GPT-5 Search MCP Server

GPT-5 Search MCP Server

Provides access to OpenAI's GPT-5 model with web search and advanced reasoning capabilities, enabling AI-powered search and analysis through MCP tools.

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GPT-5 Search MCP Server

An MCP (Model Context Protocol) server that provides access to OpenAI's GPT-5 model with web search and advanced reasoning capabilities.

Features

  • GPT-5 Integration: Direct access to OpenAI's latest GPT-5 reasoning model
  • Web Search: Built-in web search capabilities for up-to-date information
  • Type Safety: Full TypeScript types with Zod validation for API responses
  • Error Handling: Robust error handling with retry logic and structured error messages
  • Multiple Variants: Different tools for various use cases:
    • gpt5-search: Main tool with web search and medium reasoning
    • gpt5: Pure reasoning without web search
    • gpt5-low: Fast responses with low reasoning effort
    • gpt5-high: Deep analysis with high reasoning effort
    • gpt5-mini: Using the smaller gpt-5-mini model
    • gpt5-nano: Using the smallest gpt-5-nano model
    • gpt5-pro: ⚠️ EXPENSIVE - Premium GPT-5 Pro model (use only when explicitly requested)

Limitations

⚠️ No Local File Access: This MCP server does not provide file reading capabilities. The GPT-5 tools cannot access or read local files from your system. Only text prompts are sent to the OpenAI API.

  • What it CAN do: Write gpt5-pro outputs to files, make web searches, perform reasoning
  • What it CANNOT do: Read local files, access your filesystem, include file contents in prompts

If you need to provide file contents to GPT-5, you must copy/paste the content into your prompt manually.

Installation

npm install
npm run build

Configuration

Set your OpenAI API key as an environment variable:

export OPENAI_API_KEY=your-api-key-here

Optional environment variables:

  • SEARCH_CONTEXT_SIZE: Controls web search context size (low, medium, high). Default: medium
  • REASONING_EFFORT: Controls reasoning effort (low, medium, high). Default: medium
  • CLIENT_CWD: Directory where gpt5-pro outputs will be saved. Default: server's current working directory

Usage with Claude Code

Add to your Claude Code configuration (.claude/config.json):

{
  "mcpServers": {
    "gpt5-search": {
      "command": "node",
      "args": ["/path/to/gpt5-search-mcp/build/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-api-key-here",
        "CLIENT_CWD": "${workspaceFolder}"
      }
    }
  }
}

Note: The CLIENT_CWD variable controls where gpt5-pro output files are saved. Use ${workspaceFolder} to save files in your current working directory, or specify an absolute path.

Available Tools

gpt5-search

Main tool with web search capabilities. Best for queries requiring current information.

gpt5

Pure reasoning without web search. Best for complex problem-solving that doesn't need current data.

gpt5-low

Fast responses with low reasoning effort and web search. Good for simple queries.

gpt5-high

High reasoning effort with web search. Best for complex problems requiring deep analysis.

gpt5-mini

Uses the gpt-5-mini model - smaller, faster, and less expensive.

gpt5-nano

Uses the gpt-5-nano model - smallest and fastest for simple queries.

gpt5-pro ⚠️

EXPENSIVE MODEL - Use Only When Explicitly Requested

Uses the gpt-5-pro-2025-10-06 model with maximum reasoning capabilities and web search. This is a premium, high-cost model that provides the most advanced reasoning and analysis capabilities.

Important Notes:

  • This model should only be invoked when the user explicitly requests it due to its significantly higher cost
  • Automatic File Output: Due to extremely large output sizes that can crash clients, gpt5-pro responses are automatically saved to files in the gpt5-pro-outputs/ directory
  • The tool returns only a preview (first 1000 chars) and the file path
  • Files are named with timestamps: gpt5-pro-YYYY-MM-DDTHH-MM-SS-mmmZ.txt
  • Output location can be controlled with the CLIENT_CWD environment variable

Implementation Details

Architecture Improvements (v0.0.2)

  • Tool Factory Pattern: Single createTool function eliminates code duplication
  • Configuration Registry: Centralized toolConfigs object manages all tool variants
  • Type Safety: Zod schemas validate API responses with proper TypeScript inference
  • Error Handling:
    • Custom HttpError class for structured errors
    • Automatic retry with exponential backoff for transient failures
    • Respects Retry-After headers for rate limiting
    • User-friendly error messages for different status codes

API Response Format

The GPT-5 API returns a structured response with:

  • Reasoning tokens (hidden but billed)
  • Web search calls (if web search is enabled)
  • Final message with text and URL citations

Testing

Run the test script to verify the server is working:

node test-mcp.js

License

WTFPL - Do What The Fuck You Want To Public License

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