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 Google ADK 13 tools — connect in under 2 minutes

Name: OpenAI Alternative
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 13 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add OpenAI Alternative as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="openai_alternative_agent",
    instruction=(
        "You help users interact with OpenAI Alternative "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

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.

Google ADK natively supports OpenAI Alternative as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the OpenAI Alternative MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 13 tools from OpenAI Alternative via MCP

Why Use Google ADK with the OpenAI Alternative MCP Server

Google ADK provides unique advantages when paired with OpenAI Alternative through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with OpenAI Alternative

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine OpenAI Alternative tools with BigQuery, Vertex AI, and Cloud Functions

OpenAI Alternative + Google ADK Use Cases

Practical scenarios where Google ADK combined with the OpenAI Alternative MCP Server delivers measurable value.

Enterprise data agents: ADK agents query OpenAI Alternative and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine OpenAI Alternative tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query OpenAI Alternative regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including OpenAI Alternative

OpenAI Alternative MCP Tools for Google ADK (13)

These 13 tools become available when you connect OpenAI Alternative to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

OpenAI Alternative + Google ADK FAQ

Common questions about integrating OpenAI Alternative MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.