noopstudios/interactive-feedback-mcp
Interactive User Feedback MCP observed · 2026-08-28
Health v2 · maintenance only
20/100
- Activity 23
- Release rhythm 8
- Longevity 34
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: n/a
- age_days: 481
- days_rel: 464
- days_push: 464
- n_releases_24m: 1
Adoption not part of the score
1712 stars · 306 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An MCP server that enables a human-in-the-loop workflow in AI-assisted development tools like Cursor, Cline, and Windsurf. It provides a GUI where users can run commands, view output, and give textual feedback directly to the AI assistant.
Use cases
- add human-in-the-loop feedback to Cursor AI workflows
- reduce premium AI tool call costs by consolidating requests
- run commands and show output to an AI assistant before task completion
- get user confirmation before an AI agent finishes a task
- integrate interactive feedback into Cline or Windsurf
When to choose
- you use Cursor, Cline, or Windsurf and want the AI to check in with you before finishing
- you want to cut down on expensive speculative AI tool calls
- you need a simple GUI to run commands and feed results back to an AI assistant
When to avoid
- you need a headless or CI-automated MCP server with no GUI
- you don't use AI-assisted development tools that support MCP
- you need fully autonomous agent workflows without human checkpoints
Facets
service · maturity active
mcp chatbot developer-tools gui developer-tools large-language-models python cross-platform human-in-the-loop cursor ai-assisted-development mcp-server user-feedback ai-agents desktop
1 source
- readme: https://github.com/noopstudios/interactive-feedback-mcp · fetched 2026-08-28 · cf9ce9d99be0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| noopstudios/interactive-feedback-mcp | main | 20 |
For agents
markdown · JSON · MCP: product_card(name="noopstudios/interactive-feedback-mcp")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem