Upzelo MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Get Customer, Get Flow, Get Flow Session, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Upzelo through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Upzelo app connector for Mastra AI is a standout in the Sales Automation category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"upzelo": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Upzelo Agent",
instructions:
"You help users interact with Upzelo " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Upzelo?"
);
console.log(result.text);
}
main();
* 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
About 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.
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.
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.
The Upzelo MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Upzelo tools available for Mastra AI
When Mastra AI connects to Upzelo through Vinkius, your AI agent gets direct access to every tool listed below — spanning churn-reduction, subscription-management, customer-retention, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Upzelo to Mastra AI via MCP
Follow these steps to wire Upzelo into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Upzelo MCP Server
Mastra AI provides unique advantages when paired with Upzelo through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Upzelo without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Upzelo tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Upzelo + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Upzelo MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Upzelo, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Upzelo as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Upzelo on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Upzelo tools alongside other MCP servers
Example Prompts for Upzelo in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Upzelo immediately.
"List all customers currently tracked in Upzelo."
"Trigger the 'Basic Retention' flow (ID: fl_8823) for customer 'cust_1029'."
"Show me the details for subscription 'sub_12903'."
Troubleshooting Upzelo MCP Server with Mastra AI
Common issues when connecting Upzelo to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpUpzelo + Mastra AI FAQ
Common questions about integrating Upzelo MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.