OpenAI MCP Server

AIstdiov1.0.3
Repository

Official OpenAI MCP server for integrating GPT models, DALL-E, and Whisper into agentic workflows. Provides tools for chat completion, image generation, audio transcription, and embeddings through the Model Context Protocol. Supports function calling, structured outputs, and streaming responses.

Bağlan

Bu yapılandırmayı şuraya ekleyin: .claude/mcp.json

{
  "mcpServers": {
    "openai": {
      "command": "npx",
      "args": [
        "-y",
        "@openai/mcp-server"
      ],
      "env": {
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
      }
    }
  }
}

Araçlar (3)

chat_completion

Generate a chat completion using OpenAI models. Supports system messages, function calling, and structured outputs.

{
  "type": "object",
  "required": [
    "model",
    "messages"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "Model ID (e.g., gpt-5, gpt-5-4-mini)"
    },
    "messages": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "role": {
            "type": "string"
          },
          "content": {
            "type": "string"
          }
        }
      },
      "description": "Conversation messages"
    },
    "max_tokens": {
      "type": "integer",
      "description": "Maximum tokens in response"
    },
    "temperature": {
      "type": "number",
      "description": "Sampling temperature (0-2)"
    }
  }
}

create_image

Generate an image using DALL-E from a text prompt.

{
  "type": "object",
  "required": [
    "prompt"
  ],
  "properties": {
    "size": {
      "type": "string",
      "description": "Image size (1024x1024, 1792x1024, 1024x1792)"
    },
    "prompt": {
      "type": "string",
      "description": "Text description of the desired image"
    },
    "quality": {
      "type": "string",
      "description": "Quality level (standard, hd)"
    }
  }
}

create_embedding

Generate embeddings for input text using OpenAI embedding models.

{
  "type": "object",
  "required": [
    "input",
    "model"
  ],
  "properties": {
    "input": {
      "type": "string",
      "description": "Text to embed"
    },
    "model": {
      "type": "string",
      "description": "Embedding model ID"
    }
  }
}

Kaynaklar

Bu sunucu herhangi bir kaynak sunmuyor.

Prompt'lar

Bu sunucu herhangi bir prompt sunmuyor.

Sunucu bilgileri

Yazar
OpenAI (@openai)
Repository
https://github.com/openai/openai-mcp-server
Lisans
MIT
Sürüm
1.0.3
Yıldızlar
8,920
Son güncelleme
30 Mayıs 2026