io.keypup/engineering-analytics

MCPcommunity
v1.0.1io.keypupUnknownUpdated 24d agoGitHub

Generate answers & visualizations from your engineering data to track software development health.

Ask your Keypup engineering data in plain language to track delivery, quality and team workload. The Keypup MCP (Model Context Protocol) server plugs your Keypup engineering analytics directly into any MCP-compatible AI assistant — Claude, Cursor, Kiro, ChatGPT Desktop, Gemini CLI, VS Code, and others. Once connected, you ask questions about your engineering activity in plain language and the AI…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
24d agoLast update
Package
Authorio.keypup
LicenseUnknown
Version1.0.1
Sourcemcp-registry
GitHubkeypup-io/engineering-analytics-mcp-server
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

Ask your Keypup engineering data in plain language to track delivery, quality and team workload. The Keypup MCP (Model Context Protocol) server plugs your Keypup engineering analytics directly into any MCP-compatible AI assistant — Claude, Cursor, Kiro, ChatGPT Desktop, Gemini CLI, VS Code, and others. Once connected, you ask questions about your engineering activity in plain language and the AI builds and runs the underlying reporting queries for you. No query language to learn, no code to…

Keywords
mcp