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by rebers • Search & Retrieval
An MCP server that performs web searches via OpenAI's 4o-mini-search model to give AI agents fresh web context cheaply.
Access and search up-to-date documentation and web pages to augment model context without embedding large amounts of static text.
A low-cost way to provide fresh information by paying per-search (via OpenAI/OpenRouter) instead of consuming model credit for long prompts.
An easy-to-install MCP endpoint (npx package) compatible with MCP clients like Claude, Cursor AI, and Windsurf.
This MCP server exposes a simple npx-run server that uses the 4o-mini-search model to crawl and return up-to-date web results into an MCP-compatible client. It is designed to be lightweight and cost-effective, reducing the need to consume expensive model context by delivering search results instead. Works with OpenAI or OpenRouter providers and integrates easily with MCP clients like Claude App, Cursor AI, and others.
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