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.
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Highlight AIIntelligent web search with reasoning model support. Parameters include: input (string, required), model (string, optional, defaults to gpt-5-mini), reasoning_effort (string, optional, defaults to smart default), type (string, optional, defaults to web_search_preview), search_context_size (string, optional, defaults to medium), and user_location (object, optional, defaults to null).
