vcard-parser Connector for AI agents.
1 live capability
Turn your phone's contact list into a searchable local database.
Waiting for input…
Why people use vcard-parser
VCard Contacts Parser for Local Address Book Management
This Connector handles the heavy lifting for you. It strips out the junk and gives your AI a clean, organized list of names, numbers, and emails in seconds.
What Vinkius changes
You get a clean, searchable contact list without the mess of raw vCard files.
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 lead's phone number
A sales rep has a file of 5,000 leads and asks their agent to find the number for the CTO of a specific company.
- Real-world use case 02
Extracting all emails for a CSV
A user wants to grab every email address from a vCard export and have their agent format them into a clean CSV file.
- Real-world use case 03
Searching for company colleagues
A manager asks their agent to list everyone in their contacts who works at a specific organization.
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 kindle clippings
This capability parses your vCard files into a structured JSON format. It makes your contact list searchable for your AI client without needing to upload your data to the cloud.
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_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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": {
"url": "https://edge.vinkius.com/vk_preview_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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": {
"url": "https://edge.vinkius.com/vk_preview_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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": {
"url": "https://edge.vinkius.com/vk_preview_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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": {
"url": "https://edge.vinkius.com/vk_preview_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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 --transport http "https://edge.vinkius.com/vk_preview_UUVXVBrUXJKoPBhQl9ZiqadlLzKKax2Ki7xxjJ7w/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 with a massive personal network who needs to query their contacts using natural language without compromising their privacy.
Sales Representative
Search through thousands of leads to find specific phone numbers or company roles in seconds.
Freelancer
Manage a large client base and quickly find contact details for past projects.
Privacy-Conscious User
Keep your entire phonebook local while still giving your AI access to your personal network.
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.
Parsio
Extract structured data from emails and PDFs automatically with AI-powered parsing templates that learn from your documents.
Google Contacts
Manage your Google Contacts network seamlessly. list, search, create, and organize contacts and groups directly from any AI agent.
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 I use the vCard Contacts Parser with my existing iPhone contacts?
Yes. You just need to export your contacts as a .vcf file from your phone and point your AI client to that file.
Will my personal phonebook stay private with this Connector?
Yes. This Connector runs 100% locally on your machine. Your personal data is never sent to the cloud or shared with any third party.
Can it handle thousands of contacts at once?
Yes. It is designed to handle massive files with thousands of entries, making it much more efficient than pasting text into a chat.
Does it work with both Android and iPhone vCard files?
Yes. It supports the standard vCard structure used by both major mobile platforms.
How does this help my AI client find people faster?
By converting the file to a clean JSON array, your AI doesn't have to sift through binary noise or image data, which speeds up its response time.
Do I need to manually clean my vCard files first?
No. The Connector handles the cleaning for you by stripping out the unnecessary junk and base64 images automatically.
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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