OpenAI WebSearch

Enables AI assistants to search the web in real-time through OpenAI's websearch functionality, retrieving up-to-date information beyond training data cutoffs with configurable search parameters.

The OpenAI WebSearch MCP Server provides AI assistants with access to real-time web search capabilities through OpenAI's websearch functionality. Developed by ConechoAI, this Python-based implementation allows Claude and other AI assistants to search the web during conversations, retrieving up-to-date information not available in their training data. The server supports configurable search context sizes and user location parameters, making it particularly valuable for answering questions about current events, retrieving recent information, or accessing specialized knowledge that may be outside an assistant's knowledge cutoff. It can be easily installed via pip or uv and configured for use with Claude.app or Zed editor.