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Setel Malaysia MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Setel Malaysia through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Setel Malaysia "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Setel Malaysia?"
    )
    print(result.data)

asyncio.run(main())
Setel Malaysia
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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 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.

Pydantic AI validates every Setel Malaysia tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Setel Malaysia MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 11 tools from Setel Malaysia with type-safe schemas

Why Use Pydantic AI with the Setel Malaysia MCP Server

Pydantic AI provides unique advantages when paired with Setel Malaysia through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Setel Malaysia integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Setel Malaysia connection logic from agent behavior for testable, maintainable code

Setel Malaysia + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Setel Malaysia MCP Server delivers measurable value.

01

Type-safe data pipelines: query Setel Malaysia with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Setel Malaysia tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Setel Malaysia and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Setel Malaysia responses and write comprehensive agent tests

Setel Malaysia MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Setel Malaysia to Pydantic AI via MCP:

01

capture_payment

Capture an authorized payment

02

create_charging_session

Start an EV charging session

03

create_parking_session

Start a new parking session

04

create_payment_intent

Returns a paymentIntentId for authorization. Create a new payment intent for a transaction

05

end_charging_session

Stop an active EV charging session

06

get_merchant_summary

Get merchant account overview

07

get_mesra_points

Retrieve loyalty points for a user

08

get_parking_session

Retrieve details for an active or past parking session

09

get_payment_intent

Retrieve details for a specific payment intent

10

list_charging_locations

Find nearby EV charging stations

11

list_parking_history

List recent parking sessions

Example Prompts for Setel Malaysia in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Setel Malaysia immediately.

01

"Find all Setel-compatible EV charging locations near me."

02

"Check my Mesra points balance for user ID 'user_777'."

03

"Show the summary for my Setel merchant account."

Troubleshooting Setel Malaysia MCP Server with Pydantic AI

Common issues when connecting Setel Malaysia to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Setel Malaysia + Pydantic AI FAQ

Common questions about integrating Setel Malaysia MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Setel Malaysia MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Setel Malaysia to Pydantic AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.