Bring Nfc Technology
to LangChain
Learn how to connect Cnnect to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Bearer Token from your Cnnect Business Portal (Settings > API)
3. Start managing your professional network from Claude, Cursor, or any MCP client
No more manual entry of paper business cards. Your AI acts as your dedicated networking associate and CRM ingestion coordinator.
Who is this for?
- Sales Professionals — instantly retrieve new leads captured during networking events using natural language commands
- Business Owners — monitor company-wide networking performance and manage member profiles without leaving your workspace
- Marketing Teams — track profile engagement and click-through rates across digital assets through simple AI queries
Built-in capabilities (12)
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
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine Cnnect MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Cnnect queries for multi-turn workflows
Cnnect in LangChain
Cnnect and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Cnnect to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cnnect in LangChain
The Cnnect 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Cnnect for LangChain
Every tool call from LangChain to the Cnnect MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Cnnect API Token?
Log in to the Cnnect Business Portal, navigate to Settings > API, and copy your unique Bearer Token.
Can I see real-time analytics for my card taps?
Yes! The get_analytics_summary tool retrieves the most current engagement data including total taps and new lead counts.
Can the agent update my LinkedIn link on the card?
Yes, using the update_profile tool, you can programmatically modify any of the social links or contact details on your digital business card.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
