OpenAI MCP Server — Hosted Ai, Any AI Agent

mcp-openai — OpenAI MCP Server

Access GPT chat completions, DALL-E image generation, embeddings, and moderation from your AI agents.

OpenAI's API powers the most widely-used AI capabilities in production: chat completions with GPT-4, image generation with DALL-E, text embeddings for semantic search, and content moderation. This MCP server wraps all of them in a single endpoint — letting your Aerostack agents use OpenAI's models as tools within multi-agent workflows, or expose them directly to end users.

Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-openai

---

What You Can Do

• Compose multi-model pipelines where one agent calls GPT-4o to generate text, then another calls DALL-E to generate an image from that text
• Generate embeddings for documents to enable semantic search or RAG workflows without a separate embedding service
• Run content moderation on user-generated text before storing or displaying it
• Inspect available models and fine-tuning job status from your workspace

Available Tools

Tool	Description
chat_completion	Create a chat completion using OpenAI models (GPT-4o, GPT-4, GPT-3.5, etc.)
list_models	List all available OpenAI models
create_embedding	Create text embeddings for semantic search or similarity
create_image	Generate an image using DALL-E 3
create_moderation	Check text for policy violations
list_files	List uploaded files associated with the API key
list_fine_tuning_jobs	List fine-tuning jobs and their status

Configuration

Variable	Required	Description	How to Get
OPENAI_API_KEY	Yes	OpenAI API key for all API calls	platform.openai.com/api-keys → Create new secret key → copy the key (shown once)

Quick Start

Add to Aerostack Workspace

1. Go to aerostack.dev → Your Project → MCPs
2. Search for "OpenAI" and click Add to Workspace
3. Add your OPENAI_API_KEY under Project → Secrets

Once added, every AI agent in your workspace can call OpenAI tools automatically — no per-user setup needed.

Example Prompts

"Use GPT-4o to write a product description for the following feature list..."
"Generate a DALL-E image of a futuristic dashboard UI with dark theme and neon accents"
"Create an embedding for this text and return the vector: 'customer churn prediction'"

Direct API Call

curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-openai \
  -H 'Content-Type: application/json' \
  -H 'X-Mcp-Secret-OPENAI-API-KEY: your-api-key' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"chat_completion","arguments":{"messages":[{"role":"user","content":"Say hello in one sentence."}]}}}'

License

MIT