How to Use the Cnnect MCP in LangChain

Q: How do I connect Cnnect to my LangChain agent?

Install the langchain-mcp-adapters package and use the MultiServerMCPClient to load this MCP Server directly. This exposes all twelve networking tools to your agent's tool-calling loop.

Q: Can I chain Cnnect tools with other LangChain integrations?

Yes, you can feed the output of listleads directly into a database or CRM integration within the same chain. The framework manages the state transition between your digital card data and external APIs.

Q: How do I handle multiple business card profiles?

Use updateprofile to modify specific digital cards. Your agent can check active configurations using getmyprofile and make targeted updates based on the event context.

Feed real-time NFC card scans and lead profiles directly into your LangChain reasoning loops.

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Connect Cnnect MCP to LangChain

Create your Vinkius account to connect Cnnect to LangChain 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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Setup Cnnect with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate lead triage in LangChain

The `list_leads` tool pulls raw contact data captured from your physical NFC cards straight into your active LangChain agent memory. Because this MCP Server tracks every call through LangSmith, you can monitor the latency of every Cnnect card lookup in real time. You can chain this with `create_lead` to instantly register new Cnnect prospects during a live event.

Sync team directories using this MCP Server

The `list_company_members` tool exposes your entire corporate roster to your multi-step LangChain pipelines. By scanning your directory, your LangChain agent inspects who is on the team and matches new Cnnect leads to the correct account manager. It uses `get_account_settings` to verify team permissions before assigning Cnnect leads to LangChain chains.

Analyze physical card performance

The `get_click_analytics` tool provides raw engagement metrics for every digital business card your team hands out to feed your LangChain reporting chains. Your pipeline pulls these Cnnect numbers to build instant performance reports. By feeding this data into a LangChain agent, you can automatically flag underperforming Cnnect cards using `get_card_details`.

Setup guide

Set up Cnnect MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Cnnect tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "cnnect-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Cnnect transactions"
    })
    print(result["messages"][-1].content)

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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.

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Common questions about Cnnect MCP in LangChain

Install the `langchain-mcp-adapters` package and use the MultiServerMCPClient to load this MCP Server directly. This exposes all twelve networking tools to your agent's tool-calling loop.

Yes, you can feed the output of `list_leads` directly into a database or CRM integration within the same chain. The framework manages the state transition between your digital card data and external APIs.

Yes, every single tool call is fully observable. You can trace inputs and outputs for operations like `get_analytics_summary` to see exactly how your agent queries your networking data.

Use `update_profile` to modify specific digital cards. Your agent can check active configurations using `get_my_profile` and make targeted updates based on the event context.

Vinkius runs this connector in an isolated sandbox where lead details retrieved by `get_lead_details` are never stored permanently. Your digital profile settings and contact lists remain private, passing only through ephemeral sessions to your local runtime.

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