AI & ML

OpenAI API MCP Config

APIs for sampling from and fine-tuning language models

Config URL

Use this URL in any MCP-compatible client to fetch the config automatically.

https://mcpbridge.org/config/openai-com.json

Download JSON Claude Desktop Setup

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-com": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/openai-com"
      ],
      "env": {
        "OPENAI_API_API_KEY": "your_openai_api_api_key"
      }
    }
  }
}

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "openai-com": {
      "url": "https://mcpbridge.org/config/openai-com.json"
    }
  }
}

VS Code

Use with MCP extension

{
  "mcpServers": {
    "openai-com": {
      "url": "https://mcpbridge.org/config/openai-com.json"
    }
  }
}

Configuration JSON

Use curl https://mcpbridge.org/config/openai-com.json to fetch programmatically.

{
  "mcpServers": {
    "openai-com": {
      "command": "npx",
      "args": ["-y","@mcp/openai-com"],
      "env": {
      "OPENAI_API_API_KEY": "your_openai_api_api_key"
}
    }
  }
}

How to Use

Claude Desktop

Paste the config JSON into your claude_desktop_config.json.

Full instructions →

Cursor

Go to Cursor Settings → MCP Servers → Add with the JSON above.

CLI / curl

Fetch the config programmatically:

curl https://mcpbridge.org/config/openai-com.json

Environment Variables

OPENAI_API_API_KEY

Replace your_openai_api_api_key with your actual openai api api key

Endpoints

POST/answers

Answers the specified question using the provided documents and examples. The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).

POST/audio/transcriptions

Transcribes audio into the input language.

POST/audio/translations

Translates audio into into English.

POST/chat/completions

Creates a completion for the chat message

POST/classifications

Classifies the specified `query` using provided examples. The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint. Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.

POST/completions

Creates a completion for the provided prompt and parameters

POST/edits

Creates a new edit for the provided input, instruction, and parameters.

POST/embeddings

Creates an embedding vector representing the input text.

GET/engines

Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.

GET/engines/{engine_id}

Retrieves a model instance, providing basic information about it such as the owner and availability.

Similar APIs

Other APIs in the AI & ML category.

OpenAI API

Generate text, images, and embeddings. Integrate GPT models and DALL-E into your AI agent.

https://mcpbridge.org/config/openai.json

Anthropic API

Access Claude AI models for text generation, analysis, and code assistance through the Anthropic API.

https://mcpbridge.org/config/anthropic.json

Amazon CodeGuru Reviewer

This section provides documentation for the Amazon CodeGuru Reviewer API operations. CodeGuru Reviewer is a service that uses program analysis and machine learning to detect potential defects that are difficult for developers to find and recommends fixes in your Java and Python code. By pr

https://mcpbridge.org/config/amazonaws-com-codeguru-reviewer.json

Amazon CodeGuru Profiler

This section provides documentation for the Amazon CodeGuru Profiler API operations. Amazon CodeGuru Profiler collects runtime performance data from your live applications, and provides recommendations that can help you fine-tune your application performance. Using machine learning algo

https://mcpbridge.org/config/amazonaws-com-codeguruprofiler.json

OpenAI APIMCP Server Details →