How to Use the vCard Contacts Parser MCP in OpenAI Agents SDK

Q: Can I use vCard Contacts Parser with OpenAI Agents SDK for bulk data?

Yep. It processes massive iPhone and Android .vcf exports directly, turning them into structured JSON that your agent can immediately act on. This saves hours of manual cleaning.

Q: What kind of data does the vCard Contacts Parser handle for OpenAI Agents SDK?

It handles contact information found in .vcf files, plus structured text from Kindle clippings. Essentially, it turns raw communication records into usable JSON formats.

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Connect vCard Contacts Parser MCP to OpenAI Agents SDK

Create your Vinkius account to connect vCard Contacts Parser to OpenAI Agents SDK 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 with OpenAI Agents SDK

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Structured Parsing with the MCP Server

The `parse_kindle_clippings` tool takes raw text from a Kindle's "My Clippings.txt" file and structures it into clean JSON. You don't have to manually sift through highlights or notes; your agent handles that grouping by book. This capability works great for any structured data extraction, whether you're parsing academic clippings or converting large `.vcf` contact exports.

Handling vCard Contacts with OpenAI Agents SDK

Your agent can use the MCP Server to process bulk contact lists. It takes messy iPhone or Android `.vcf` files and turns them into clean JSON records, making your AI client a hyper-intelligent local address book. This is critical when building production systems that need to act on personal data without manual ETL steps.

Reliable Data Transformation via MCP Server

The core function of the MCP Server is turning unstructured text into predictable JSON. Using `parse_kindle_clippings`, you can reliably extract highlights, notes, and bookmarks while keeping them grouped by their original source book. This approach gives your agent full control over data fidelity, eliminating guesswork when processing external files.

Setup guide

Set up vCard Contacts Parser MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all vCard Contacts Parser tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives vCard Contacts Parser tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate vCard Contacts Parser tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="vCard Contacts Parser Agent",
            instructions="You have access to vCard Contacts Parser tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about vCard Contacts Parser MCP in OpenAI Agents SDK

You simply pass the MCP Server to your Agent constructor. The agent auto-discovers the tools, meaning you don't need custom code just for parsing contact files or Kindle clippings.

Yep. It processes massive iPhone and Android `.vcf` exports directly, turning them into structured JSON that your agent can immediately act on. This saves hours of manual cleaning.

It handles contact information found in `.vcf` files, plus structured text from Kindle clippings. Essentially, it turns raw communication records into usable JSON formats.

The server touches contact information (VCF files). Since you're building a production agent system, handling this data securely is key. The tool helps structure it, but your guardrails handle the validation.

Absolutely. While it handles contacts, its core function allows parsing any raw text export—like Kindle clippings—and organizing that data into defined JSON structures.

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