vcard-parser Connector for AI agents.
1 live capability
Turn messy phone exports into a queryable address book.
Waiting for input…
Why people use vcard-parser
VCard Contacts Parser for Local Address Book Management
This Connector fixes that by acting as a local intelligence engine. It strips away the junk and turns the raw data into a clean JSON array that your AI client can actually understand. You get a reliable way to ask your agent for specific details, like finding a colleague's office number or a friend's email, without ever uploading your private contact list to a third-party cloud.
What Vinkius changes
Your AI gets a clean, searchable version of your phonebook without the technical overhead.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding a specific person
An executive assistant asks the agent to find the phone number for the 'Plumber' in their contacts.
- Real-world use case 02
Bulk email extraction
A marketer wants to pull all email addresses from a 2,000-person vCard export to create a mailing list.
- Real-world use case 03
Organization filtering
A recruiter asks the agent to list everyone in their phonebook who works for 'Vinkius'.
Complete set · 1capability
The complete vcard-parser capability set.
These are the exact actions your AI can choose when you ask it to work with vcard-parser.
01
1 capability in this set.
Part of 1 available through vcard-parser.
- 01 Capability
Parse vcard contacts
Provide a file path to convert a vCard export into a structured JSON array. This lets your AI client query names, phones, and emails without getting bogged down by image data.
Set up in minutes
One URL. Then ask vcard-parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use vcard-parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it vcard-parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable vcard-parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the vcard-parser URL.
- Step 03
Save and start
Save the connection and enable vcard-parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"vcard-contacts-parser-extended": {
"url": "https://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using vcard-parser
Open Agent mode in chat and ask: "Using vcard-parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"vcard-contacts-parser-extended": {
"url": "https://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using vcard-parser
Ask Copilot: "Using vcard-parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"vcard-contacts-parser-extended": {
"url": "https://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using vcard-parser
Open Cascade and ask: "Using vcard-parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"vcard-contacts-parser-extended": {
"url": "https://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using vcard-parser
Ask Cline: "Using vcard-parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add vcard-contacts-parser-extended --transport http "https://edge.vinkius.com/vk_preview_nMwIDpe8t4IiDDLs4hL1zHyXkLRrKAbAmIxeZbyH/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using vcard-parser
Ask Claude: "Using vcard-parser, show me...". 1 tools are ready
Where the request belongs
Work vcard-parser can move forward.
This is for anyone who has a huge list of contacts and wants their AI to know who they are without compromising privacy or hitting context limits.
Executive Assistant
Finds specific vendor numbers or personal contact details in a list of thousands.
Data Analyst
Turns messy phone exports into clean CSVs or lists of emails for marketing use.
Privacy Advocate
Queries local contacts without using any cloud-based CRM or third-party syncing.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsvCard Contacts Parser
Instantly convert massive iPhone and Android `.vcf` contact exports into structured JSON. Turn your AI into a hyper-intelligent local address book.
Sansan
Digitize and manage business cards via AI. browse contacts, verify details, and explore your company's network effortlessly.
Parseur
Automate document processing via Parseur. list mailboxes, upload PDFs/Emails, extract structured data pipelines, and trigger template logic natively.
CSV <-> JSON Converter
Flawless data translation. Convert massive CSV files to JSON and back instantly without LLM hallucination or dropped quotes.
Google Contacts
Manage your Google Contacts network seamlessly. list, search, create, and organize contacts and groups directly from any AI agent.
Parsio
Extract structured data from emails and PDFs automatically with AI-powered parsing templates that learn from your documents.
Bring your own AI
Change the model, client or framework. Keep vcard-parser connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about vcard-parser.
The practical details behind the request, access and result.
Can the vCard Contacts Parser handle my whole phone book?
Yes, it can process files with over 5,000 contacts at once. This means you don't have to split your exports into smaller chunks to get your AI to see them.
Does vCard Contacts Parser upload my contacts to the cloud?
No, it runs 100% locally on your machine. Your personal data stays on your hardware, which is a huge win for privacy.
What kind of files does vCard Contacts Parser work with?
It specifically parses .vcf files, which are the standard exports for iPhone and Android contact lists.
Can I use vCard Contacts Parser to find a specific person's number?
Yes, once the file is parsed, you can just ask your agent to find a specific name or company. It will search the structured data and give you the result.
Will vCard Contacts Parser make my AI hallucinate less?
Yes, because it strips out the messy binary noise and base64 images that usually confuse AI models. It only gives the AI the clean text it needs.
Does vCard Contacts Parser work with Claude or Cursor?
It works with any MCP-compatible client, including Claude, Cursor, and Windsurf. You just connect it through the Vinkius catalog.
Is my address book uploaded to the cloud?
Never. The vCard parsing is executed completely local on your device. Only the extracted text representation is provided to the AI context.
Does it support multiple contacts in a single file?
Yes! It perfectly parses multi-vCard files exported from iOS, Google Contacts, or Android devices, handling thousands of entries seamlessly.
What happens to the contact profile pictures?
Profile pictures (PHOTO;ENCODING=b) are intentionally ignored and stripped during parsing to preserve AI context tokens and prevent crashes.
One connection away
Give your agent a direct line to vcard-parser.
Connect vcard-parser once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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