How to Use the Hudu MCP in Mastra AI

Q: Can I use Hudu for automated incident response in Mastra AI?

You can. By linking getprocedure to your incident triage agent, you provide the team with instant access to the right steps during an outage.

Build resilient IT workflows in Mastra AI by connecting your Hudu documentation to autonomous, failure-aware agent logic.

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Connect Hudu MCP to Mastra AI

Create your Vinkius account to connect Hudu 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 Hudu with Mastra AI

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Automated IT Workflows for Mastra AI

Construct multi-step agent plans that rely on `list_companies` and `get_company` for accurate context. Mastra AI executes these calls within a workflow engine that handles retries and branching automatically. If a lookup fails, the workflow engine catches it. You can define logic that triggers an alternative path if `get_asset` returns an error, keeping your operations moving without manual intervention.

Secure Password Vault Integration

Retrieve credentials using `get_password` inside your Mastra AI agents while enforcing human-in-the-loop requirements. You can require approval for any tool call that touches your secure vault. This adds a layer of safety to your automation. By wrapping these tools in Mastra's approval gates, you ensure that no sensitive data is accessed without a verified technician signing off on the action.

Infrastructure Documentation Sync

Keep your documentation alive by using `create_asset` or `create_company` as steps in your agent-driven tasks. When your Mastra AI agent detects a new system, it can document it automatically. This turns your documentation into an active participant in your infrastructure lifecycle. Instead of static records, you get a system that records its own changes as they happen.

Setup guide

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

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

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

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Common questions about Hudu MCP in Mastra AI

Absolutely. You can branch your workflows based on the output of `list_procedures`, allowing your agents to decide the next step based on the actual documentation.

Use the built-in approval middleware. It forces a human check before the agent can successfully execute `get_password` or any other sensitive tool.

You can. By linking `get_procedure` to your incident triage agent, you provide the team with instant access to the right steps during an outage.

The server reports the error, and Mastra's workflow engine can be configured to wait and retry, preventing your agent from crashing mid-task.

Your credentials and asset metadata move through an ephemeral tunnel. We don't store your data; the agent only holds the information in its working memory for the duration of the task.

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