Skip to main content
mcpSource-backed

MCP Feedback Enhanced

Interactive feedback MCP server that opens a web or Tauri desktop interface so AI coding agents can ask the human for confirmation, structured feedback, screenshots, prompt snippets, and follow-up direction during development.

by Minidoracat · submitted by oktofeesh1·added 2026-06-06·
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://github.com/Minidoracat/mcp-feedback-enhanced/blob/main/README.md, https://github.com/Minidoracat/mcp-feedback-enhanced
Brand
MCP Feedback Enhanced
Brand domain
github.com
Safety notes
The server is designed to interrupt agent workflows for human feedback, but MCP client settings such as auto-approval can still let the tool launch without a fresh prompt., Version notes describe auto command execution for preset commands after sessions or commits; review and disable command presets unless they are intentional and safe., Keep `MCP_WEB_HOST` set to `127.0.0.1` unless remote access is required and protected by the surrounding development environment., Image upload, clipboard paste, desktop notifications, audio notifications, and session export can make feedback sessions more powerful but also easier to misuse on shared machines., Do not use feedback prompts as the only approval barrier for destructive file edits, shell commands, deployments, account changes, or data exfiltration-prone tasks.
Privacy notes
Feedback text, AI work summaries, uploaded images, screenshots, prompt presets, session history, statistics, and exported records may include source code, paths, secrets, customer data, or personal information., WebSocket traffic between the MCP server and feedback UI carries the feedback session data., The README describes local file storage for session history and settings; review retention and export behavior before using it with confidential projects., If the web UI is bound beyond localhost for SSH or remote development, anyone with network access to that interface may be able to view or influence feedback sessions unless the environment adds protection.
Author
Minidoracat
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-06

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

63

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Needs review

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    No reviewed flag detected in metadata.

    Pending

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

CLI install

Copy-ready — paste the snippet to get started.

10 minutes

Adoption plan

Balanced adoption plan

Current risk score 24/100. Use staged verification before broader rollout.

Risk 24

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    No review metadata found; increase manual validation.

    Pending
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Missing required evidence: Metadata review. Risk score 31.

Risk 31

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Missing

Review metadata is missing.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required gaps: Metadata review

Decision timeline

Decision timeline · balanced

Blocking gaps: Check metadata review status. Risk 28.

Risk 28

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is missing.

Pending

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

Blockers: Check metadata review status

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Includes a review or approval gate.

0/5 ready
Install & runtime2Network & hosting1Review & approval1General110 minutes

Safety & privacy surface

Safety & privacy surface

5 safety and 4 privacy notes across 4 risk areas. Review closely: credentials & tokens, network access.

4 areas
  • SafetyGeneralThe server is designed to interrupt agent workflows for human feedback, but MCP client settings such as auto-approval can still let the tool launch without a fresh prompt.
  • SafetyCredentials & tokensVersion notes describe auto command execution for preset commands after sessions or commits; review and disable command presets unless they are intentional and safe.
  • SafetyNetwork accessKeep `MCP_WEB_HOST` set to `127.0.0.1` unless remote access is required and protected by the surrounding development environment.
  • SafetyCredentials & tokensImage upload, clipboard paste, desktop notifications, audio notifications, and session export can make feedback sessions more powerful but also easier to misuse on shared machines.
  • SafetyLocal filesDo not use feedback prompts as the only approval barrier for destructive file edits, shell commands, deployments, account changes, or data exfiltration-prone tasks.
  • PrivacyCredentials & tokensFeedback text, AI work summaries, uploaded images, screenshots, prompt presets, session history, statistics, and exported records may include source code, paths, secrets, customer data, or personal information.
  • PrivacyCredentials & tokensWebSocket traffic between the MCP server and feedback UI carries the feedback session data.
  • PrivacyCredentials & tokensThe README describes local file storage for session history and settings; review retention and export behavior before using it with confidential projects.
  • PrivacyCredentials & tokensIf the web UI is bound beyond localhost for SSH or remote development, anyone with network access to that interface may be able to view or influence feedback sessions unless the environment adds protection.

Safety notes

  • The server is designed to interrupt agent workflows for human feedback, but MCP client settings such as auto-approval can still let the tool launch without a fresh prompt.
  • Version notes describe auto command execution for preset commands after sessions or commits; review and disable command presets unless they are intentional and safe.
  • Keep `MCP_WEB_HOST` set to `127.0.0.1` unless remote access is required and protected by the surrounding development environment.
  • Image upload, clipboard paste, desktop notifications, audio notifications, and session export can make feedback sessions more powerful but also easier to misuse on shared machines.
  • Do not use feedback prompts as the only approval barrier for destructive file edits, shell commands, deployments, account changes, or data exfiltration-prone tasks.

Privacy notes

  • Feedback text, AI work summaries, uploaded images, screenshots, prompt presets, session history, statistics, and exported records may include source code, paths, secrets, customer data, or personal information.
  • WebSocket traffic between the MCP server and feedback UI carries the feedback session data.
  • The README describes local file storage for session history and settings; review retention and export behavior before using it with confidential projects.
  • If the web UI is bound beyond localhost for SSH or remote development, anyone with network access to that interface may be able to view or influence feedback sessions unless the environment adds protection.

Prerequisites

  • Python 3.11 or newer with uv/uvx available.
  • MCP client such as Claude, Cursor, Cline, Windsurf, Augment, Trae, or another compatible host.
  • Browser access for Web UI mode, or a supported Windows, macOS, or Linux desktop environment for Tauri desktop mode.
  • Decision on whether the feedback server should stay local-only or bind to a wider interface for SSH/remote development.
  • Review of prompt presets, auto-submit timers, auto command execution settings, and session retention before using it in sensitive projects.

Schema details

Install type
cli
Troubleshooting
No
Source repository stats
Scope
Source repo
Collection metadata
Estimated setup
10 minutes
Difficulty
intermediate
Full copyable content
uvx mcp-feedback-enhanced@latest

About this resource

Content

MCP Feedback Enhanced is an interactive feedback server for AI-assisted development. When an agent calls the feedback tool, the server opens a web or desktop interface so the human can review the agent's current work summary, enter feedback, upload images, choose saved prompts, and send structured direction back to the MCP client.

The project is an enhanced fork of interactive-feedback-mcp with dual Web UI and Tauri desktop interfaces, environment detection for SSH/WSL workflows, session tracking, prompt management, timers, image handling, notifications, and multi-language support.

Source Review

These sources were reviewed on 2026-06-06. Prefer the live repository, README, package metadata, MIT license, example MCP configs, changelog, and PyPI metadata for current install commands, desktop/web mode behavior, version history, and command-execution notes.

Features

  • Run the MCP server with uvx mcp-feedback-enhanced@latest.
  • Open either a browser-based feedback UI or a native Tauri desktop interface.
  • Support local, SSH remote, and WSL development environments.
  • Send text feedback, selected prompts, images, and work-summary context back to the agent.
  • Manage reusable prompts, auto-submit timers, session history, statistics, and exports.
  • Use WebSocket status monitoring, reconnection behavior, audio notifications, system notifications, clipboard image paste, and multi-language UI settings.
  • Configure host, port, desktop mode, debug mode, and language through environment variables.

Installation

Configure the MCP server in your client:

{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "MCP_DESKTOP_MODE": "false",
        "MCP_WEB_HOST": "127.0.0.1",
        "MCP_WEB_PORT": "8765",
        "MCP_DEBUG": "false",
        "MCP_LANGUAGE": "en"
      }
    }
  }
}

Switch MCP_DESKTOP_MODE to true if you want the native desktop interface. Keep MCP_WEB_HOST on localhost for ordinary local use, and only widen the binding when your remote development environment needs it and has appropriate network protection.

Use Cases

  • Ask the human to resolve ambiguity before a coding agent makes speculative changes.
  • Collect screenshots or pasted images that explain a UI bug or design issue.
  • Reuse prompt snippets for common review, refactor, or verification workflows.
  • Keep a local history of feedback sessions for later audit or handoff.
  • Reduce long back-and-forth tool loops by collecting all requested decisions in one structured feedback step.

Safety and Privacy

This tool is useful because it interrupts automation, but it is still part of an agent toolchain. Review MCP client auto-approval settings, auto-submit timers, and auto command execution before relying on it in a sensitive repo. Treat remote web binding as an exposed control surface and prefer localhost whenever possible.

Feedback sessions may contain source code, screenshots, copied terminal output, file paths, tokens accidentally pasted into summaries, and project-specific decisions. Review session history storage and export behavior before uploading confidential screenshots or using it in customer, employer, or regulated environments.

Duplicate Check

No Minidoracat/mcp-feedback-enhanced entry, MCP Feedback Enhanced entry, interactive feedback MCP entry, or matching source URL was found in content/mcp.

Source citations

Add this badge to your README

Show that MCP Feedback Enhanced is listed on HeyClaude. Paste this Markdown into your README — it renders the badge and links back to this page.

Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/mcp/mcp-feedback-enhanced.svg)](https://heyclau.de/entry/mcp/mcp-feedback-enhanced)

How it compares

MCP Feedback Enhanced side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).

Field

Interactive feedback MCP server that opens a web or Tauri desktop interface so AI coding agents can ask the human for confirmation, structured feedback, screenshots, prompt snippets, and follow-up direction during development.

Open dossier

Configure MCP servers in the Claude Desktop app by editing claude_desktop_config.json. Grounded walkthrough covering config file locations, the mcpServers JSON structure, the filesystem server, and how to verify and troubleshoot the connection.

Open dossier

Local Apple documentation CLI and MCP server that gives Claude searchable offline access to Apple Developer Documentation, Swift Evolution proposals, Human Interface Guidelines, sample code, Swift.org pages, the Swift Book, and Swift package metadata.

Open dossier

Local MCP server that gives AI assistants terminal control, process management, filesystem operations, search, diff editing, and document handling for desktop automation and development workflows.

Open dossier
Next steps
Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustDiffersPackage not verifiedPackage verifiedPackage not verifiedPackage not verified
Source provenanceDiffersSource-backedNo submission linkSource-backedSource-backed
SubmitterDiffersoktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
BrandAnthropic logoAnthropicDesktop Commander logoDesktop Commander
Categorymcpmcpmcpmcp
SourceSource-backedFirst-partySource-backedSource-backed
AuthorMinidoracatJSONboredmihaelamjwonderwhy-er
Added2026-06-062025-10-272026-06-062026-06-05
Platforms
Harness
Source repo
Safety notesThe server is designed to interrupt agent workflows for human feedback, but MCP client settings such as auto-approval can still let the tool launch without a fresh prompt. Version notes describe auto command execution for preset commands after sessions or commits; review and disable command presets unless they are intentional and safe. Keep `MCP_WEB_HOST` set to `127.0.0.1` unless remote access is required and protected by the surrounding development environment. Image upload, clipboard paste, desktop notifications, audio notifications, and session export can make feedback sessions more powerful but also easier to misuse on shared machines. Do not use feedback prompts as the only approval barrier for destructive file edits, shell commands, deployments, account changes, or data exfiltration-prone tasks.Local MCP servers run as processes on your machine with your user account's privileges, so they can perform any file or system operation you can. Only add servers you trust, and restrict filesystem server paths to the minimum directories the workflow needs. Each Claude Desktop tool call (file write, delete, move) requires your explicit approval before it executes; review every request before approving.Cupertino is an independent third-party project, not an official Apple project. The setup flow downloads a large local documentation bundle; review available disk space and cache locations before installing on managed machines. Self-building or refreshing the corpus can crawl Apple documentation and related public sources; respect Apple site terms and internal network policies. Codex users should pass `serve --no-reap` because upstream documents Codex process spawning behavior that can otherwise close the transport during tool calls. Documentation answers can be stale or incomplete after Apple platform releases, so verify compatibility-sensitive API, beta, and deprecation guidance against live Apple documentation before shipping code.Desktop Commander can run shell commands, stream process output, start and stop processes, read and write files, edit documents, search directories, and change local configuration. The project's security policy describes built-in restrictions as guardrails rather than hardened security boundaries. Directory restrictions and command blocklists may be bypassed through terminal access, symlinks, absolute paths, or command substitution. Use Docker with selective folder mounts when stronger isolation is required. Review file edits, command execution, process termination, and document rewrites before letting an agent act on important systems.
Privacy notesFeedback text, AI work summaries, uploaded images, screenshots, prompt presets, session history, statistics, and exported records may include source code, paths, secrets, customer data, or personal information. WebSocket traffic between the MCP server and feedback UI carries the feedback session data. The README describes local file storage for session history and settings; review retention and export behavior before using it with confidential projects. If the web UI is bound beyond localhost for SSH or remote development, anyone with network access to that interface may be able to view or influence feedback sessions unless the environment adds protection.Configured servers receive the prompts, file contents, and directory data needed to run their tools, and may store credentials (API keys, tokens) passed through the env block. The claude_desktop_config.json file holds server commands, file paths, and environment-variable names; keep it private and do not commit it to public repositories.Cupertino serves local public documentation over stdio, but prompts and tool results can still expose app architecture, API choices, platform targets, package interests, and sample-code queries to the MCP client, model provider, and logs. The server writes operational output to stderr and uses structured logging; avoid including proprietary source code, unreleased product names, customer data, private bundle identifiers, or internal roadmap details in documentation prompts. Local databases and bundle paths may reveal the developer's Apple-platform focus or package interests to anyone with access to the machine or MCP client logs.Local files, terminal output, environment-derived paths, process listings, command arguments, audit logs, spreadsheets, PDFs, DOCX files, and source code may be exposed to the MCP client and model. Tool logs can contain secrets, customer data, credentials, private repository paths, database output, and internal documents. If using remote AI clients or the project's remote MCP option, review where prompts, tool calls, and file content are transmitted and retained.
Prerequisites
  • Python 3.11 or newer with uv/uvx available.
  • MCP client such as Claude, Cursor, Cline, Windsurf, Augment, Trae, or another compatible host.
  • Browser access for Web UI mode, or a supported Windows, macOS, or Linux desktop environment for Tauri desktop mode.
  • Decision on whether the feedback server should stay local-only or bind to a wider interface for SSH/remote development.
  • Claude Desktop installed and running (macOS, Windows, or Linux)
  • Basic JSON knowledge - understand JSON syntax, objects, arrays, and key-value pairs
  • Text editor with JSON syntax highlighting (VS Code, Sublime Text, or similar)
  • Node.js 18+ installed for running npx commands and MCP server packages
  • macOS with Cupertino's current upstream-supported binary or build toolchain.
  • Homebrew or a manual install path for the Cupertino binary.
  • Approximately 4.2 GB of free disk space for the full pre-built documentation bundle.
  • Network access for the initial database download, or time to crawl and index the documentation sources yourself.
  • Node.js for the npx installation path, or Docker for the isolated installation path.
  • Claude Desktop or another MCP client that can launch local stdio servers.
  • Clear list of directories, commands, and long-running processes an assistant may access.
  • Backups or version control for files the agent may edit.
Install
uvx mcp-feedback-enhanced@latest
node --version
brew tap mihaelamj/tap && brew install cupertino && cupertino setup
npx @wonderwhy-er/desktop-commander@latest setup
Config
{
  "mcpServers": {
    "mcp-feedback-enhanced": {
      "command": "uvx",
      "args": ["mcp-feedback-enhanced@latest"],
      "timeout": 600,
      "env": {
        "MCP_DESKTOP_MODE": "false",
        "MCP_WEB_HOST": "127.0.0.1",
        "MCP_WEB_PORT": "8765",
        "MCP_DEBUG": "false",
        "MCP_LANGUAGE": "en"
      }
    }
  }
}
Edit via Settings > Developer > Edit Config, then restart Claude Desktop:
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/username/Desktop"
      ]
    }
  }
}
{
  "mcpServers": {
    "cupertino": {
      "command": "/opt/homebrew/bin/cupertino",
      "args": [
        "serve"
      ],
      "type": "stdio"
    }
  }
}
{
  "mcpServers": {
    "desktop-commander": {
      "command": "npx",
      "args": ["-y", "@wonderwhy-er/desktop-commander@latest"]
    }
  }
}
Citations
ClaimUnclaimedUnclaimedUnclaimedUnclaimed
Open 4 picks in the interactive comparison tool

Related guides

Signals

Loading live community signals…

More like this, weekly

A short, calm digest of reviewed Claude resources. Unsubscribe any time.