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Integration Stacks

Customer Success Stack

Intercom, ChurnZero, and Stripe connected for retention ops

// First 7 days

What can be running fast.

01

Get a ready-to-run system that replaces blank-page setup.

02

Ship a usable package with 12 included files and working structure.

03

Move from purchase to first setup in about 10 min.

// Included files

What is inside the package.

mcp-servers.json
servers/intercom/config.json
servers/intercom/auth-setup.md
servers/churnzero/config.json
servers/churnzero/auth-setup.md
servers/stripe/config.json
servers/stripe/auth-setup.md
docker-compose.yaml
env.example
scripts/setup.sh
scripts/test-connections.sh
README.md

Description

What is Customer Success Stack?

An MCP bundle for customer success teams. Includes Intercom (conversations, contacts, tags), ChurnZero (health scores, plays, segments), and Stripe (subscriptions, invoices, payment status). Lets your agent monitor customer health, respond to tickets, and track revenue impact in one workflow.

solo-unicornclaude-codecursor

Upgrade path

  • 01Start with this package and validate the workflow.
  • 02Add specialized skills or bundles once the core system is stable.
  • 03Use the community to sharpen positioning, demos, and feedback loops.
Previewmcp-servers.json
// mcp-servers.json
{
  "mcpServers": {
    "intercom": {
      "command": "npx",
      "args": ["-y", "@mcp/intercom-server"],
      "env": {
        "INTERCOM_ACCESS_TOKEN": "${INTERCOM_ACCESS_TOKEN}",
        "INTERCOM_APP_ID": "${INTERCOM_APP_ID}"
      }
    },
    "churnzero": {
      "command": "npx",
      "args": ["-y", "@mcp/churnzero-server"],
      "env": {
        "CHURNZERO_API_KEY": "${CHURNZERO_API_KEY}",
        "CHURNZERO_APP_URL": "${CHURNZERO_APP_URL}"
      }
    },
    "stripe": {
      "command": "npx",
      "args": ["-y", "@mcp/stripe-server"],
      "env": {
        "STRIPE_SECRET_KEY": "${STRIPE_SECRET_KEY}"
      }
    }
  }
}

// Community acceleration

Use the room after the purchase.

Bring your workflow into the Solo Unicorn community for sharper feedback, operator critique, and more visibility once the system is live.

Discuss implementation