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Clip API MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

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({
        "clip-api": {
            "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 Clip API, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Clip API
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* 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 Clip API MCP Server

Directly empower your intelligent agents with the Clip API, the undisputed champion of point-of-sale and card payment gateways across Mexico. Bypass clunky merchant dashboards by commanding 10 specialized financial tools built to execute transactions, force refunds, and reconcile bulk backend settlements securely through plain text.

LangChain's ecosystem of 500+ components combines seamlessly with Clip API through native MCP adapters. Connect 10 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

  • Payment Link Generation — Programmatically spin up highly secure payment links instantly firing off collection demands mapped directly to specific user workflows without manual UI clicks.
  • Transaction Auditing — Track pending authorizations scanning exact balances sniffing out potential fraud drops analyzing transaction statuses aggressively.
  • Automated Reconciliations — Pull bulk settlement reports extracting clean matrices charting precisely when cash pipelines hit your registered banks.
  • Inventory & Subscription — Manage deep catalog arrays syncing SKUs and dictating heavy recurring billing cycles charging Mexican cards passively.

The Clip API MCP Server exposes 10 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 Clip API to LangChain via MCP

Follow these steps to integrate the Clip API MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Clip API via MCP

Why Use LangChain with the Clip API MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Clip API MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Clip API queries for multi-turn workflows

Clip API + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Clip API MCP Tools for LangChain (10)

These 10 tools become available when you connect Clip API to LangChain via MCP:

01

add_product_to_catalog

Add a new item to the Clip Point of Sale catalog

02

cancel_payment_link

Void an active payment link

03

create_payment_link

Generate a Clip payment link to charge customers via card

04

create_subscription_plan

Build a recurring billing cycle charging clients periodically

05

get_balance_summary

Retrieve cash balance awaiting settlement

06

get_settlement_reports

Fetch detailed historical settlement reports

07

get_transaction_status

Retrieve the status of a payment transaction

08

list_products_catalog

Pull the complete inventory catalog registered in Clip

09

list_terminals

List all registered physical POS Clip terminals

10

refund_transaction

Omit amount for full refund. Execute a full or partial refund for a settled transaction

Example Prompts for Clip API in LangChain

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

01

"Generate a new custom MXN payment link exactly for 450.50 referenced as invoice #X-99T."

02

"Refund the latest transaction specifically identified as Txn_88Z to its origin card fully."

03

"Calculate my comprehensive real cash balance available anticipating the incoming bulk settlements today blindly."

Troubleshooting Clip API MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Clip API + LangChain FAQ

Common questions about integrating Clip API MCP Server with LangChain.

01

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.
02

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.
03

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.

Connect Clip API to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.