4D MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 4D through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="4D Assistant",
instructions=(
"You help users interact with 4D. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from 4D"
)
print(result.final_output)
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 4D MCP Server
Bridge your 4D Server with the world of AI Agents through the power of ORDA (Object Relational Data Architecture). This integration transforms your 4D database into an intelligent, queryable knowledge base, allowing your AI agent to explore structures and manage records through natural conversation. No more manual REST calls; your agent can now audit catalogs, run complex entity queries, and perform high-speed CRUD operations, ensuring your 4D data is always accessible and actionable within your AI workflows.
The OpenAI Agents SDK auto-discovers all 6 tools from 4D through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 4D, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Database Exploration — Retrieve the full catalog of DataClasses (tables) and their attribute definitions (fields) to map your data structure.
- Advanced Querying — Perform complex data lookups using filters, ordering, and expansion of related entities with ORDA syntax.
- CRUD Operations — Create, read, update, and delete records across any exposed DataClass in your 4D environment.
- Metadata Insights — Check server information, version, and database structure on the fly to ensure system integrity.
- Structured Access — Interact with your data using the modern ORDA model, ensuring consistency, type safety, and security.
The 4D MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 4D to OpenAI Agents SDK via MCP
Follow these steps to integrate the 4D MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from 4D
Why Use OpenAI Agents SDK with the 4D MCP Server
OpenAI Agents SDK provides unique advantages when paired with 4D through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
4D + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the 4D MCP Server delivers measurable value.
Automated workflows: build agents that query 4D, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries 4D, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through 4D tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query 4D to resolve tickets, look up records, and update statuses without human intervention
4D MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect 4D to OpenAI Agents SDK via MCP:
create_entity
Requires a JSON string representation of the data payload. Create a new record in the database
delete_entity
Delete a record from the database
get_catalog
Retrieve the database catalog definition
get_entity
Get a specific record by primary key
list_entities
Supports ORDA-style query parameters like $filter and $orderby for advanced lookups. Query records from a specific DataClass (table)
update_entity
Requires a JSON string payload. Update an existing record in the database
Example Prompts for 4D in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 4D immediately.
"Show me the first 5 records from the 'Invoices' table."
"What tables (DataClasses) are exposed in my 4D catalog?"
"Create a new record in the 'Customers' table for 'John Doe' with email 'john@example.com'."
Troubleshooting 4D MCP Server with OpenAI Agents SDK
Common issues when connecting 4D to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
4D + OpenAI Agents SDK FAQ
Common questions about integrating 4D MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect 4D 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 4D to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.