How to Use the Fluxguard MCP in Mastra AI

Q: Can I automate Fluxguard alert responses in Mastra AI?

Absolutely. Your agent can call acknowledgealert automatically when a change is verified as safe by your business logic.

Q: Does Fluxguard support conditional logic in Mastra AI?

It does. You can use the output of getchange to drive conditional branches in your agent's workflow.

Fluxguard integrates with Mastra AI to build resilient, self-healing site monitoring workflows with automated branching.

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Connect Fluxguard MCP to Mastra AI

Create your Vinkius account to connect Fluxguard 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 Fluxguard with Mastra AI

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Perplexity

Automated crawl and response logic

Trigger `initiate_crawl` within your Mastra workflow to scan protected sites. If the scan detects a variance, your agent branches into remediation steps. Handle failures by inspecting `list_changes`. Your workflow decides whether to retry the scan or flag the site for manual review.

Stateful alert management

Track site health by calling `list_alerts` as part of your agent's task sequence. This allows the system to differentiate between trivial updates and security incidents. Once the agent evaluates the threat, it calls `acknowledge_alert` to clear the queue. This ensures your team only sees actionable information.

Structured site configuration

Organize your monitoring targets with `create_category` and `add_page`. This keeps your agent's scope defined and manageable. Retrieve specific site details using `get_site` to inform your agent's next move. It keeps the context tight and the logic focused on the specific domain.

Setup guide

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

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

const result = await agent.generate(
  "List recent Fluxguard 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 Fluxguard. 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

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Common questions about Fluxguard MCP in Mastra AI

You register the MCP tools directly into your agent configuration. The agent then calls functions like `initiate_crawl` as steps in your workflow.

Absolutely. Your agent can call `acknowledge_alert` automatically when a change is verified as safe by your business logic.

It does. You can use the output of `get_change` to drive conditional branches in your agent's workflow.

Your snapshots live in a short-lived memory space. We delete the data as soon as your agent session concludes.

We isolate your configuration behind an endpoint token. Only your authenticated agent can access the list of monitored sites.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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