How to Use the 4D MCP in OpenAI Agents SDK

Connect your 4D database directly to the OpenAI Agents SDK for production-ready, traced database operations.

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Connect 4D MCP to OpenAI Agents SDK

Create your Vinkius account to connect 4D to OpenAI Agents SDK 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 4D with OpenAI Agents SDK

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Auto-discover 4D schemas with this MCP Server

The `get_catalog` tool fetches the exact schema definition directly into your OpenAI agent's context. This happens automatically when you pass the server to your constructor, giving the LLM immediate awareness of available DataClasses. Guardrails built into the SDK ensure your agent actually verifies table structures before attempting inserts. When a specialized agent needs to add a record, it formats a JSON payload for `create_entity` and the framework validates the action against your safety constraints. Tracing in the OpenAI dashboard shows you exactly which tables the agent accessed.

Query ORDA endpoints with natural language

The `list_entities` tool handles the translation of ORDA-style query parameters like $filter and $orderby. Your OpenAI Agents SDK setup converts natural language into precise 4D lookups instantly. You get filtered database records back as structured context. Handoffs between specialized agents work perfectly here. A research agent can run `get_entity` to pull a specific primary key, then pass that exact record to a reporting agent. Building complex data extraction pipelines takes zero custom REST wrappers when using this MCP integration.

Execute database mutations safely

The `update_entity` tool requires a strictly formatted JSON payload to modify existing records. Your OpenAI agent constructs this payload based on user intent and pushes the changes back to your 4D backend. The SDK's built-in tracing logs the exact JSON sent to the API. Deletions demand strict oversight in production environments. Calling `delete_entity` triggers a direct removal of a record from the database. Because you define safety boundaries in the OpenAI framework, you control exactly which agents have permission to wipe data.

Setup guide

Set up 4D MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all 4D tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives 4D tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate 4D tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="4D Agent",
            instructions="You have access to 4D tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about 4D MCP in OpenAI Agents SDK

You initialize MCPServerStreamableHttp with your Vinkius endpoint. Pass that instance to the mcp_servers array in your Agent constructor. The SDK automatically discovers the database tools.

Yes, setting cacheToolsList=True prevents the agent from pulling the database schema on every turn. This drastically reduces latency when the agent runs multiple queries in a row.

The OpenAI dashboard logs every single tool call. You see the exact JSON payloads sent to the creation and update endpoints, along with the latency of the API response.

You assign the Vinkius endpoint only to specific specialized agents. A read-only agent gets an MCP connection filtered down to just the catalog and list tools, while a separate admin agent handles mutations.

Vinkius runs the connection inside a V8 Isolate Sandbox that destroys itself after the session ends. Your primary keys, ORDA queries, and JSON payloads never persist on our infrastructure. Auth requires just one ephemeral endpoint token.

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