OpenAI API MCP Server
Generate text, images, and embeddings. Integrate GPT models and DALL-E into your AI agent.
Quick Start Summary
The OpenAI API MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the OpenAI API API through natural language. It exposes 3 API endpoints as callable tools, such as Create chat completion, Generate image, Create embeddings. Authentication requires API Key credentials, and setup takes approximately 2 minutes. The server uses STDIO transport and can be installed by running npx -y @modelcontextprotocol/server-openai. This integration is sourced from the official OpenAI API OpenAPI specification (v1.0.0) and has a quality score of 78/99 (good documentation coverage).
Server Details
- Category
- AI & ML
- Authentication
- API Key
- Endpoints
- 3 operations
- Transport
- STDIO
- Spec Version
- v1.0.0
- Install Command
npx -y @modelcontextprotocol/server-openai
Environment Variables
OPENAI_API_KEYExample: sk-...
Top Endpoints
/v1/chat/completionsCreate chat completion
/v1/images/generationsGenerate image
/v1/embeddingsCreate embeddings
Build with OpenAI API
Get everything you need in one bundle: MCP config, cursor rules, and framework integration for OpenAI API.
View OpenAI + Python AI Stack→Read the Guide
Step-by-step walkthrough for setting up and using the OpenAI API MCP server.
OpenAI APIMCP Setup Guide →One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"openai": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openai"
],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"openai": {
"url": "https://mcpbridge.org/config/openai.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"openai": {
"url": "https://mcpbridge.org/config/openai.json"
}
}
}Endpoints Explorer
Search and browse the 3 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling OpenAI API endpoints in curl, TypeScript, or Python.
curl -X POST "https://raw.githubusercontent.com/openai/openai-openapi/master/openapi.yaml/v1/chat/completions" \ -H "Content-Type: application/json" \ -H "Authorization: YOUR_API_KEY"
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"openai": {
"command": "npx",
"args": ["-y","@modelcontextprotocol/server-openai"],
"env": {
"OPENAI_API_KEY": "sk-..."
}
}
}
}Authentication Details
This API requires API Key credentials.
Variables to configure:
OPENAI_API_KEY
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking OpenAI API endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v1.0.0
Page compiled on: June 13, 2026
This listing has been claimed and verified by the API owner.
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