How to Use the vCard Contacts Parser Extended MCP in CrewAI

Q: What kind of data does vCard Contacts Parser Extended touch?

This server is dedicated to Contact information. It reads .vcf files and structures key details like names, emails, phone numbers, and organizational affiliations into JSON format.

Q: What file types can the vCard Contacts Parser Extended handle?

It's built to process standard .vcf (vCard) contact export files, whether they originated from iPhone or Android devices.

Autonomous Ops: vCard Contacts Parser Extended for CrewAI Multi-Agent Teams.

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Connect vCard Contacts Parser Extended MCP to CrewAI

Create your Vinkius account to connect vCard Contacts Parser Extended to CrewAI 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 Extended with CrewAI

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Running Contact Parsing in Autonomous Crews

You can assign the `parse_vcard_contacts` tool to a specialized agent within your crew. That agent handles the task of taking a `.vcf` file path and generating structured JSON data. This allows the entire autonomous operation—research, analyze, act—to have access to reliable contact information without human intervention.

MCP Server: Extracting Contact Details for CrewAI

The `parse_vcard_contacts` tool is designed to convert massive vCard exports into clean JSON. It reliably extracts names, emails, phones, and organization details from the file. This structured output becomes shared memory among your specialized agents, letting them collaborate effectively on contact-based tasks.

Integrating Contact Parsing into Agent Pipelines

By using this tool in a pipeline, you ensure that one agent gathers raw data (the file path), the next agent runs `parse_vcard_contacts`, and the final agent acts on the structured output. It's sequential execution at its best. This makes building complex monitoring and escalation systems straightforward.

Setup guide

Set up vCard Contacts Parser Extended MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke vCard Contacts Parser Extended tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="vCard Contacts Parser Extended Analyst",
    goal="Access and analyze vCard Contacts Parser Extended data via MCP.",
    backstory="Expert analyst with direct vCard Contacts Parser Extended access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent vCard Contacts Parser Extended transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="vCard Contacts Parser Extended Analyst",
        goal="Access and analyze vCard Contacts Parser Extended data via MCP.",
        backstory="Expert analyst with direct vCard Contacts Parser Extended access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent vCard Contacts Parser Extended transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Extended MCP in CrewAI

You expose the tool to a specialized agent. That agent uses `parse_vcard_contacts` with the file path, and it returns structured JSON data that the rest of your crew can then analyze or act upon.

This server is dedicated to Contact information. It reads `.vcf` files and structures key details like names, emails, phone numbers, and organizational affiliations into JSON format.

Yes. You define a role-based workflow where one agent calls `parse_vcard_contacts`. The resulting structured data is then passed to subsequent agents for analysis or action.

It's built to process standard `.vcf` (vCard) contact export files, whether they originated from iPhone or Android devices.

The server touches Contact information. It processes the raw file path and outputs structured JSON records containing names, emails, phone numbers, and organizational details.

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