How to Use the vCard Contacts Parser Extended MCP in Google ADK

Q: How do I handle vCard contacts with Google ADK?

You use vcard-contacts-parser-extended. Just give it the file path of your .vcf export. It spits out clean JSON, making names, emails, phones, and organizations immediately usable by your agent.

Q: What file types can this MCP Server process?

The server expects a vCard format (.vcf) contact export file path. It cannot handle other formats, so make sure your source data is correctly exported from your device.

Process contacts and structure data for enterprise agents using the Google ADK.

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Connect vCard Contacts Parser Extended MCP to Google ADK

Create your Vinkius account to connect vCard Contacts Parser Extended to Google ADK 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 vCard Contacts Parser Extended with Google ADK

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Structuring Contacts with Google ADK

The `parse_vcard_contacts` tool takes a file path to any `.vcf` export. It converts messy contact exports—whether from Android or Apple—into clean, structured JSON data. This means your enterprise agents can ingest and process names, phone numbers, emails, and organization details using native Google Cloud tools.

Enterprise Data Handling via MCP Server

Using the MCP Server allows your Google ADK agent to manage contact data before it hits BigQuery. It goes beyond simple name extraction. The tool specifically separates and validates fields for names, multiple phone numbers, emails, and organizational affiliations, keeping your long-context reasoning clean.

Integrating Contact Parsing into Google ADK

You pass the `vcard-contacts-parser-extended` toolset directly to your LlmAgent. This keeps contact processing within your existing Google Cloud infrastructure. The result is an agent that can act on structured contacts right out of the box, without needing external data prep steps.

Setup guide

Set up vCard Contacts Parser Extended MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with vCard Contacts Parser Extended tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="vCard Contacts Parser Extended_agent",
    model="gemini-2.0-flash",
    instruction="You have access to vCard Contacts Parser Extended tools via MCP.",
    tools=mcp_tools,
)

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Common questions about vCard Contacts Parser Extended MCP in Google ADK

You use `vcard-contacts-parser-extended`. Just give it the file path of your `.vcf` export. It spits out clean JSON, making names, emails, phones, and organizations immediately usable by your agent.

Yes, it integrates seamlessly. This MCP Server converts large contact exports into structured JSON that feeds directly into the Gemini models running through your LlmAgent on Google Cloud.

It provides comprehensive structuring for core contact details: names, multiple phone numbers, emails, and company affiliations. This keeps your agent's reasoning grounded when processing raw VCF files.

The server expects a vCard format (`.vcf`) contact export file path. It cannot handle other formats, so make sure your source data is correctly exported from your device.

This server touches sensitive personal contact information, specifically names, email addresses, and phone numbers. Ensure compliance when handling this data within BigQuery or Vertex AI.

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