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

Type-Safe Data Parsing for Pydantic AI.

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Connect vCard Contacts Parser Alternative MCP to Pydantic AI

Create your Vinkius account to connect vCard Contacts Parser Alternative to Pydantic 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 vCard Contacts Parser Alternative with Pydantic AI

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Parse Travel Itineraries with MCP Server

Pass raw itinerary text, including time-based entries and headers. The `parse_travel_itinerary` tool reads the data and outputs structured JSON segments. Since it's validated by Pydantic, you know exactly what fields you're getting back—flights, hotels, meals, etc.

Convert vCard Contacts to Validated Data

Stop worrying about corrupted data from contact exports. This MCP Server takes massive iPhone or Android `.vcf` files and converts them into JSON that strictly adheres to your defined Pydantic models. If the input is bad, the agent fails LOUDLY.

Validate vCard Data with Pydantic AI

The server handles parsing messy contact dumps or complex travel plans into highly structured JSON. Because your agent uses Pydantic, you get runtime validation on everything—no hallucinated fields and no silent data corruption.

Setup guide

Set up vCard Contacts Parser Alternative MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "vcard-contacts-parser-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to vCard Contacts Parser Alternative tools.",
)

result = await agent.run("List recent vCard Contacts Parser Alternative transactions")
print(result.output)

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Common questions about vCard Contacts Parser Alternative MCP in Pydantic AI

The MCP Server outputs JSON that is automatically validated against your Pydantic schemas. You get a type-safe, predictable data structure every time you call the tool.

Yes. It provides reliable parsing of both itineraries and contact dumps, guaranteeing that the output format will match your required data model—a huge win for type safety.

It extracts specific travel details like flights and check-ins from raw text. Crucially, the resulting JSON is checked by Pydantic at runtime, ensuring data integrity.

Because of the built-in validation layer, it’s a safe bet. It handles diverse formats and ensures the data structure—whether from contacts or trips—is always correct for your Python code.

This server processes contact details (vCards) and travel itineraries. Remember that both sources contain sensitive Personally Identifiable Information (PII).

Use it with your favorite AI tools

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