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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use OpenAI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage OpenAI resources via API. list models, monitor fine-tunes, manage batches and inspect Assistants from any AI agent.

Included with plan

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

Complete set · 13 capabilities

The complete OpenAI capability set.

These are the exact actions your AI can choose when you ask it to work with OpenAI.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 13 available through OpenAI.

  1. 01

    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

  2. 02

    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

  3. 03

    Get fine tune

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

  4. 04

    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

Capability set02 / 04

05-07

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 05

    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

  2. 06

    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

  3. 07

    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

Capability set03 / 04

08-10

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 08

    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

  2. 09

    Cancel batch

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

  3. 10

    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

Capability set04 / 04

11-13

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 11

    Get batch

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

  2. 12

    List assistants

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

  3. 13

    Get assistant

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

Observed, not estimated

911ms average. Fast in production.

OpenAI is checked daily against the live service.

Daily averagePeak 1142ms
Aug 20Today
Fastest day
768ms
Slowest day
1142ms
14-day trend
Improving-12%

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

FAQ

Questions OpenAI owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

  • 04

    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.

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