vCard Contacts Parser MCP Server for LlamaIndexGive LlamaIndex instant access to 1 tools to Parse Kindle Clippings
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add vCard Contacts Parser as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The vCard Contacts Parser MCP Server for LlamaIndex 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
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to vCard Contacts Parser. "
"You have 1 tools available."
),
)
response = await agent.run(
"What tools are available in vCard Contacts Parser?"
)
print(response)
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.
LlamaIndex agents combine vCard Contacts Parser tool responses with indexed documents for comprehensive, grounded answers. Connect 1 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire vCard Contacts Parser into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the vCard Contacts Parser MCP Server
LlamaIndex provides unique advantages when paired with vCard Contacts Parser through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine vCard Contacts Parser tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain vCard Contacts Parser tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query vCard Contacts Parser, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what vCard Contacts Parser tools were called, what data was returned, and how it influenced the final answer
vCard Contacts Parser + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the vCard Contacts Parser MCP Server delivers measurable value.
Hybrid search: combine vCard Contacts Parser real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query vCard Contacts Parser to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying vCard Contacts Parser for fresh data
Analytical workflows: chain vCard Contacts Parser queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for vCard Contacts Parser in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting vCard Contacts Parser to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpvCard Contacts Parser + LlamaIndex FAQ
Common questions about integrating vCard Contacts Parser MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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