Ross ROSS = Recommend OSS · open-source software intelligence for agents

Minidoracat/mcp-feedback-enhanced

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility. observed · 2026-08-28

github.com/Minidoracat/mcp-feedback-enhanced · JavaScript · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

86/100

  • Activity 99
  • Release rhythm 99
  • Longevity 32

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 461
  • days_rel: 8
  • days_push: 8
  • n_releases_24m: 37

Full methodology

Adoption not part of the score

3776 stars · 346 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An enhanced MCP server that provides interactive user feedback and command execution capabilities for AI-assisted development workflows, supporting both a Web UI and a Desktop Application with intelligent environment detection. It lets developers insert human checkpoints into long-running AI agent tasks, consolidating feedback into a single request.

Use cases

  • collect user feedback during AI coding sessions in Cursor
  • insert human approval checkpoints into long-running AI agent tasks
  • run an MCP server with a web UI for interactive feedback
  • reduce round-trips between developer and AI assistant
  • run a desktop app for MCP feedback collection

When to choose

  • you use an MCP client like Cursor and want interactive human feedback during agent tasks
  • you want a cross-platform MCP feedback server with both web and desktop interfaces

When to avoid

  • you expect it to save LLM quota — token-based pricing has removed that benefit
  • your MCP client natively supports Elicitation or MCP Apps for user input
  • you need active feature development — the project is in limited maintenance scope

Facets

service · maturity maintenance

mcp chatbot developer-tools gui websocket developer-tools large-language-models cross-platform python mcp-server human-in-the-loop interactive-feedback cursor ai-assisted-development web-ui desktop-app ai-agents web-server desktop

1 source

Member repositories

RepositoryRoleHealth v2
Minidoracat/mcp-feedback-enhancedmain86

For agents

markdown · JSON · MCP: product_card(name="Minidoracat/mcp-feedback-enhanced")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem