Zip MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Zip through the 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"zip": {
"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 Zip, 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 Zip MCP Server
Connect your Zip (formerly Quadpay) merchant account to any AI agent to automate your Buy Now, Pay Later (BNPL) workflows. This MCP server enables your agent to initiate checkouts, manage order authorizations, and process captures or refunds directly from natural language interfaces.
LangChain's ecosystem of 500+ components combines seamlessly with Zip through native MCP adapters. Connect 8 tools via the 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
- Checkout Initiation — Create new checkout sessions and retrieve redirect URLs for customers
- Order Management — Authorize and confirm orders across US and Global gateway environments
- Payment Ingestion — Capture authorized funds once goods are shipped to finalize transactions
- Financial Resolution — Process full or partial refunds and void authorized but uncaptured payments
- Status Monitoring — Retrieve real-time status and lifecycle updates for any Zip order
- Account Insight — Access merchant configuration, currency limits, and account-level settings
The Zip MCP Server exposes 8 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 Zip to LangChain via MCP
Follow these steps to integrate the Zip 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 8 tools from Zip via MCP
Why Use LangChain with the Zip MCP Server
LangChain provides unique advantages when paired with Zip through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Zip 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 Zip queries for multi-turn workflows
Zip + LangChain Use Cases
Practical scenarios where LangChain combined with the Zip MCP Server delivers measurable value.
RAG with live data: combine Zip tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Zip, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Zip tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Zip tool call, measure latency, and optimize your agent's performance
Zip MCP Tools for LangChain (8)
These 8 tools become available when you connect Zip to LangChain via MCP:
authorize_zip_order
Typically used in US gateway integrations. Authorize a payment order
capture_zip_payment
Capture funds for an authorized order
confirm_zip_order
Finalize an authorized order
create_zip_checkout
Requires amount, currency, and redirect URLs. Initialize a new Zip checkout session
get_zip_merchant_config
Retrieve merchant account configuration
get_zip_order_status
g., Authorized, Captured, Cancelled) for a target order. Check the status of a Zip order
refund_zip_payment
Process a refund for an order
void_zip_payment
Void an authorized but uncaptured payment
Example Prompts for Zip in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Zip immediately.
"Create a Zip checkout for $100.00 USD."
"Check the status of Zip order ID '98765'."
"Capture payment for authorized order '98765'."
Troubleshooting Zip MCP Server with LangChain
Common issues when connecting Zip to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersZip + LangChain FAQ
Common questions about integrating Zip 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Zip with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Zip to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.