pulsemcp Safe content atomic mcp-remote

User Prompt

User Prompt MCP provides a bridge between Cursor and users by enabling the AI to request additional input during generation without ending the process. Developed by nazar256, this Go implementation uses the mark3labs/mcp-go library and offers a cross-platform GUI solution that works on both Linux (using zenity) and macOS (using osascript). The server handles timeout scenarios, presents input prompts in dialog boxes with text wrapping, and communicates with Cursor via stdio transport, making it ideal for creating more interactive AI experiences where the model needs clarification or additional information mid-generation.

Cognium trust score

50%

Tier

Unverified

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

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/nazar256/user-prompt-mcp
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve User Prompt 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"