vCard Contacts Parser MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Parse Kindle Clippings
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect vCard Contacts Parser through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The vCard Contacts Parser MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="vCard Contacts Parser Assistant",
instructions=(
"You help users interact with vCard Contacts Parser. "
"You have access to 1 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from vCard Contacts Parser"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About vCard Contacts Parser 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.
The OpenAI Agents SDK auto-discovers all 1 tools from vCard Contacts Parser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries vCard Contacts Parser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to vCard Contacts Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning vcard, contact-parsing, data-extraction, 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 kindle clippings on vCard Contacts Parser
Paste the raw text content from the "My Clippings.txt" file found on a Kindle device. Parse Amazon Kindle "My Clippings.txt" exports into structured JSON. Extracts highlights, notes, and bookmarks grouped by book
Connect vCard Contacts Parser to OpenAI Agents SDK via MCP
Follow these steps to wire vCard Contacts Parser into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the vCard Contacts Parser MCP Server
OpenAI Agents SDK provides unique advantages when paired with vCard Contacts Parser through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
vCard Contacts Parser + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the vCard Contacts Parser MCP Server delivers measurable value.
Automated workflows: build agents that query vCard Contacts Parser, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries vCard Contacts Parser, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through vCard Contacts Parser tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query vCard Contacts Parser to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for vCard Contacts Parser in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with vCard Contacts Parser 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 MCP Server with OpenAI Agents SDK
Common issues when connecting vCard Contacts Parser to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
vCard Contacts Parser + OpenAI Agents SDK FAQ
Common questions about integrating vCard Contacts Parser MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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