Cnnect MCP Server for LangChainGive LangChain instant access to 12 tools to Create Lead, Get Account Settings, Get Analytics Summary, and more
LangChain is the leading Python framework for composable LLM applications. Connect Cnnect through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Cnnect app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"cnnect": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Cnnect, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Cnnect MCP Server
Connect your Cnnect.nl NFC business card account to any AI agent and take full control of your professional networking and lead generation workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Cnnect through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Digital Profile Orchestration — Retrieve and update your digital business card contact details, branding, and social links to maintain a high-fidelity professional identity
- Lead Generation Intelligence — List and manage leads captured programmatically via your physical NFC cards or digital profile visits to streamline your sales pipeline
- NFC Asset Management — Access your directory of physical NFC cards and monitor their individual status and usage metadata directly through your agent
- Networking Analytics — Access comprehensive usage summaries and detailed click analytics to understand how your profile is being engaged with in real-time
- Team Visibility — Retrieve directories of company members and monitor account-level settings to perfectly coordinate organization-wide digital networking
The Cnnect MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Cnnect tools available for LangChain
When LangChain connects to Cnnect through Vinkius, your AI agent gets direct access to every tool listed below — spanning nfc-technology, digital-business-card, contact-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Manually create a new lead
Get Cnnect account settings
Get overall usage analytics
Get details for a specific NFC card
Get detailed click analytics
Get details for a specific lead
Get your Cnnect profile data
List company team members
List leads captured via your card
List your physical NFC cards
List lead tags
Update your digital business card profile
Connect Cnnect to LangChain via MCP
Follow these steps to wire Cnnect into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Cnnect MCP Server
LangChain provides unique advantages when paired with Cnnect through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Cnnect MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Cnnect queries for multi-turn workflows
Cnnect + LangChain Use Cases
Practical scenarios where LangChain combined with the Cnnect MCP Server delivers measurable value.
RAG with live data: combine Cnnect tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Cnnect, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Cnnect tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Cnnect tool call, measure latency, and optimize your agent's performance
Example Prompts for Cnnect in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Cnnect immediately.
"Show me my digital business card profile and social links."
"List the last 5 leads captured via my NFC card."
"What is my overall networking performance for this month?"
Troubleshooting Cnnect MCP Server with LangChain
Common issues when connecting Cnnect to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCnnect + LangChain FAQ
Common questions about integrating Cnnect MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.