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 Mastra AI 13 tools — connect in under 2 minutes

Name: OpenAI Alternative
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

Built by Vinkius GDPR 13 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OpenAI Alternative through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

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.

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "openai-alternative": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "OpenAI Alternative Agent",
    instructions:
      "You help users interact with OpenAI Alternative " +
      "using 13 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with OpenAI Alternative?"
  );
  console.log(result.text);
}

main();

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.

Mastra's agent abstraction provides a clean separation between LLM logic and OpenAI Alternative tool infrastructure. Connect 13 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the OpenAI Alternative MCP Server with Mastra AI.

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.ts and run with npx tsx agent.ts

Explore tools

Mastra discovers 13 tools from OpenAI Alternative via MCP

Why Use Mastra AI with the OpenAI Alternative MCP Server

Mastra AI provides unique advantages when paired with OpenAI Alternative through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add OpenAI Alternative without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every OpenAI Alternative tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

OpenAI Alternative + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the OpenAI Alternative MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query OpenAI Alternative, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed OpenAI Alternative as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query OpenAI Alternative on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using OpenAI Alternative tools alongside other MCP servers

OpenAI Alternative MCP Tools for Mastra AI (13)

These 13 tools become available when you connect OpenAI Alternative to Mastra AI 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