How to Use the vCard Contacts Parser MCP in Pydantic AI

Q: How do I handle vCard contacts with Pydantic AI?

Use vcard-contacts-parser-extended. Pass the file path to your .vcf export. Since you're using Pydantic, you get a guaranteed, typed JSON output containing names, phones, emails, and organization details.

Q: What happens if the contact data is messy?

Pydantic validates the output from vcard-contacts-parser-extended. If the server spits out unexpected or malformed JSON—even if the vCard was complex—the agent fails with a clear error, not junk data.

Ensure perfect contact parsing results with Pydantic AI's type-safe MCP Server toolset.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect vCard Contacts Parser MCP to Pydantic AI

Create your Vinkius account to connect vCard Contacts Parser to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup vCard Contacts Parser with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Type-Safe Contact Parsing

The `parse_vcard_contacts` tool reads your `.vcf` file path. It converts raw contact exports into structured JSON, but more importantly, it guarantees that the output adheres to a strict schema. When you use this MCP Server with Pydantic AI, every field—names, phones, emails, and organizations—is validated at runtime.

Validation for vCard Contacts Parser Extended

The primary benefit of using `vcard-contacts-parser-extended` here is error prevention. If the underlying API returns weird data, your agent fails loudly with a validation error. No silent corruption. This means you're always dealing with correct JSON that matches expected types, which is crucial when writing production code.

MCP Server Integration for Pydantic AI

Passing this toolset to your Agent makes contact parsing a reliable step in any workflow. The `pydantic-ai` framework treats the output of the server as strongly typed data. This is perfect when correctness matters more than speed, because you never have to worry about hallucinated fields or unexpected data structures.

Setup guide

Set up vCard Contacts Parser 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-extended-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 tools.",
)

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

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect vCard Contacts Parser now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about vCard Contacts Parser MCP in Pydantic AI

Use `vcard-contacts-parser-extended`. Pass the file path to your `.vcf` export. Since you're using Pydantic, you get a guaranteed, typed JSON output containing names, phones, emails, and organization details.

Yes, it integrates perfectly. The MCP Server handles the parsing, and Pydantic guarantees that the resulting JSON structure is valid before your agent uses it. You'll catch data errors immediately.

It processes names, multiple phone numbers, emails, and company organizations. Because you use Pydantic AI, you know exactly what structure those fields will take, preventing runtime errors.

Pydantic validates the output from `vcard-contacts-parser-extended`. If the server spits out unexpected or malformed JSON—even if the vCard was complex—the agent fails with a clear error, not junk data.

This server touches sensitive personal contact information: names, email addresses, and phone numbers. Treat this data as private; Pydantic helps ensure the handling process is predictable.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript