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How to Use the Cnnect MCP in LlamaIndex

Index your physical NFC card scans and lead analytics directly into LlamaIndex vector stores.

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LlamaIndex

Connect Cnnect MCP to LlamaIndex

Create your Vinkius account to connect Cnnect to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Ground responses in real networking data

The `get_lead_details` tool retrieves deep contact profiles that your LlamaIndex RAG pipeline can index for future queries. Instead of guessing who you met at a conference, your LlamaIndex agent searches past interactions stored in your vector database. The MCP Server checks `list_leads` to build a clean, searchable LlamaIndex of your professional network.

Sync digital business profiles with LlamaIndex MCP Server

The `get_my_profile` tool feeds your current digital business card configuration into your LlamaIndex knowledge base. Your LlamaIndex agent uses this Cnnect data to answer questions about your active shared links and contact info. When you need to update your public details, the LlamaIndex agent uses `update_profile` to write changes back to the Cnnect server.

Track physical card engagement metrics

The `get_click_analytics` tool provides the raw traffic data your LlamaIndex agent needs to evaluate networking ROI. LlamaIndex indexes these Cnnect metrics to detect which physical cards drive the most digital traffic. You can query this LlamaIndex to compare team performance using `list_company_members`.

Setup guide

Set up Cnnect MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Cnnect MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Cnnect tools.",
)
response = await agent.run("List recent Cnnect data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cnnect. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Built-in savings

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cnnect MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the client with your Vinkius endpoint. Convert the tools to a list and pass them to your `FunctionAgent` to start indexing card data.
Yes. Your agent can pull leads using `list_leads`, vector-index the contact notes, and let you perform natural language queries over your entire network.
Yes, you can load physical card details using `get_card_details` as direct resources. This feeds raw NFC card configurations directly into your agent's context window.
Use `get_analytics_summary` to fetch high-level metrics across all cards. Your agent can index these summaries to track team-wide networking trends over time.
Vinkius processes all analytics data in a zero-trust, ephemeral environment. Your raw click metrics and card configuration details are never cached on our servers, ensuring your company's networking footprint remains confidential.

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