How to Use the Sobot MCP in Mastra AI

Q: Can I use the Sobot MCP Server in mastra-ai?

Yes. You can integrate tools like createticket into a complex, multi-step workflow using mastra-ai. For example, if a customer's issue requires an agent, your workflow automatically creates the ticket and assigns it.

Q: What is the best practice for managing Sobot tools with mastra-ai?

Pass the required MCP tools—like getticketdetails or listagents—directly into your workflow definition. This keeps your complex processes focused and prevents accidental calls.

Build Resilient Workflows with mastra-ai: Automate complex Sobot support processes that handle failures gracefully.

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…and any MCP-compatible client

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Connect Sobot MCP to Mastra AI

Create your Vinkius account to connect Sobot to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sobot with Mastra AI

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Gemini

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Conditional Ticket Routing

Use `get_org_summary` to check the organization's activity before deciding which process path to take. The workflow can branch—for instance, if the summary shows high volume in one region, it automatically triggers a specialized escalation flow. It’s built for reliability. If an initial API call fails or returns incomplete data, `mastra-ai` doesn't quit; it retries with backoff until the necessary information is gathered.

Deep Knowledge Retrieval

Need to find specific answers? Run `get_knowledge_detail` and feed that article content into your workflow. If the core details are missing, the system can automatically trigger a secondary search using `list_knowledge` before notifying an admin. This multi-step process ensures you don't just guess; you systematically gather all necessary data points to complete the task.

Agent Capacity Checks

Before attempting a resolution, check agent availability by calling `list_agents`. Your workflow can enforce rules: if fewer than three agents are online (`get_agent_status`), the entire ticket handling sequence pauses and notifies a supervisor. This built-in failure path prevents your automated process from failing halfway through because of simple staffing shortages.

Setup guide

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

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

const result = await agent.generate(
  "List recent Sobot 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 Sobot. 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 Sobot MCP in Mastra AI

It handles failure by building retries into the workflow itself. If a tool call like `list_tickets` fails due to temporary network issues, `mastra-ai` automatically attempts it again until successful or until you hit a configured limit.

The server touches user identity and support records. Specifically, calling `list_users` provides customer data that your workflow must treat with high security throughout its execution path.

Yes. You can integrate tools like `create_ticket` into a complex, multi-step workflow using `mastra-ai`. For example, if a customer's issue requires an agent, your workflow automatically creates the ticket and assigns it.

Pass the required MCP tools—like `get_ticket_details` or `list_agents`—directly into your workflow definition. This keeps your complex processes focused and prevents accidental calls.

It's designed to work with autonomous agents. Because the MCP Server provides structured data (like ticket status or user lists), it integrates cleanly into `mastra-ai`'s robust, failure-proof execution engine.

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