Which models can I use?

Any model available on your API key: GPT-4o, GPT-4o-mini, GPT-4-turbo, o1, o3 — use `list_models` to see all.

Can I generate images?

Yes! Use `generate_image` with a text prompt. Supports 1024x1024, 1792x1024, and 1024x1792 sizes.

How does content moderation work?

The `moderate_content` tool analyzes text against OpenAI's content policy, flagging categories like hate, violence, and self-harm with confidence scores.

OpenAI MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes

Name: OpenAI
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 10 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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 and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "openai": {
      "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 MCP Server

Connect the OpenAI API to any AI agent and unlock the full power of GPT models as composable tools.

GitHub Copilot Agent mode brings OpenAI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Chat Completions — Generate responses from GPT-4o, GPT-4o-mini, and other models
Image Generation — Create images with DALL-E 3 from text descriptions
Embeddings — Convert text to vector representations for semantic search
Content Moderation — Check text for policy violations automatically
Fine-tuning — Create and monitor custom model training jobs
File Management — List uploaded files for training and assistants
Assistants — Browse configured OpenAI Assistants
Structured Output — Generate structured JSON responses from prompts

The OpenAI MCP Server exposes 10 tools through the Vinkius. Connect it to VS Code Copilot 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 to VS Code Copilot via MCP

Follow these steps to integrate the OpenAI MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using OpenAI

Ask Copilot: "Using OpenAI, help me...". 10 tools available

Why Use VS Code Copilot with the OpenAI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with OpenAI through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

OpenAI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the OpenAI MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

OpenAI MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect OpenAI to VS Code Copilot via MCP:

chat_completion

Specify model (gpt-4o, gpt-4o-mini, etc.) and messages array as JSON. Generate a chat completion using OpenAI models

create_embedding

Create text embeddings

create_fine_tune

Requires a previously uploaded JSONL training file ID. Create a fine-tuning job

generate_image

Returns the image URL. Generate an image with DALL-E 3

list_assistants

List OpenAI Assistants

list_files

List uploaded files

list_fine_tunes

List fine-tuning jobs

list_models

List available OpenAI models

moderate_content

Check content for policy violations

structured_output

Provide a system prompt and user message. Generate structured JSON output from a prompt

Example Prompts for OpenAI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with OpenAI immediately.

"Ask GPT-4o to summarize this document in 3 bullet points."

"Generate an image of a futuristic cityscape at sunset."

"Check if this text violates content policies."

Troubleshooting OpenAI MCP Server with VS Code Copilot

Common issues when connecting OpenAI to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

OpenAI + VS Code Copilot FAQ

Common questions about integrating OpenAI MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.