Use OpenClaw with ChurnWin's churn feedback MCP server
OpenClaw is a self-hosted gateway that connects chat apps to AI agents. ChurnWin gives the agent read-only access to Stripe churn signals, cancellation feedback, MRR-weighted reasons, and retention action plans before it touches your codebase.
Review the official OpenClaw documentation for the current gateway, agent, and configuration model before adapting the conditional MCP example below.
Discover churn themes
OpenClaw reads ChurnWin's churn reasons, recent churn, cancellation feedback, and action plan via MCP.
Open product work
The agent turns repeated complaints into issues or PR plans instead of guessing what customers want.
Keep writes separate
Use ChurnWin as read-only context. Let your code agent propose changes, but keep billing and customer outreach human-approved.
MCP server config
If your OpenClaw setup accepts MCP server definitions, add ChurnWin as a remote HTTP MCP server. Use a placeholder in docs and keep the real key in your local secret store.
{
"mcpServers": {
"churnwin": {
"url": "https://api.churnwin.com/mcp/",
"headers": {
"Authorization": "Bearer cwk_live_YOUR_KEY_HERE"
}
}
}
}The same endpoint works for any MCP-compatible client. If your OpenClaw build has a different config filename, keep the server name, URL, and Authorization header the same.
Agent instruction
Before proposing code changes, call ChurnWin to inspect churn reasons, cancellation feedback, and the retention action plan. Create a short retention hypothesis, then suggest one small PR or GitHub issue. Redact customer emails, names, Stripe IDs, and raw comments.
Good OpenClaw tasks
Retention issue triage
Ask OpenClaw to group new churn feedback into themes, search for existing issues, and create one backlog-ready issue only when the signal is repeated or high MRR.
Copy or onboarding fix
Give OpenClaw the top churn theme and ask it to inspect the onboarding or pricing flow for a small fix, then open a PR with screenshots and local verification.
Feedback before code
ChurnWin helps OpenClaw avoid random roadmap work: the agent starts with what churned customers actually said, then proposes the smallest measurable product change.