vCard Contacts Parser Extended MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Parse Vcard Contacts

Name: vCard Contacts Parser Extended
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add vCard Contacts Parser Extended as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The vCard Contacts Parser Extended MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to vCard Contacts Parser Extended. "
            "You have 1 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in vCard Contacts Parser Extended?"
    )
    print(response)

asyncio.run(main())

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About vCard Contacts Parser Extended MCP Server

When you export your phone's address book, you get a massive .vcf file containing hundreds of contacts formatted in the legacy BEGIN:VCARD structure, often bloated with base64-encoded profile pictures. If you ask an LLM to read this raw file, it will exhaust its context window and hallucinate phone numbers and emails.

LlamaIndex agents combine vCard Contacts Parser Extended tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

This MCP is a dedicated contact intelligence engine. It runs 100% local on your machine, instantly stripping away the binary noise and converting the raw vCard format into a beautiful, easily queryable JSON array. The AI sees exactly what it needs: First Name, Last Name, Organization, Phone, and Email.

The Superpowers

100% Air-Gapped Privacy: Your personal phonebook never leaves your local machine.
Zero Hallucination: Perfect extraction of country codes, emails, and company roles.
Massive File Support: Can instantly process a VCF file containing 5,000+ contacts.
Assistant Ready: Ask your AI: 'Find the phone number for the CTO of Vinkius in my contacts.'

The vCard Contacts Parser Extended MCP Server exposes 1 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 vCard Contacts Parser Extended tools available for LlamaIndex

When LlamaIndex connects to vCard Contacts Parser Extended through Vinkius, your AI agent gets direct access to every tool listed below — spanning vcard, contact-management, data-parsing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

parse

Parse vcard contacts on vCard Contacts Parser Extended

Provide the absolute file path. Parse a .vcf (vCard) contact export file into structured JSON. Extracts names, phones, emails, and organization details

Connect vCard Contacts Parser Extended to LlamaIndex via MCP

Follow these steps to wire vCard Contacts Parser Extended into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from vCard Contacts Parser Extended

Why Use LlamaIndex with the vCard Contacts Parser Extended MCP Server

LlamaIndex provides unique advantages when paired with vCard Contacts Parser Extended through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine vCard Contacts Parser Extended tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain vCard Contacts Parser Extended tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query vCard Contacts Parser Extended, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what vCard Contacts Parser Extended tools were called, what data was returned, and how it influenced the final answer

vCard Contacts Parser Extended + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the vCard Contacts Parser Extended MCP Server delivers measurable value.

Hybrid search: combine vCard Contacts Parser Extended real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query vCard Contacts Parser Extended to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying vCard Contacts Parser Extended for fresh data

Analytical workflows: chain vCard Contacts Parser Extended queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for vCard Contacts Parser Extended in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with vCard Contacts Parser Extended immediately.

"Search my contacts.vcf and give me a list of everyone who works at 'Vinkius'."

"Extract all the email addresses from this vCard export and format them as a CSV."

"Look through my contacts and find the phone number for 'Plumber'."

Troubleshooting vCard Contacts Parser Extended MCP Server with LlamaIndex

Common issues when connecting vCard Contacts Parser Extended to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

vCard Contacts Parser Extended + LlamaIndex FAQ

Common questions about integrating vCard Contacts Parser Extended MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query vCard Contacts Parser Extended tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.