Setel Malaysia MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Setel Malaysia through 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({
"setel-malaysia": {
"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 Setel Malaysia, 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 Setel Malaysia MCP Server
Connect your AI agents to Setel Malaysia, the first e-wallet for fuel, parking, and on-the-go payments in Malaysia. This MCP provides 11 tools to automate payment orchestration, manage real-time parking sessions, and monitor EV charging infrastructure directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Setel Malaysia through native MCP adapters. Connect 11 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 Intent Flow — Create, capture, and retrieve payment intents for secure transaction processing
- Parking Management — Start and monitor parking sessions for specific vehicle plates at automated or street locations
- EV Mobility — Find charging stations, start sessions, and end charging workflows programmatically
- Loyalty Integration — Check Mesra points balances for linked users to enhance customer engagement
- Merchant Visibility — Access account summaries and settlement data for business oversight
The Setel Malaysia MCP Server exposes 11 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 Setel Malaysia to LangChain via MCP
Follow these steps to integrate the Setel Malaysia 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 11 tools from Setel Malaysia via MCP
Why Use LangChain with the Setel Malaysia MCP Server
LangChain provides unique advantages when paired with Setel Malaysia through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Setel Malaysia 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 Setel Malaysia queries for multi-turn workflows
Setel Malaysia + LangChain Use Cases
Practical scenarios where LangChain combined with the Setel Malaysia MCP Server delivers measurable value.
RAG with live data: combine Setel Malaysia tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Setel Malaysia, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Setel Malaysia tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Setel Malaysia tool call, measure latency, and optimize your agent's performance
Setel Malaysia MCP Tools for LangChain (11)
These 11 tools become available when you connect Setel Malaysia to LangChain via MCP:
capture_payment
Capture an authorized payment
create_charging_session
Start an EV charging session
create_parking_session
Start a new parking session
create_payment_intent
Returns a paymentIntentId for authorization. Create a new payment intent for a transaction
end_charging_session
Stop an active EV charging session
get_merchant_summary
Get merchant account overview
get_mesra_points
Retrieve loyalty points for a user
get_parking_session
Retrieve details for an active or past parking session
get_payment_intent
Retrieve details for a specific payment intent
list_charging_locations
Find nearby EV charging stations
list_parking_history
List recent parking sessions
Example Prompts for Setel Malaysia in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Setel Malaysia immediately.
"Find all Setel-compatible EV charging locations near me."
"Check my Mesra points balance for user ID 'user_777'."
"Show the summary for my Setel merchant account."
Troubleshooting Setel Malaysia MCP Server with LangChain
Common issues when connecting Setel Malaysia to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSetel Malaysia + LangChain FAQ
Common questions about integrating Setel Malaysia 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 Setel Malaysia 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 Setel Malaysia to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
