How to Use the Zuplo MCP in Mastra AI

Q: How does Zuplo help manage deployments using Mastra AI?

Mastra AI uses createdeployment to launch new API gateway versions. It then relies on listdeployments so your workflow knows exactly which endpoints are live and ready for traffic.

Q: Can I list Zuplo projects with Mastra AI?

Yes, calling listprojects gives the agent a full inventory of every project managed by Zuplo. This is key for starting any complex multi-step workflow.

Q: Does Zuplo let me see all environments with Mastra AI?

The listenvironments tool lets your workflow engine check which specific deployment targets exist for a project, such as 'working' or 'production'.

Q: If I need metrics for Zuplo using Mastra AI, what tool do I use?

You call getmetrics and pass in the necessary consumer ID or deployment name. This feeds critical performance data directly into your automated workflow for analysis.

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Create your Vinkius account to connect Zuplo to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zuplo with Mastra AI

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Automate Consumer Management

The `list_consumers` tool lets your agent see all current API key consumers. You can then use `create_consumer` to onboard a new user automatically. When a consumer's access ends, calling `delete_consumer` removes the keys and updates the system records with one command.

Deploy and Track Gateways

To deploy a service, run `create_deployment`. This starts the process of getting your API gateway live. You can then check on its status using `list_deployments`. For configuration files, use `list_files`. This helps your workflow engine find exactly what it needs to build the deployment.

Identify Zuplo Projects and Environments

Your agent first runs `list_projects` to catalog all available Zuplo projects. Once a project is selected, you can use `list_environments` to determine which target environment (like 'production') the deployment should hit. If you need more detail on what's configured, run `list_custom_domains`. This shows every custom domain associated with the project.

Setup guide

Set up Zuplo MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zuplo tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "zuplo-mcp-client",
  servers: {
    "zuplo-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zuplo Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zuplo tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zuplo transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zuplo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Zuplo MCP in Mastra AI

Mastra AI uses `create_deployment` to launch new API gateway versions. It then relies on `list_deployments` so your workflow knows exactly which endpoints are live and ready for traffic.

Yes, calling `list_projects` gives the agent a full inventory of every project managed by Zuplo. This is key for starting any complex multi-step workflow.

The server manages API key consumer records, so it handles sensitive credential types like API keys. Your agent must ensure the required credentials are validated before attempting to list or modify consumers.

The `list_environments` tool lets your workflow engine check which specific deployment targets exist for a project, such as 'working' or 'production'.

You call `get_metrics` and pass in the necessary consumer ID or deployment name. This feeds critical performance data directly into your automated workflow for analysis.

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