OpenAI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenAI through the 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="OpenAI Assistant",
instructions=(
"You help users interact with OpenAI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from OpenAI"
)
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 OpenAI MCP Server
Connect the OpenAI API to any AI agent and unlock the full power of GPT models as composable tools.
The OpenAI Agents SDK auto-discovers all 10 tools from OpenAI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries OpenAI, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Chat Completions — Generate responses from GPT-4o, GPT-4o-mini, and other models
- Image Generation — Create images with DALL-E 3 from text descriptions
- Embeddings — Convert text to vector representations for semantic search
- Content Moderation — Check text for policy violations automatically
- Fine-tuning — Create and monitor custom model training jobs
- File Management — List uploaded files for training and assistants
- Assistants — Browse configured OpenAI Assistants
- Structured Output — Generate structured JSON responses from prompts
The OpenAI MCP Server exposes 10 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 OpenAI to OpenAI Agents SDK via MCP
Follow these steps to integrate the OpenAI 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 10 tools from OpenAI
Why Use OpenAI Agents SDK with the OpenAI MCP Server
OpenAI Agents SDK provides unique advantages when paired with OpenAI 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
OpenAI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the OpenAI MCP Server delivers measurable value.
Automated workflows: build agents that query OpenAI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries OpenAI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through OpenAI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query OpenAI to resolve tickets, look up records, and update statuses without human intervention
OpenAI MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect OpenAI to OpenAI Agents SDK via MCP:
chat_completion
Specify model (gpt-4o, gpt-4o-mini, etc.) and messages array as JSON. Generate a chat completion using OpenAI models
create_embedding
Create text embeddings
create_fine_tune
Requires a previously uploaded JSONL training file ID. Create a fine-tuning job
generate_image
Returns the image URL. Generate an image with DALL-E 3
list_assistants
List OpenAI Assistants
list_files
List uploaded files
list_fine_tunes
List fine-tuning jobs
list_models
List available OpenAI models
moderate_content
Check content for policy violations
structured_output
Provide a system prompt and user message. Generate structured JSON output from a prompt
Example Prompts for OpenAI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenAI immediately.
"Ask GPT-4o to summarize this document in 3 bullet points."
"Generate an image of a futuristic cityscape at sunset."
"Check if this text violates content policies."
Troubleshooting OpenAI MCP Server with OpenAI Agents SDK
Common issues when connecting OpenAI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
OpenAI + OpenAI Agents SDK FAQ
Common questions about integrating OpenAI 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 OpenAI 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 OpenAI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
