Asaas MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Asaas through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Asaas "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Asaas?"
)
print(result.data)
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 Asaas MCP Server
The Asaas MCP Server provides a powerful natural language interface to your Asaas digital account. Specifically designed for Brazilian businesses, this integration allows your AI agent to manage your entire billing cycle, from customer registration to payment collection and financial transfers.
Pydantic AI validates every Asaas tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through 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.
Key Features
- Billing Management — Create and list payments via Boleto, Credit Card, and PIX with automated status tracking.
- Customer Inventory — Manage your customer base, including CPF/CNPJ verification and contact details synchronization.
- Subscription Automation — Monitor active recurring billings and subscription statuses for your clients.
- Financial Oversight — Check your account balance and track transfers in real-time.
- Workflow Integration — Seamlessly connect your payment operations with your AI-assisted support and sales processes.
- Secure API Access — Uses the Asaas
access_tokenfor authenticated communication and supports sandbox mode for safe testing.
The Asaas MCP Server exposes 8 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 Asaas to Pydantic AI via MCP
Follow these steps to integrate the Asaas 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 8 tools from Asaas with type-safe schemas
Why Use Pydantic AI with the Asaas MCP Server
Pydantic AI provides unique advantages when paired with Asaas 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 Asaas integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Asaas connection logic from agent behavior for testable, maintainable code
Asaas + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Asaas MCP Server delivers measurable value.
Type-safe data pipelines: query Asaas with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Asaas tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Asaas and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Asaas responses and write comprehensive agent tests
Asaas MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Asaas to Pydantic AI via MCP:
create_customer
Register a new customer in Asaas
create_payment
Create a new payment (charge) for a customer
get_account_check
Verify Asaas account connection
get_balance
Get current financial balance in Asaas
list_customers
List all registered customers in Asaas
list_payments
List all payments (charges)
list_subscriptions
List all active subscriptions
list_transfers
List all financial transfers
Example Prompts for Asaas in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Asaas immediately.
"Show me my current Asaas balance."
"List the last 5 payments received."
"Create a PIX charge of R$ 100 for customer 'cus_12345' due tomorrow."
Troubleshooting Asaas MCP Server with Pydantic AI
Common issues when connecting Asaas to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAsaas + Pydantic AI FAQ
Common questions about integrating Asaas MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Asaas 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 Asaas to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.