Can I see a preview of the card before sending it?

Yes! Use the `preview_greeting_card` tool with your message and artwork ID. Your agent will return a preview URL (usually a PDF) so you can verify everything looks perfect.

How do I find the correct artwork ID for a design?

Simply ask the agent to `list_card_artwork`. It will retrieve all the available designs from your account, including their titles and unique IDs or slugs.

Does the integration support international shipping?

Yes. When using the `place_greeting_card_order` action, you can specify the country code (e.g., 'UK', 'AU', 'US'). Cardly handles the local printing and postage automatically.

Cardly MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Cardly
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Cardly through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "cardly": {
            "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 Cardly, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cardly MCP Server

Connect your Cardly account to any AI agent and orchestrate your personalized gifting, customer appreciation, and physical mail workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Cardly through native MCP adapters. Connect 9 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

Order Management — Place real orders for physical greeting cards with custom messages and designs directly from your workspace.
Design Oversight — Browse your custom artwork library and retrieve detailed metadata for individual designs.
Order Preview — Generate a watermarked PDF preview of your card to verify content and layout before sending.
Contact Coordination — Access and manage your contact lists and add new recipients to your address book.
Global Shipping — Send cards to recipients in the US, Australia, UK, and worldwide with automatic address validation.
API Verification — Verify your connection and API key status instantly using the echo tool.

The Cardly MCP Server exposes 9 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.

How to Connect Cardly to LangChain via MCP

Follow these steps to integrate the Cardly MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Cardly via MCP

Why Use LangChain with the Cardly MCP Server

LangChain provides unique advantages when paired with Cardly through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Cardly 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 Cardly queries for multi-turn workflows

Cardly + LangChain Use Cases

Practical scenarios where LangChain combined with the Cardly MCP Server delivers measurable value.

RAG with live data: combine Cardly tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Cardly, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Cardly tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Cardly tool call, measure latency, and optimize your agent's performance

Cardly MCP Tools for LangChain (9)

These 9 tools become available when you connect Cardly to LangChain via MCP:

add_contact_to_list

Add a new contact to a specific list

find_contact

Search for a contact in a list by email

get_account_info

Retrieve core account information

get_artwork_details

Get details of a specific piece of artwork

list_card_artwork

List available greeting card designs/artwork

list_contact_lists

List all contact lists in your account

place_greeting_card_order

Place a real order for a physical greeting card

preview_greeting_card

Generate a preview of a greeting card without placing a real order

verify_api_connection

Verify connectivity and API key validity

Example Prompts for Cardly in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Cardly immediately.

"List all the available greeting card designs in my account."

"Preview a card with artwork art_1 and message 'Happy Birthday John!'."

"Send a thank you card to Jane Smith in Australia."

Troubleshooting Cardly MCP Server with LangChain

Common issues when connecting Cardly to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Cardly + LangChain FAQ

Common questions about integrating Cardly MCP Server with LangChain.

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.