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.
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.
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.
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.
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.
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.
[](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).
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.
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.
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.
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.
✓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.
✓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 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.
✓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)