Enterprise DNA
M MCP Servers Developer low

mrexodia/user-feedback-mcp

by Various

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor.

M

MCP

mrexodia/user-feedback-mcp

Added 1 June 2026

#cline #cursor #mcp #mcp-server #modelcontextprotocol

Overview

A minimal MCP server that pauses an AI coding agent to request human input before proceeding. It integrates with tools like Cline and Cursor to insert a manual review step into automated workflows.

Best for

Best for
Developers who want a lightweight human-in-the-loop guardrail for AI coding assistants

Use cases

  • Pause an agent to confirm a risky file edit before execution
  • Request user approval for deploying code to production
  • Collect human feedback on generated code before committing

How to use

Tools exposed

  • user_feedback

Tested with

Cline, Cursor

Example client config

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

Notes

A minimal MCP server that pauses an AI coding agent to request human input before proceeding. It integrates with tools like Cline and Cursor to insert a manual review step into automated workflows.

53 stars on GitHub. Last updated 2025-03-26. Licensed MIT.

Use cases

  • Pause an agent to confirm a risky file edit before execution
  • Request user approval for deploying code to production
  • Collect human feedback on generated code before committing

Pros

  • Simple to set up and integrate with existing MCP-compatible tools
  • Adds a safety net for autonomous agent actions
  • Lightweight Python implementation with minimal dependencies

Cons

  • Requires manual intervention, breaking fully automated pipelines
  • Limited to tools that support the MCP protocol
  • No built-in timeout or fallback if user does not respond

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple to set up and integrate with existing MCP-compatible tools
  • Adds a safety net for autonomous agent actions
  • Lightweight Python implementation with minimal dependencies

Cons

  • Requires manual intervention, breaking fully automated pipelines
  • Limited to tools that support the MCP protocol
  • No built-in timeout or fallback if user does not respond

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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