An astronaut overseeing a futuristic data hub

Connect OpenAI (Alternative) to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run your entire OpenAI pipeline through your AI client.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 13 capabilities

We ship only the actions that matter.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 13 available through OpenAI.

  1. 01

    Create batch

    Starts a new batch processing job using a specific input file and endpoint. It returns a batch ID so you can track the progress.

  2. 02

    Delete file

    Removes an uploaded file from your OpenAI account. Use this carefully, as deleting a file can break any fine-tunes or assistants relying on it.

  3. 03

    Get assistant

    Retrieves the full configuration and details for a specific Assistant ID.

  4. 04

    Get batch

    Fetches the current status and details for a specific batch job.

Capability set02 / 04

05-07

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 05

    Get model

    Checks the metadata, ownership, and permissions for a specific model ID.

  2. 06

    List assistants

    Shows all your configured Assistants, including their instructions, models, and enabled capabilities.

  3. 07

    List batches

    Provides a list of all batch processing jobs and their current states, such as in_progress or completed.

Capability set03 / 04

08-10

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 08

    List models

    Lists every model available to your account, including DALL-E, Whisper, and fine-tuned versions.

  2. 09

    Get fine tune

    Returns the specific details and current status of a fine-tuning job.

  3. 10

    List files

    Displays all files uploaded to your account, categorized by their purpose like fine-tuning or assistants.

Capability set04 / 04

11-13

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 11

    List fine tunes

    Shows all fine-tuning jobs and their current progress, base models, and estimated completion times.

  2. 12

    Cancel batch

    Stops a running batch job immediately.

  3. 13

    Cancel fine tune

    Aborts a fine-tuning job if you need to stop training or if you used the wrong data.

Real work

What teams actually run

01

Fine-tuning Oversight

Check if a training job succeeded or failed directly from your chat interface.

02

Cost Management

Run large scale requests using batch processing to keep API costs down.

03

Assistant Configuration

Verify the instructions and capabilities assigned to a specific assistant.

04

Resource Cleanup

Identify and delete old files used for previous fine-tuning runs.

Automate a task

Put OpenAI to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

OpenAI works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put OpenAI to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

933ms average. Fast in production.

OpenAI is checked daily against the live service.

Daily averagePeak 1146ms
Oct 3Today
Fastest day
774ms
Slowest day
1146ms
14-day trend
Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 13 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of OpenAI, so you can see the experience inside your AI.

It does not authenticate your account with OpenAI. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

OpenAI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_nUi0FAK4SIEESzN3EN6rUcUtM1G2aBwB1LndkjlH/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — OpenAI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "openai-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_nUi0FAK4SIEESzN3EN6rUcUtM1G2aBwB1LndkjlH/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up OpenAI in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work OpenAI owners hand off.

This MCP is built for technical users who manage OpenAI resources through code and APIs.

  • 01

    ML Engineers

    They monitor fine-tuning progress and manage training files without leaving their IDE.

  • 02

    DevOps

    They audit uploaded files and clean up unused resources or failed batch jobs.

  • 03

    Product Teams

    They inspect assistant configurations and check model availability.

FAQ

Questions OpenAI owners ask.

  • 01

    How do I use this MCP with Claude?

    Once you subscribe on Vinkius and enter your API key, you can connect it to Claude by following the standard MCP connection steps in your client.

  • 02

    Can I cancel a fine-tuning job?

    Yes, you can use the cancel_fine_tune capability to stop a running job if you need to abort the process.

  • 03

    Is it safe to delete files through this MCP?

    Deleting a file is irreversible. If you delete a file being used by an assistant or a fine-tune, those resources will break.

  • 04

    What models can I manage?

    You can list and inspect any models available to your account, including GPT-4, DALL-E, Whisper, and your own fine-tuned models.

  • 05

    Do I need to use the OpenAI dashboard?

    No, this MCP is designed so you can perform most management tasks through your AI agent instead of the web dashboard.

  • 06

    How do I get my OpenAI API Key?

    Log in to the OpenAI Platform, 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.

  • 07

    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.

  • 08

    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.

  • 09

    Can I list and inspect my Assistants?

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

Connect OpenAI to Claude, Cursor, ChatGPT & more