How to Use the Jitbit MCP in Mastra AI

Q: How does Mastra AI handle Jitbit tool approvals?

You can set requireToolApproval in your client config. This forces the agent to pause until a human confirms the action, like creating a sensitive ticket.

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Connect Jitbit MCP to Mastra AI

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Setup Jitbit with Mastra AI

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Conditional helpdesk logic in Mastra AI

Set up workflows that react to ticket status. Use `get_ticket_details` to check for specific issues and branch your logic based on the response. It handles the branching automatically. If a ticket is high-priority, you can route it to a specific team member without any manual intervention.

Automated retries for Jitbit operations

Mastra AI manages the execution of your helpdesk tasks. If a network blip hits during a `create_support_ticket` call, the engine handles the backoff and retry for you. This keeps your operations running without you needing to write custom error-handling loops. It just works in the background.

Multi-step ticket management

Chain your tools together into a single pipeline. You can list categories with `list_ticket_categories`, pick one, and then log the issue with `create_support_ticket` as one continuous flow. Your agents can perform complex sequences of actions. It turns simple helpdesk tasks into autonomous operations that run on your schedule.

Setup guide

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

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

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

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Common questions about Jitbit MCP in Mastra AI

You can set `requireToolApproval` in your client config. This forces the agent to pause until a human confirms the action, like creating a sensitive ticket.

Absolutely. You can import the server into your agent definition and use the tools as steps in your workflow engine.

Yes, the framework automatically manages retries for failed tool calls. You just define the workflow and let the engine handle the rest.

Data is processed in memory during the execution of the workflow. The server only touches the helpdesk API during the specific tool call.

The platform logs every tool call made by your agent. You can inspect the history to see exactly which commands were sent to the helpdesk.

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