How to Use the PHC GO MCP in Pydantic AI

Build type-safe billing agents that validate every PHC GO ERP response from our MCP Server at runtime using Pydantic AI.

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Connect PHC GO MCP to Pydantic AI

Create your Vinkius account to connect PHC GO to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PHC GO with Pydantic AI

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Type-safe ERP integration with Pydantic AI

Stop worrying about silent failures and corrupted data in your billing system. Pydantic AI validates every single response from this MCP Server against strict Python schemas before your agent even sees it. If `get_document_details` returns an unexpected field format, the runtime halts immediately. This strict validation prevents your agent from processing broken invoice lines or hallucinating tax calculations.

Safe write operations via verified schemas

Creating ERP records requires exact data structures. When your agent runs `create_document` or `create_customer`, Pydantic AI ensures the input matches the required fields before sending the API request. The framework checks that payment methods from `list_payment_methods` and tax codes from `list_taxes` are valid. This keeps your live ERP database clean and free of malformed records.

Model-agnostic MCP Server execution

Pydantic AI lets you swap your underlying LLM without rewriting your ERP integration. You can run cheap models for simple lookups like `list_warehouses` and switch to advanced models for complex tasks like `list_current_accounts`. The tool definitions remain consistent across all models. Your validation logic stays intact, ensuring reliable ERP updates whether you use OpenAI, Anthropic, or a local open-source model.

Setup guide

Set up PHC GO MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "phc-go-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to PHC GO tools.",
)

result = await agent.run("List recent PHC GO transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PHC GO. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about PHC GO MCP in Pydantic AI

Use the MCPToolset class with your Vinkius HTTP URL to load the server. Pass the toolset instance directly to your Agent constructor to give it access to tools like `list_products` and `search_customers`.

The framework will immediately raise a validation error at runtime. This prevents your agent from acting on corrupt data when querying tools like `get_product_details` or `list_stocks`.

Yes, you can chain tools to build safe workflows. Your agent can look up active series with `list_series` and then call `create_document` to generate invoices with fully validated parameters.

No, Vinkius hosts the server for you. You connect your Pydantic AI code directly to the hosted SSE or HTTP transport endpoint, removing the need to manage local server processes.

Your financial ledgers, customer accounts, and tax settings are accessed using secure, short-lived V8 isolates. Pydantic AI enforces type checks locally, ensuring sensitive financial data is never exposed to unauthorized external APIs.

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