io.github.brianfofficial/retentioncheck-mcp-server

MCPcommunity
v0.6.2io.github.brianfofficialUnknownUpdated 1mo agonpmGitHub

Pull churn from Stripe, Postgres, MySQL, or pasted feedback. AI-ranked drivers + fixes.

MCP server for AI-powered churn analysis. Analyze customer cancellation feedback to identify churn patterns, severity ratings, and actionable recommendations. Analyze cancellation feedback to identify why customers are leaving. (string, required) , cancellation responses, one per line (string, optional) , narrow analysis to a specific area (e.g., "pricing") Output: Structured JSON with executive…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.brianfofficial
LicenseUnknown
Version0.6.2
Sourcemcp-registry
npm@retentioncheck/mcp-server
GitHubbrianfofficial/retentioncheck-v2
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 · clean+30/30
✓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—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface11 tools · 1 privileged
Security scan✓ Cleanv0.6.3 · 20d 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 server for AI-powered churn analysis. Analyze customer cancellation feedback to identify churn patterns, severity ratings, and actionable recommendations. Analyze cancellation feedback to identify why customers are leaving. (string, required) , cancellation responses, one per line (string, optional) , narrow analysis to a specific area (e.g., "pricing") Output: Structured JSON with executive summary, priority action, and categorized insights (reason, count, percentage, severity, confidence,…

Keywords
mcp