How to Use the Senar.io MCP in Mastra AI

Q: Is Senar.io compatible with Mastra AI multi-step workflows?

Yes. You can sequence tool calls like listusers followed by getprogress to build deep audit trails. It fits perfectly into any pipeline.

Automate your SecOps workflows in Mastra AI by connecting your agents to the Senar.io MCP server.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Senar.io MCP to Mastra AI

Create your Vinkius account to connect Senar.io 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 Senar.io with Mastra AI

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Automated threat response in Mastra AI

Build agent workflows that trigger `get_activity_data` when your system detects an anomaly. If the data confirms a breach, your Mastra AI agent can immediately execute `create_user_and_assign` to quarantine the account. This moves security from a manual chore to an automated process. Your agents handle the heavy lifting of correlation and response.

Monitor user behavior with Mastra AI

Use `get_user_sessions` as a trigger for your agentic workflows. When an agent spots suspicious patterns, it checks `get_user_details` to determine the scope of the threat. Branch your logic based on these results. You can build complex loops that escalate issues only when specific risk thresholds are met.

Manage simulator collections in Mastra AI

Organize your AR threat scenarios by querying `list_collections`. Your agents use `get_collection_details` to select the right training environment based on the current incident type. Update your threat intelligence library using `add_content` dynamically. The system learns and adapts as your agents find new patterns.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Senar.io. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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60%

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Senar.io MCP in Mastra AI

Register the server URL in your Mastra configuration file. The framework will automatically detect and list the tools for your agents to use.

Absolutely. Once defined in your agent tools, they will call the server based on your workflow logic. You can even add human-in-the-loop approval for sensitive actions.

Use the built-in retry and backoff logic in your workflow definitions. This ensures your security monitoring remains consistent even if a network request drops.

Yes. You can sequence tool calls like `list_users` followed by `get_progress` to build deep audit trails. It fits perfectly into any pipeline.

We isolate your session logs and user data within the execution context of your local agent. Your security metrics never leave your infrastructure.

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