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Vinkius

OpenAI Connector for AI agents.

13 live capabilities

Manage your fine-tuning jobs and batch processing from your AI client.

Live agent request OpenAI / Connector

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AI Agent

Why people use OpenAI

OpenAI for Managing Fine-Tuning Jobs

With this OpenAI MCP, you just tell your agent what you need. You can ask for a status update or cancel a job with a single sentence. It turns a multi-click process into a conversation, letting you stay focused on your code instead of your dashboard.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a unified command center for your OpenAI resources inside your favorite AI capability.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Stopping a failed training run

    An ML engineer realizes they uploaded a corrupted file.

  2. Real-world use case 02

    Starting a high-volume batch job

    A dev needs to process 10,000 requests cheaply.

  3. Real-world use case 03

    Auditing Assistant instructions

    A product lead wants to check what capabilities their bots have.

Complete set · 13capabilities

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 Capability

    Cancel batch

    Stop a running batch job immediately by providing the batch ID. This is useful for stopping jobs that are no longer needed.

  2. 02 Capability

    Cancel fine tune

    Stop a long-running or incorrect fine-tuning job to save on costs. The job status will change to cancelled.

  3. 03 Capability

    Create batch

    Start a new batch processing job with a specific input file and endpoint. It returns the batch ID for tracking.

  4. 04 Capability

    Delete file

    Remove an uploaded file from your account to free up space. This action is irreversible.

Capability set02 / 04

05—07

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 05 Capability

    Get batch

    Get the current status and details of a specific batch job. Use this to check progress on a per-job basis.

  2. 06 Capability

    Get fine tune

    Retrieve the specific status and metadata for a fine-tuning job. Useful for checking training completion.

  3. 07 Capability

    Get model

    Check the metadata, owner, and permissions for a specific model. Use this to verify a model exists before use.

Capability set03 / 04

08—10

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 08 Capability

    List assistants

    View all configured Assistants including their instructions and capabilities. Use this to audit your agent fleet.

  2. 09 Capability

    List batches

    See all active and completed batch jobs in your account. Each shows its status and request counts.

  3. 10 Capability

    List files

    Browse all uploaded files used for fine-tuning or the Assistants API. You can filter these by purpose.

Capability set04 / 04

11—13

3 capabilities in this set.

Part of 13 available through OpenAI.

  1. 11 Capability

    List fine tunes

    View your entire fine-tuning pipeline, including estimated finish times. Use this to monitor your training progress.

  2. 12 Capability

    List models

    See every model available to your account along with their capabilities. Use this to discover available options.

  3. 13 Capability

    Get assistant

    Pull specific details for a single OpenAI Assistant using its ID. This shows model info and instructions.

Set up in minutes

One URL. Then ask OpenAI to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use OpenAI from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_nUi0FAK4SIEESzN3EN6rUcUtM1G2aBwB1LndkjlH/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it OpenAI, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable OpenAI for the conversation.

Where the request belongs

Work OpenAI can move forward.

Built around the request

This is for the ML engineer who's tired of clicking through dashboards at 2am to see if a training run finished, or the DevOps lead who needs to audit file usage across a team.

01

ML Engineer

Monitors fine-tuning progress and manages training files without leaving the IDE.

02

DevOps Engineer

Audits uploaded files and reviews batch statuses to keep the production pipeline clean.

03

Product Manager

Inspects Assistant configurations and discovers new models for upcoming features.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Forefront logo
01 10 capabilities

Forefront

Access Forefront AI models directly from your agent. generate chat completions, manage fine-tuning jobs, and collect LLM outputs with pipelines.

View Connector
Portkey logo
02 10 capabilities

Portkey

AI gateway observability: monitor logs, costs, and manage LLM configurations via agents.

View Connector
Eden AI logo
03 6 capabilities

Eden AI

Equip your AI agent to manage unified AI workflows, track providers, and monitor API usage via the Eden AI platform.

View Connector
Anthropic logo
04 6 capabilities

Anthropic

Access Claude models via Anthropic API. send messages, count tokens, manage batches and discover models from any AI agent.

View Connector
Keywords AI logo
05 11 capabilities

Keywords AI

Monitor and optimize your LLM API usage with a unified gateway that tracks costs, latency, and model performance across providers.

View Connector
LiteLLM (LLM Proxy & Spend Tracking) logo
06 10 capabilities

LiteLLM (LLM Proxy & Spend Tracking)

Manage your LLM gateway via LiteLLM. generate API keys, track spending, and orchestrate model fallback paths.

View Connector

Bring your own AI

Change the model, client or framework. Keep OpenAI connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about OpenAI.

The practical details behind the request, access and result.

Can I use the OpenAI MCP to manage my fine-tuning jobs?

Yes, you can use the OpenAI MCP to monitor, list, and cancel fine-tuning jobs. It lets you see the status of your training pipeline directly through your AI client.

How does the OpenAI MCP help with batch processing?

It allows you to create, track, and cancel batch jobs using natural language. You can check the status of large-scale API requests without leaving your workspace.

Can I delete files from my OpenAI account using this Connector?

Yes, you can use the delete_file capability via the OpenAI MCP to remove uploaded files. This helps you manage your storage and keep your account clean.

Does the OpenAI MCP work with Cursor or Claude?

Yes, the OpenAI MCP works with any MCP-compatible client, including Claude, Cursor, and Windsurf. You just connect it via Vinkius and start managing your resources.

How do I see which models are available in my OpenAI account?

You can ask your agent to list all available models. The OpenAI MCP will pull the latest data on model IDs, owners, and permissions for you.

Can I use the OpenAI MCP to audit my Assistants?

Yes, it provides a way to list all your Assistants and inspect their specific instructions, models, and capabilities in one view.

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.

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, 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.

One connection away

Give your agent a direct line to OpenAI.

Connect OpenAI once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available