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.
README
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 reasoninggpt5: Pure reasoning without web searchgpt5-low: Fast responses with low reasoning effortgpt5-high: Deep analysis with high reasoning effortgpt5-mini: Using the smaller gpt-5-mini modelgpt5-nano: Using the smallest gpt-5-nano modelgpt5-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:mediumREASONING_EFFORT: Controls reasoning effort (low,medium,high). Default:mediumCLIENT_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_CWDenvironment variable
Implementation Details
Architecture Improvements (v0.0.2)
- Tool Factory Pattern: Single
createToolfunction eliminates code duplication - Configuration Registry: Centralized
toolConfigsobject manages all tool variants - Type Safety: Zod schemas validate API responses with proper TypeScript inference
- Error Handling:
- Custom
HttpErrorclass for structured errors - Automatic retry with exponential backoff for transient failures
- Respects
Retry-Afterheaders for rate limiting - User-friendly error messages for different status codes
- Custom
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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