How to Use the IP Address Parser MCP in Mastra AI

Build resilient network workflows with Mastra AI and the IP Address Parser MCP Server.

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Connect IP Address Parser MCP to Mastra AI

Create your Vinkius account to connect IP Address Parser 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 IP Address Parser with Mastra AI

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Claude

Perplexity

Automate IP classification in Mastra AI agents

Integrate `parse_ip_address` into your agent's toolset to handle network address logic automatically. Your agents can now branch workflows based on whether an IP is public or private. It removes the need for manual validation steps in your agent code. The tool returns structured data that your Mastra workflows can consume immediately.

Build robust error handling for network tasks

Use the parser to catch malformed inputs before your agent attempts to route traffic. If the tool fails to parse a string, your workflow can trigger a fallback or alert an admin. This prevents bad data from propagating through your multi-step pipelines. It keeps your system state clean by validating inputs at the entry point.

Standardize network data across complex chains

Whether you are dealing with IPv4 or IPv6, the parser normalizes everything to a standard format. This ensures your downstream Mastra AI steps always receive consistent data structures. It bridges the gap between raw input and actionable logic. You get reliable address classification without writing custom validation code.

Setup guide

Set up IP Address Parser 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 IP Address Parser 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: "ip-address-parser-mcp-client",
  servers: {
    "ip-address-parser-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about IP Address Parser MCP in Mastra AI

Import the MCP client into your Mastra project and register the server URL. Once added, you can spread the available tools into your agent's definition.

You can configure your Mastra workflow to retry tool calls if the network connection drops. The parser itself is stateless and ready for rapid-fire requests.

Yes. You can use the range classification output from the tool to decide which path your agent should take, such as blocking a private IP range.

It runs in a sandbox provided by Vinkius. Your agent communicates with it over a secure connection, keeping the parsing logic separate from your main agent code.

It stores nothing. Every request is ephemeral and only processes the specific address string you provide, ensuring no persistence of your network data.

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