How to Use the vCard Contacts Parser MCP in AutoGen

Q: How do I use vCard Contacts Parser with AutoGen?

You initiate the process by calling parsekindleclippings to get structured JSON contacts. You then feed this initial data into your multi-agent system, letting agents debate and refine its meaning or categorization.

Q: Does AutoGen manage large vCard exports from the vCard Contacts Parser?

Yes. The tool supports handling massive iPhone and Android .vcf exports. Your agent framework can take that initial bulk data and subject it to rigorous, multi-agent validation.

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Setup vCard Contacts Parser with AutoGen

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Debate contact data structure

The `parse_kindle_clippings` tool takes raw contact exports (like vCard files) and converts them into structured JSON. You can then give this parsed output to multiple AutoGen agents to debate the optimal way to categorize or use that contact information. Agents can challenge each other's assumptions about data fields, converging on a highly reliable classification of your contacts.

Parse and validate vCard Exports

The `parse_kindle_clippings` function processes raw contact exports (massive iPhone/Android `.vcf`). A security agent can flag potentially incomplete fields, while a performance agent ensures the JSON structure is valid. This negotiation process improves data quality by forcing multiple perspectives onto the initial vCard Contacts Parser output.

Systematic contact data extraction

When you use `parse_kindle_clippings`, it extracts names, phone numbers, and addresses into clear JSON records. AutoGen agents can then review these records against a set of business rules. The resulting discussion isn't just an answer; it's a consensus decision on how to handle the contact data.

Setup guide

Set up vCard Contacts Parser MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes vCard Contacts Parser tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="vCard Contacts Parser_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent vCard Contacts Parser data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="vCard Contacts Parser_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent vCard Contacts Parser data")
    print(result.messages[-1].content)

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.

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Common questions about vCard Contacts Parser MCP in AutoGen

You initiate the process by calling `parse_kindle_clippings` to get structured JSON contacts. You then feed this initial data into your multi-agent system, letting agents debate and refine its meaning or categorization.

Yes. The tool supports handling massive iPhone and Android `.vcf` exports. Your agent framework can take that initial bulk data and subject it to rigorous, multi-agent validation.

It provides structured JSON records detailing names, phones, and addresses. These discrete facts allow your agents to argue about context—for example, deciding if a phone number is work or personal.

Absolutely. Because you're building an autonomous system, you can use agents to decide WHEN and HOW to call this server, alongside any others available on Vinkius.

This MCP Server handles raw contact information and exports, processing them into structured JSON representations of contacts and addresses.

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