How to Use the vCard Contacts Parser MCP in LangChain

Q: How do I use the vCard Contacts Parser with LangChain?

You call parsekindleclippings first to get structured JSON from your contacts. Then, you pass that resulting data object as input to a subsequent node in your chain. It keeps all your contact information clean and ready for action.

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Create your Vinkius account to connect vCard Contacts Parser to LangChain 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 LangChain

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Claude

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Parse contacts in a chain

The `parse_kindle_clippings` tool takes raw contact exports (like vCard files) and turns them into structured JSON. This means you can feed the parsed data directly into another step of your LangChain workflow. You'll use this output—the clean, usable contacts list—as input for a later agent action. It’s perfect for building multi-step pipelines where one tool prepares the data and the next tool acts on it.

Structured vCard Parsing

The `parse_kindle_clippings` function handles massive iPhone and Android `.vcf` exports. It doesn't just read them; it extracts highlights, notes, and bookmarks while grouping the data by source contact. Your agent can process hundreds of raw contacts quickly. The result is structured JSON that your LangChain application needs—no messy CSVs or hard-to-read text blocks.

Handling Raw Contact Data

When you run `parse_kindle_clippings`, the system processes raw vCard exports. It accurately separates names, phone numbers, and addresses into distinct fields within a JSON structure. This level of detail is crucial for reliable agentic workflows. You get clean data points that your next chain step can query or manipulate without getting tripped up by poorly formatted text.

Setup guide

Set up vCard Contacts Parser MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes vCard Contacts Parser tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "vcard-contacts-parser-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent vCard Contacts Parser transactions"
    })
    print(result["messages"][-1].content)

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Common questions about vCard Contacts Parser MCP in LangChain

You call `parse_kindle_clippings` first to get structured JSON from your contacts. Then, you pass that resulting data object as input to a subsequent node in your chain. It keeps all your contact information clean and ready for action.

Yep. The tool is designed to process massive iPhone and Android `.vcf` exports efficiently. You don't have to worry about data size; just pass the file path, and your agent handles the parsing.

It outputs structured JSON. This means every contact's name, phone number, and address are in specific, easy-to-use fields. Your AI client can read this structured data immediately.

Yes, you can aggregate results from multiple MCP Servers into a single chain. This lets your agent pull contact data not just from one source, but several different services at once.

This server handles raw contact information and exports, specifically touching structured JSON representations of contacts and addresses.

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