How to Use the Zip MCP in LangChain
Build complex financial logic with LangChain and MCP Server integrations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zip MCP to LangChain
Create your Vinkius account to connect Zip 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.
Multi-Step Payment Chains for LangChain
The `create_zip_checkout` tool initializes a payment session, giving you the necessary context (amount, currency) to proceed. You can then chain this into subsequent actions, like calling `authorize_zip_order` to lock funds. This lets your agent execute full transaction workflows: check out, authorize, and finally confirm payments automatically.
Managing Payment Statuses with LangChain
`get_zip_order_status` checks the current state of any Zip order—whether it's 'Authorized,' 'Captured,' or 'Cancelled.' Your agent reads this status, determining if further action is required. If an order needs fixing, you can then call `refund_zip_payment` or `void_zip_payment`, making sure the sequence of events is correct.
Advanced Order Handling via MCP Server
Need to start a complex payment flow? Use `get_zip_merchant_config` first. This tool pulls your specific account details, ensuring the rest of the process is routed correctly. After configuration, you can use `confirm_zip_order` to finalize any transaction that passed authorization and capture steps.
Set up Zip MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 Zip tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"zip-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 Zip transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zip. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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place for every integration
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Common questions about Zip MCP in LangChain
Use it with your favorite AI tools
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Start using the Zip MCP today
We host it, we monitor it, we maintain it. You just paste one token.