How to Use the eGestor ERP MCP in Pydantic AI

Ensure type-safe, validated interactions between Pydantic AI and your eGestor ERP business data.

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Connect eGestor ERP MCP to Pydantic AI

Create your Vinkius account to connect eGestor ERP to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup eGestor ERP with Pydantic AI

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Perplexity

Type-safe eGestor ERP integration

Every response from your ERP is validated against Pydantic models. If `get_product` returns unexpected data, the agent stops immediately to prevent errors. This setup ensures your agent never works with corrupted or hallucinated fields. You get predictable, reliable behavior for every database query.

Validated financial data retrieval

Your agent pulls transaction data using `list_sales` and `list_purchases`. Each record is checked for type consistency before the agent processes it. This strict validation keeps your financial reporting clean. You avoid silent failures that usually plague agentic data processing.

Reliable contact and service management

The agent interacts with your contact and service records with total precision. It uses `get_contact` and `get_service` to fetch data that strictly matches your defined schemas. This ensures your agent can reliably update or reference customer information. You gain confidence that every action taken by the agent is based on verified data.

Setup guide

Set up eGestor ERP 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": {
        "egestor-erp-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent eGestor ERP transactions")
print(result.output)

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Common questions about eGestor ERP MCP in Pydantic AI

The framework automatically maps incoming JSON to your Pydantic models. If the schema doesn't match, the agent raises a validation error instead of processing bad data.

You define the expected schema for your tools, and the framework handles the rest. This ensures the data your agent uses is always in the correct format.

Yes, you can iterate through results safely. The framework validates every item in the list, ensuring that large-scale operations remain stable.

The server uses isolated memory for every request. No data is cached between sessions, and your credentials stay with your local environment.

You get complete transparency and error handling. You know exactly what data your agent is touching, and the framework prevents any ill-formatted data from reaching your logic.

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