OpenAI MCP Server

A Type 3 DAuth MCP server for OpenAI API. Provides chat completions, embeddings, moderation, and file management.

Features

• List Models — View all available OpenAI models
• Create Response — Chat completions with GPT models
• Create Embedding — Text vectorization for semantic search
• Moderate Text — Content safety checking
• List Files — View uploaded files
• Upload File — Upload files for fine-tuning or assistants

Authentication

This server uses Type 3 DAuth (Dedalus Auth) — your API key is encrypted client-side and decrypted in a secure Dedalus enclave.

Get Your OpenAI API Key

1. Go to https://platform.openai.com/api-keys
2. Create a new secret key
3. Copy the key

Installation

git clone https://github.com/dedalus-labs/openai-mcp.git
cd openai-mcp
pip install -e .
cp .env.example .env
# Edit .env and add OPENAI_API_KEY

Available Tools

openai_list_models

List all available OpenAI models.

openai_list_models()

openai_create_response

Create a chat completion.

openai_create_response(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}],
    temperature=0.7,
    max_tokens=500,
)

openai_create_embedding

Generate text embeddings.

openai_create_embedding(
    input="The quick brown fox",
    model="text-embedding-3-small",
)

openai_moderate_text

Check content for harmful material.

openai_moderate_text(input="This is a test message")

openai_list_files

List uploaded files.

openai_list_files(purpose="assistants", limit=50)

openai_upload_file

Upload a file.

openai_upload_file(file_path="/path/to/file.jsonl", purpose="batch")

Cost & Rate Limits

OpenAI uses pay-per-token pricing. Check https://openai.com/pricing for current rates.

Deploy to Dedalus

1. Push to GitHub (public repo)
2. Go to https://www.dedaluslabs.ai/dashboard
3. Add Server → Connect GitHub repo
4. Set OPENAI_API_KEY as Required Credential
5. Deploy

License

MIT