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How to Use the vCard Contacts Parser Alternative MCP in Mastra AI

Build Complex Workflows with vCard Contacts Parser Alternative using Mastra AI.

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Connect vCard Contacts Parser Alternative MCP to Mastra AI

Create your Vinkius account to connect vCard Contacts Parser Alternative 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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Parsing Travel Data for Workflow Validation

Use the `parse_travel_itinerary` tool to convert raw travel text into structured JSON, making it reliable input for your workflows. This is crucial when you need to validate booking details—for instance, checking if all necessary flight numbers and hotel names are present. Because Mastra AI handles complex multi-step logic, you can build a workflow that automatically retries the parsing step if the initial text format fails validation.

Handling Messy VCF Inputs Gracefully

Don't let messy iPhone or Android vCard exports break your process. The `parse_travel_itinerary` tool reliably turns structured itineraries into machine-readable JSON segments. This stability allows you to build robust, failure-proof workflows. If the parsed data is incomplete (e.g., missing a transfer time), Mastra AI can trigger an alert or run a secondary cleaning step before failing.

Enriching Contacts through Workflow Steps

You can use this MCP Server's output to enrich data within your workflow. The tool identifies specific elements like meals and sightseeing activities, which you can then pass to a downstream service for cost analysis or resource allocation. This allows the developer building the flow to create advanced logic: 'If a hotel check-in is identified, then automatically book transportation.'

Setup guide

Set up vCard Contacts Parser Alternative 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All vCard Contacts Parser Alternative tools become native Mastra tools.

  4. 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: "vcard-contacts-parser-alternative-mcp-client",
  servers: {
    "vcard-contacts-parser-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent vCard Contacts Parser Alternative transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by vcard-parser. 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 vCard Contacts Parser Alternative MCP in Mastra AI

It provides clean JSON output from messy travel text, which acts as stable input for your multi-step workflows. You can guarantee that the data needed for conditional branching is always structured correctly.
For parsing complex travel itineraries within a robust workflow built on Mastra AI, this MCP Server is highly recommended. It ensures reliable data handling regardless of the source format.
Yes. The `parse_travel_itinerary` tool specifically identifies flights, hotels, transfers, meals, and sightseeing activities from raw text, allowing your Mastra AI agent to process various segments of a trip.
It's built for stability. The tool converts unstructured travel data into predictable JSON formats, which is exactly what you need to build workflows that handle failures gracefully and continue running.
It processes structured travel itinerary text from contact exports. The data types it identifies include locations, times, flight details, hotel check-ins, transfers, and activity descriptions.

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