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

Q: How does the vCard Contacts Parser Alternative integrate with Google ADK?

You pass the MCP toolset to your LlmAgent. The agent calls parsetravelitinerary and gets structured JSON segments back, which you can then query directly in BigQuery or Vertex AI.

Q: Can I use vCard Contacts Parser Alternative as an alternative to other parsers with Google ADK?

Yes. Because it covers both .vcf exports and detailed itineraries, it handles a much wider scope of unstructured data than single-purpose parsers, giving you better coverage on your agent tasks.

Structured Data Extraction for Google ADK Agents.

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Connect vCard Contacts Parser Alternative MCP to Google ADK

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

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Parse Travel Details with MCP Server

Hand over raw itinerary text, complete with day headers and time entries. The `parse_travel_itinerary` tool extracts segments identifying flights, hotel check-ins, transfers, meals, and sightseeing activities into clean JSON. You get a perfect timeline every time.

Process vCard Exports in Google ADK

Don't waste time cleaning up massive iPhone or Android `.vcf` exports manually. This MCP Server converts them instantly to structured JSON, turning your agent into a powerful data processor. It’s perfect for agents that need reliable contact book access without requiring manual cleanup steps.

Reliable Data Handling with Google ADK

The `vcard-contacts-parser-alternative-mcp` server lets your agent handle diverse data. It takes raw text from itineraries and converts unstructured vCard dumps into predictable, usable JSON records. This ensures that whether the source is a trip plan or a contact list, the resulting data structure supports BigQuery ingestion.

Setup guide

Set up vCard Contacts Parser Alternative 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 Alternative 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 Alternative_agent",
    model="gemini-2.0-flash",
    instruction="You have access to vCard Contacts Parser Alternative tools via MCP.",
    tools=mcp_tools,
)

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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 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 Google ADK

You pass the MCP toolset to your LlmAgent. The agent calls `parse_travel_itinerary` and gets structured JSON segments back, which you can then query directly in BigQuery or Vertex AI.

It's highly reliable. It handles both travel itineraries and raw contact dumps, making it a solid replacement for basic parsers when working within the enterprise environment of Google Cloud.

It provides highly organized JSON. This includes separating different travel events—like flights and meals—from a single block of text, making the output immediately actionable in your pipelines.

Yes. Because it covers both `.vcf` exports and detailed itineraries, it handles a much wider scope of unstructured data than single-purpose parsers, giving you better coverage on your agent tasks.

The server manages contact information (vCards) and location/time coordinates derived from travel itineraries. Be mindful that this involves Personally Identifiable Information (PII).

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