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 Windsurf 13 tools — connect in under 2 minutes

Name: OpenAI Alternative
Availability: InStock
Author: Vinkius

docs.windsurf.com/windsurf/mcp

Built by Vinkius GDPR 13 Tools IDE

Windsurf brings agentic AI coding to a purpose-built IDE. Connect OpenAI Alternative through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.

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.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install OpenAI Alternative and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "openai-alternative": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

Windsurf's Cascade agent chains multiple OpenAI Alternative tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 13 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.

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 Windsurf 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 Windsurf via MCP

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

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"

Add the server

Paste the JSON configuration above into mcp_config.json

Save and reload

Windsurf will detect the new server automatically

Start using OpenAI Alternative

Open Cascade and ask: "Using OpenAI Alternative, help me..." — 13 tools available

Why Use Windsurf with the OpenAI Alternative MCP Server

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

Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention

Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively

JSON-based configuration means zero code changes: paste a URL, reload, and all 13 tools are immediately available

Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts

OpenAI Alternative + Windsurf Use Cases

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

Automated code generation: ask Cascade to fetch data from OpenAI Alternative and generate models, types, or handlers based on real API responses

Live debugging: query OpenAI Alternative tools mid-session to inspect production data while debugging without leaving the editor

Documentation generation: pull schema information from OpenAI Alternative and have Cascade generate comprehensive API docs automatically

Rapid prototyping: combine OpenAI Alternative data with Cascade's code generation to scaffold entire features in minutes

OpenAI Alternative MCP Tools for Windsurf (13)

These 13 tools become available when you connect OpenAI Alternative to Windsurf 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 Windsurf

Ready-to-use prompts you can give your Windsurf 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 Windsurf

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

Server not connecting

Check Settings → MCP for the server status. Try toggling it off and on.

OpenAI Alternative + Windsurf FAQ

Common questions about integrating OpenAI Alternative MCP Server with Windsurf.

How does Windsurf discover MCP tools?

Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.

Can Cascade chain multiple MCP tool calls?

Yes. Cascade is an agentic system — it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.

Does Windsurf support multiple MCP servers?

Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.