io.github.teabagkim/interview-mode

MCPcommunity
v0.5.1io.github.teabagkimUnknownUpdated 6mo agonpmGitHub

Structured interviewer for Claude Code — probing questions, decision tracking, evolving checkpoints.

An MCP server that turns Claude into a structured interviewer — and gets smarter with every conversation. Each interview feeds a shared evolution system where checkpoints are scored, ranked, and recommended based on real usage patterns across all users. This isn't just an interview tool. It's a collectively evolving knowledge system. Every time anyone runs an interview in a category (e.g.,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
6mo agoLast update
Package
Authorio.github.teabagkim
LicenseUnknown
Version0.5.1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/20
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/5
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>" }
npm Trusted Publishing (Sigstore)+0/5
Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
npm maintainer match+0/5
Earned once your identity is verified above and that login is an npm maintainer of this package
CVE scan · clean+30/30
Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface4 tools · none privileged
Security scan✓ Cleanv0.5.3 · 2mo 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

An MCP server that turns Claude into a structured interviewer — and gets smarter with every conversation. Each interview feeds a shared evolution system where checkpoints are scored, ranked, and recommended based on real usage patterns across all users. This isn't just an interview tool. It's a collectively evolving knowledge system. Every time anyone runs an interview in a category (e.g., "saas-pricing"), the system learns: 1. Checkpoint Discovery — When a decision is made during an interview,…

Keywords
mcp