Bring Churn Reduction
to Mastra AI
Learn how to connect Upzelo to Mastra AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Upzelo MCP Server?
Connect your Upzelo churn management account to any AI agent and simplify how you retain customers and manage subscription lifecycles through natural conversation.
What you can do
- Customer Management — List and search customer records, and update profile data for better segmentation and targeting.
- Retention Flows — List available flows and manually trigger retention sequences for customers at risk of cancelling.
- Subscription Tracking — Query all tracked subscriptions and update statuses or trial details programmatically.
- Flow Monitoring — Check the real-time status and outcomes of active flow sessions to verify retention success.
- External ID Sync — Link your internal system identifiers to Upzelo customer records for seamless integration.
How it works
1. Subscribe to this server
2. Enter your Upzelo App ID and API Key (found in your developer settings)
3. Start managing your retention strategy from Claude, Cursor, or any MCP client
Who is this for?
- Customer Success Managers — quickly trigger retention flows and check customer health via simple AI commands.
- Product Operations — monitor subscription statuses and sync customer data directly from the workspace.
- Business Growth Teams — get instant insights into flow performance and active retention sessions.
Built-in capabilities (10)
Get details for a specific customer
Get details for a specific flow
Check the status of a flow session
Get details for a specific subscription
List all customers in Upzelo
List all retention flows
List all subscriptions
Used for segmentation and targeting. Create or update a customer record
Initialize a flow for a customer
Update subscription attributes
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Upzelo tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Upzelo without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Upzelo tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Upzelo in Mastra AI
Upzelo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Upzelo to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Upzelo in Mastra AI
The Upzelo MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Upzelo for Mastra AI
Every tool call from Mastra AI to the Upzelo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I manually start a retention flow for a customer via AI?
Yes! Use the start_flow tool and provide the Flow ID, Customer ID, and Subscription ID. This will initialize the retention experience for that user immediately.
How do I see if a customer successfully stayed after a flow?
Run the get_flow_session query with the specific Session ID. It will return the outcome and status of the retention attempt.
Is it possible to update a subscription's status via AI?
Absolutely. Use the update_subscription tool by providing the Subscription ID and the new status to synchronize data between your systems and Upzelo.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp