O3 Search MCP

🚀 o3-search-mcp

An MCP server that enables the use of OpenAI's o3 model and its powerful web search capabilities. By registering it with any AI coding agent, the agent can autonomously consult with the o3 model to solve complex problems.

🚀 Quick Start

This MCP server allows you to leverage OpenAI's o3 model and its web - search capabilities. By integrating it with an AI coding agent, the agent can independently consult the o3 model to address complex issues.

✨ Features

🐛 When you're stuck debugging

o3's web search can scan a wide range of sources, including GitHub issues and Stack Overflow, significantly increasing the chances of resolving niche problems. Example prompts:

> I'm getting the following error on startup, please fix it. If it's too difficult, ask o3.
> [Paste error message here]

> The WebSocket connection isn't working. Please debug it. If you don't know how, ask o3.

📚 When you want to reference the latest library information

You can get answers from the powerful web search even when there's no well - organized documentation. Example prompts:

> I want to upgrade this library to v2. Proceed while consulting with o3.

> I was told this option for this library doesn't exist. It might have been removed. Ask o3 what to specify instead and replace it.

🧩 When tackling complex tasks

In addition to search, you can also use it as a sounding board for design. Example prompts:

> I want to create a collaborative editor, so please design it. Also, ask o3 for a design review and discuss if necessary.

Also, since it's provided as an MCP server, the AI agent may decide on its own to talk to o3 when it deems it necessary, without any instructions from you. This will dramatically expand the range of problems it can solve on its own!

📦 Installation

npx (Recommended)

Claude Code:

$ claude mcp add o3 \
	-s user \  # If you omit this line, it will be installed in the project scope
	-e OPENAI_API_KEY=your-api-key \
	-e SEARCH_CONTEXT_SIZE=medium \
	-e REASONING_EFFORT=medium \
	-e OPENAI_API_TIMEOUT=60000 \
	-e OPENAI_MAX_RETRIES=3 \
	-- npx o3-search-mcp

json:

{
  "mcpServers": {
    "o3-search": {
      "command": "npx",
      "args": ["o3-search-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        // Optional: low, medium, high (default: medium)
        "SEARCH_CONTEXT_SIZE": "medium",
        "REASONING_EFFORT": "medium",
        // Optional: API timeout in milliseconds (default: 60000)
        "OPENAI_API_TIMEOUT": "60000",
        // Optional: Maximum number of retries (default: 3)
        "OPENAI_MAX_RETRIES": "3"
      }
    }
  }
}

Local Setup

If you want to download the code and run it locally:

git clone git@github.com:yoshiko-pg/o3-search-mcp.git
cd o3-search-mcp
pnpm install
pnpm build

Claude Code:

$ claude mcp add o3 \
	-s user \  # If you omit this line, it will be installed in the project scope
	-e OPENAI_API_KEY=your-api-key \
	-e SEARCH_CONTEXT_SIZE=medium \
	-e REASONING_EFFORT=medium \
	-e OPENAI_API_TIMEOUT=60000 \
	-e OPENAI_MAX_RETRIES=3 \
	-- node /path/to/o3-search-mcp/build/index.js

json:

{
  "mcpServers": {
    "o3-search": {
      "command": "node",
      "args": ["/path/to/o3-search-mcp/build/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        // Optional: low, medium, high (default: medium)
        "SEARCH_CONTEXT_SIZE": "medium",
        "REASONING_EFFORT": "medium",
        // Optional: API timeout in milliseconds (default: 60000)
        "OPENAI_API_TIMEOUT": "60000",
        // Optional: Maximum number of retries (default: 3)
        "OPENAI_MAX_RETRIES": "3"
      }
    }
  }
}

📚 Documentation

Environment Variables

⚠️ Important Note

To use the o3 model from the OpenAI API, you need to either raise your tier to 4 or verify your organization. If you register an API key that is not yet enabled for o3 with this MCP, calls will result in an error. Reference: https://help.openai.com/en/articles/10362446-api-access-to-o1-o3-and-o4-models