@latest"]