pulsemcp scanned Safe content atomic mcp-remote

Interactive Feedback

Interactive Feedback MCP provides a Node.js-based server that enables AI assistants to request human feedback during task execution through a modern web interface. The implementation launches a browser-based UI where users can run commands, view console output in real-time via WebSocket connections, and provide interactive feedback that gets returned to the AI assistant as structured JSON data. Built with Express, WebSocket support, and cross-platform process management, it's designed for human-in-the-loop workflows where AI assistants need user validation, approval, or additional input before proceeding with tasks, making it valuable for code review processes, deployment confirmations, and iterative development scenarios.

Cognium trust score

44%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/zivhdinfo/interactive-feedback-mcp-nodejs
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

View source Find related skills

MCP

Resolve Interactive Feedback from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"