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PHC GO MCP Server for Pydantic AI 16 tools — connect in under 2 minutes

Built by Vinkius GDPR 16 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PHC GO through 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 PHC GO "
            "(16 tools)."
        ),
    )

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

asyncio.run(main())
PHC GO
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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 PHC GO MCP Server

Connect your PHC GO enterprise ecosystem to your AI agent and manage operations, invoicing, and logistics through natural language commands natively.

Pydantic AI validates every PHC GO tool response against typed schemas, catching data inconsistencies at build time. Connect 16 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.

What you can do

  • Entity Management — Retrieve master data such as list_customers and natively create_customer directly from your chat context.
  • Inventory & Logistics — Pull active article sheets with list_products, or audit material counts instantly using list_stocks and list_warehouses.
  • Billing & Finance — Dynamically execute the create_document endpoint to issue invoices/estimates, and reconcile using list_current_accounts and list_taxes.
  • Sales Ecosystem — Quickly fetch configuration records like list_series and list_payment_methods to standardize business logic via intelligent agents.

The PHC GO MCP Server exposes 16 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 PHC GO to Pydantic AI via MCP

Follow these steps to integrate the PHC GO 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 16 tools from PHC GO with type-safe schemas

Why Use Pydantic AI with the PHC GO MCP Server

Pydantic AI provides unique advantages when paired with PHC GO 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 PHC GO 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 PHC GO connection logic from agent behavior for testable, maintainable code

PHC GO + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

PHC GO MCP Tools for Pydantic AI (16)

These 16 tools become available when you connect PHC GO to Pydantic AI via MCP:

01

create_customer

Criar um novo cliente/entidade no PHC GO

02

create_document

Criar um novo documento comercial no PHC GO (fatura, orçamento, encomenda, etc)

03

create_product

Criar um novo artigo ou serviço no PHC GO

04

get_customer_details

Obter detalhes completos de um cliente/entidade pelo ID

05

get_document_details

Obter detalhes completos de um documento comercial (fatura, nota crédito, recibo, etc) incluindo linhas

06

get_product_details

Obter detalhes de um artigo/serviço pelo ID

07

list_current_accounts

Consultar a conta corrente de clientes (saldos e movimentos pendentes)

08

list_customers

Listar todas as entidades/clientes registados no PHC GO

09

list_documents

Listar documentos comerciais do PHC GO por tipo (FT=Fatura, NC=Nota Crédito, RC=Recibo, ORC=Orçamento, ECL=Encomenda, GR=Guia Remessa)

10

list_payment_methods

Listar métodos de pagamento configurados (Transferência, MB, MBWay, Cheque)

11

list_products

Listar todos os artigos e serviços registados no PHC GO

12

list_series

Listar séries de numeração de documentos (FT 2026/, NC 2026/, etc)

13

list_stocks

Consultar movimentos de stock. Opcionalmente filtrar por artigo

14

list_taxes

Listar taxas de IVA e impostos configurados no PHC GO

15

list_warehouses

Listar armazéns configurados para gestão de stock

16

search_customers

Pesquisar clientes por nome, NIF ou código

Example Prompts for PHC GO in Pydantic AI

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

01

"Check the available stock for 'Macbook Pro M3' across all warehouses."

02

"Create a new customer profile for 'Acme Corp' and fetch their assigned customer ID."

03

"Examine our outstanding current accounts from January to spot pending vendor debts."

Troubleshooting PHC GO MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

PHC GO + Pydantic AI FAQ

Common questions about integrating PHC GO 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 PHC GO MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect PHC GO to Pydantic AI

Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.