Can I check if a specific bill has been paid?

Yes! Use the `get_bill` tool with the Bill ID. Your agent will fetch the latest status, including whether it is 'paid' or 'due'.

How do I create a new payment collection?

Simply ask the agent to `create_collection` and provide a title. It will create the collection in your Billplz account and return the new Collection ID.

Can I see the list of FPX banks supported for online banking?

Yes. Use the `get_fpx_banks` tool to retrieve a real-time list of all banks currently supported by the Billplz FPX gateway.

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

Name: Billplz
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Billplz "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())

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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 Billplz MCP Server

Connect your Billplz account to any AI agent and orchestrate your payment workflows through natural conversation.

Pydantic AI validates every Billplz 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

Collection Management — List, create, and inspect collections to organize your bills.
Bill Creation & Tracking — Query, create, and delete individual bills and track payment statuses.
Transaction Oversight — Retrieve detailed transactions for specific bills to reconcile payments.
Bank Account Auditing — Check bank account details attached to collections.
FPX Insights — List available FPX banks supported by the platform.

The Billplz 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 Billplz to Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 11 tools from Billplz with type-safe schemas

Why Use Pydantic AI with the Billplz MCP Server

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

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

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

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

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

Billplz + Pydantic AI Use Cases

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

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

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

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

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

Billplz MCP Tools for Pydantic AI (11)

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

activate_collection

Activate a collection

create_bill

Create a new bill for collection

create_collection

Create a new bill collection

deactivate_collection

Deactivate a collection

delete_bill

Delete an unpaid bill

get_bank_account

Get bank account details for a collection

get_bill

Get specific bill details

get_collection

Get specific collection details

get_fpx_banks

List supported FPX Banks

list_collections

List all bill collections

list_transactions

List transactions for a specific bill

Example Prompts for Billplz in Pydantic AI

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

"List all active collections."

"Show the status of bill bill_99283."

"List the last 5 transactions for bill_99283."

Troubleshooting Billplz MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Billplz + Pydantic AI FAQ

Common questions about integrating Billplz MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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