io.github.Jacob-J-Thomas/user-prompt

MCPcommunity
v1.0.2io.github.Jacob-J-ThomasUnknownUpdated 4mo agoGitHub

An MCP server that enables AI agents to ask users clarifying questions via pop-up terminal windows.

mcp-name: io.github.Jacob-J-Thomas/user-prompt A Model Context Protocol (MCP) server that gives AI agents the ability to ask users clarifying questions mid-task via a pop-up terminal window. Built with .NET 8 and C#. Long-running AI agents (like Claude Code, IDE copilots, or custom agentic workflows) often encounter situations where they need human input — ambiguous requirements, unexpected…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.Jacob-J-Thomas
LicenseUnknown
Version1.0.2
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · not run+0/30
Not yet scanned — package must be on npm
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
DependenciesNot audited
Tool surface
Security scan✓ CleanvHEAD · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

mcp-name: io.github.Jacob-J-Thomas/user-prompt A Model Context Protocol (MCP) server that gives AI agents the ability to ask users clarifying questions mid-task via a pop-up terminal window. Built with .NET 8 and C#. Long-running AI agents (like Claude Code, IDE copilots, or custom agentic workflows) often encounter situations where they need human input — ambiguous requirements, unexpected errors, or design decisions that could go multiple ways. Without a mechanism to ask, the agent either…

Keywords
mcp