How to Use the Anura MCP in Mastra AI

Q: How do I add the Anura MCP Server to a Mastra AI agent?

Install the package using npm install @mastra/mcp@latest. Initialize the MCPClient with the Vinkius URL, call listTools(), and spread the tools directly into your agent's configuration.

Q: Does Mastra AI support human approval for Anura tools?

Yes, you can use the requireToolApproval setting in Mastra AI. This pauses your workflow and waits for manual confirmation before letting the agent query the Anura API.

Build resilient, self-healing ad fraud workflows using Mastra AI and the Anura integration.

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Connect Anura MCP to Mastra AI

Create your Vinkius account to connect Anura 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 Anura with Mastra AI

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Automated Fraud Response Workflows

The `get_system_status` tool integrates directly into Mastra AI workflows, allowing your agents to verify if the fraud detection API is active before processing high-value ad campaigns. If the tool reports an outage, Mastra's workflow engine can trigger conditional branches to pause traffic or alert your team. This setup ensures you never run ads without active fraud protection. By spreading the tool into your Mastra agent, the LLM can autonomously decide whether to route traffic through alternative verification paths.

Resilient Retries for Anura via Mastra AI

Network blips shouldn't break your security monitoring, which is why this Mastra AI integration uses built-in exponential backoff when executing `get_system_status`. If the initial check fails, the workflow engine automatically retries the tool before escalating the issue. This prevents false alarms in your ad fraud dashboards. Your agent receives a reliable status report only after Mastra confirms the connection is truly down, saving your team from waking up to temporary API hiccups.

Human-in-the-Loop Verification with MCP

When your agent detects an anomaly using the `get_system_status` tool on this MCP Server, you might want a human to verify the status before pausing campaigns. Mastra AI provides a `requireToolApproval` flag that blocks the execution of the status check or subsequent actions until an admin signs off. This gives you fine-grained control over your ad fraud operations. Your agent does the heavy lifting of checking the system, but you retain final approval before modifying your active ad networks.

Setup guide

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

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

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

Install the package using `npm install @mastra/mcp@latest`. Initialize the `MCPClient` with the Vinkius URL, call `listTools()`, and spread the tools directly into your agent's configuration.

Yes, Mastra AI features a built-in workflow engine that supports automatic retries with exponential backoff. If the Anura system status check fails due to a network glitch, the agent will retry the operation automatically.

Yes, you can use the `requireToolApproval` setting in Mastra AI. This pauses your workflow and waits for manual confirmation before letting the agent query the Anura API.

The framework automatically detects the transport type, supporting both Server-Sent Events (SSE) and Streamable HTTP. This ensures your agent can query the fraud detection status without complex manual network configurations.

All communication runs through Vinkius's zero-trust V8 sandbox, which isolates your API keys and system status data. Mastra AI only receives the raw status output, keeping your core security credentials safe from exposure.

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