How do I get my OpenAI API Key?

Log in to the [**OpenAI Platform**](https://platform.openai.com/api-keys), go to **API Keys** in the left sidebar, click **Create new secret key**, give it a name and copy the key immediately — it starts with `sk-proj-` and won't be shown again.

Can I monitor my fine-tuning jobs?

Yes! Use `list_fine_tunes` to see all fine-tuning jobs with their status (validating_files, queued, running, succeeded, failed, cancelled). Use `get_fine_tune` with a specific job ID for detailed info including training progress, estimated finish time and result model ID. You can also cancel running jobs with `cancel_fine_tune`.

Can I manage batch processing jobs?

Yes! Use `list_batches` to see all batch jobs, `create_batch` to submit new batches with an input file ID and endpoint, `get_batch` to check progress and `cancel_batch` to stop running jobs. Batches process requests asynchronously at a lower cost than individual API calls.

Can I list and inspect my Assistants?

Yes! Use `list_assistants` to see all configured Assistants with their models, tools (code interpreter, file search, function calling) and instructions. Use `get_assistant` with a specific assistant ID for full details including file IDs and metadata.

OpenAI Alternative MCP Server for OpenAI Agents SDK 13 tools — connect in under 2 minutes

Name: OpenAI Alternative
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 13 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenAI Alternative through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Alternative Assistant",
            instructions=(
                "You help users interact with OpenAI Alternative. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OpenAI Alternative"
        )
        print(result.final_output)

asyncio.run(main())

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DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Alternative MCP Server

Connect your OpenAI account to any AI agent and take full control of your AI resources through natural conversation.

The OpenAI Agents SDK auto-discovers all 13 tools from OpenAI Alternative through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries OpenAI Alternative, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Model Discovery — List all available models (GPT-4, GPT-3.5, DALL-E, Whisper, Embeddings) with ownership and capability info
File Management — Browse, manage and delete uploaded files used for fine-tuning and Assistants
Fine-Tuning — Monitor fine-tuning jobs, check status (running, succeeded, failed) and cancel long-running jobs
Batch Processing — Create, track and cancel batch jobs for cost-effective bulk API processing
Assistant Management — List and inspect configured Assistants with their models, tools and instructions

The OpenAI Alternative MCP Server exposes 13 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 Alternative to OpenAI Agents SDK via MCP

Follow these steps to integrate the OpenAI Alternative 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 13 tools from OpenAI Alternative

Why Use OpenAI Agents SDK with the OpenAI Alternative MCP Server

OpenAI Agents SDK provides unique advantages when paired with OpenAI Alternative 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 Alternative + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OpenAI Alternative MCP Server delivers measurable value.

Automated workflows: build agents that query OpenAI Alternative, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries OpenAI Alternative, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through OpenAI Alternative tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query OpenAI Alternative to resolve tickets, look up records, and update statuses without human intervention

OpenAI Alternative MCP Tools for OpenAI Agents SDK (13)

These 13 tools become available when you connect OpenAI Alternative to OpenAI Agents SDK via MCP:

cancel_batch

Partially completed requests may still be processed. Provide the batch ID. Cancel a running batch job

cancel_fine_tune

The job status will change to "cancelled". Provide the fine-tune job ID. This is useful if you uploaded the wrong training file or want to stop a long-running job. Cancel a running fine-tuning job

create_batch

Requires the input file ID (containing JSONL requests) and the endpoint (e.g. "/v1/chat/completions"). Optionally set the completion window ("24h" default). Returns the batch with its ID for tracking. Create a new batch processing job

delete_file

Provide the file ID from list_files. WARNING: this action is irreversible and will break any fine-tunes or assistants using this file. Delete an uploaded file from OpenAI

get_assistant

Provide the assistant ID. Get details for a specific OpenAI Assistant

get_batch

Provide the batch ID. Get details for a specific batch job

get_fine_tune

Provide the fine-tune job ID. Get details for a specific fine-tuning job

get_model

g. "gpt-4o", "gpt-4o-mini", "text-embedding-3-small", "dall-e-3", "whisper-1"). Returns the model ID, owner organization, creation date and permission flags. Use this to verify a model exists and check its metadata before using it. Get details for a specific OpenAI model

list_assistants

Each Assistant shows its ID, name, instructions, model, tools (code interpreter, file search, function calling) and creation date. Use this to audit your Assistant configurations. List OpenAI Assistants

list_batches

Batches allow you to process many API requests at once at a lower cost. Each batch shows its ID, status (validating, in_progress, finalizing, completed, failed, expired, cancelled), input/output file IDs and request counts. List batch processing jobs

list_files

Files are used for fine-tuning, Assistants API and batch processing. Each file shows its ID, filename, purpose (fine-tune, assistants, batch), size and status. Optionally filter by purpose. List files uploaded to OpenAI

list_fine_tunes

Each job shows its ID, status (validating_files, queued, running, succeeded, failed, cancelled), base model, training file, created date and estimated finish time. Use this to monitor your fine-tuning pipeline. List fine-tuning jobs

list_models

5, DALL-E, Whisper, Embedding and fine-tuned models. Each model returns its ID, owned_by (organization), creation date and permissions. Use this to discover which models are available for your account and their capabilities. List all available OpenAI models

Example Prompts for OpenAI Alternative in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenAI Alternative immediately.

"Show me all available GPT models."

"Check the status of my latest fine-tuning job."

"List all my uploaded files and their purposes."

Troubleshooting OpenAI Alternative MCP Server with OpenAI Agents SDK

Common issues when connecting OpenAI Alternative to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OpenAI Alternative + OpenAI Agents SDK FAQ

Common questions about integrating OpenAI Alternative MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.