vCard Contacts Parser

vCard Contacts Parser MCP Connector for Claude

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Instantly convert massive iPhone and Android `.vcf` contact exports into structured JSON. Turn your AI into a hyper-intelligent local address book.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner

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.

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.'
vcardcontact-managementdata-parsingjson-conversionaddress-bookfile-processing

1 tools expose this connector's capabilities to your AI agent.

parse_vcard_contacts

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

See how to talk to your AI agent using vCard Contacts Parser.

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

I found 3 contacts working at Vinkius: John Silva (DevOps), Sarah Connor (Design), and Mike Ross (Legal).

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

Name,Email Alice Smith,alice@example.com Bob Jones,bob@example.org

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

The phone number saved under 'Plumber' is +1 (555) 019-8372.

Never. The vCard parsing is executed completely local on your device. Only the extracted text representation is provided to the AI context.

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