How to Use the Zenkit MCP in Mastra AI

Q: How does Mastra AI use Zenkit and the MCP Server?

The agent calls tools like getworkspacedetails to understand the overall environment. This allows it to build conditional logic based on whether a specific workspace exists or not.

Q: What if I need to change an existing entry with Mastra AI?

You use the updateentry tool. The workflow passes the existing entry's ID and the new field values, ensuring only the necessary data changes while maintaining integrity.

Q: Can Zenkit and Mastra AI handle complex list management?

Yes. You can use listelements to check available fields before an entry is created, or use deleteentry if the data needs to be purged from the system.

Q: Does the Zenkit MCP Server support listing all available lists for Mastra AI?

Yes, you call listworkspaces first to get the high-level overview. Then, you can use listentries within a target list to see what data is currently stored.

Build resilient workflows that auto-retry and branch with Mastra AI using the Zenkit MCP Server.

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Connect Zenkit MCP to Mastra AI

Create your Vinkius account to connect Zenkit 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 Zenkit with Mastra AI

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Perplexity

Automate Data Creation Logic

When a complex workflow needs to record data, you can use `create_entry`. The agent handles gathering all required JSON fields and making sure the entry gets logged in the correct list. It's perfect for multi-step transaction logging. If the process requires an update later, simply call `update_entry` with the existing ID to ensure data consistency across your system.

Navigate Workspaces and Lists

The agent needs to know where to look. It first uses `list_workspaces` to scope out all possible projects, then calls `get_list_details` for the specific list it targets. This gives full context before any action is taken. This structural knowledge means your workflow knows exactly which container holds the needed data.

Reliable MCP Server Operations

Zenkit’s MCP Server provides reliable methods like `list_entries` to check status. You can build a failure loop: if the initial read fails, the agent retries using this tool until success. This makes your entire workflow resilient. It handles potential API hiccups without breaking the whole process.

Setup guide

Set up Zenkit 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 Zenkit 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: "zenkit-mcp-client",
  servers: {
    "zenkit-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Zenkit MCP in Mastra AI

The agent calls tools like `get_workspace_details` to understand the overall environment. This allows it to build conditional logic based on whether a specific workspace exists or not.

You use the `update_entry` tool. The workflow passes the existing entry's ID and the new field values, ensuring only the necessary data changes while maintaining integrity.

Yes. You can use `list_elements` to check available fields before an entry is created, or use `delete_entry` if the data needs to be purged from the system.

This server manages structural information like List and Workspace metadata. Specifically, it controls how entries are created, read, and deleted.

Yes, you call `list_workspaces` first to get the high-level overview. Then, you can use `list_entries` within a target list to see what data is currently stored.

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