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by joaomj • NLP & LLM
An MCP server that enables agents to perform web searches via the OpenRouter API and returns raw model text responses.
Fetch summarized or raw web search results through an LLM-backed search tool for up-to-date information retrieval.
A simple MCP-integrated tool to add web-search capability to workflows or chat assistants using the OpenRouter API.
Raw, unparsed model text (from google/gemini-2.5-pro-preview-03-25) to perform custom post-processing or downstream analysis.
This MCP server exposes a simple web_search tool that uses the OpenRouter API and the google/gemini-2.5-pro-preview-03-25 model to perform web searches. It returns the direct, unparsed text output from the AI model so agents can consume or post-process results as needed. The server is lightweight and designed to be integrated into MCP-compatible clients by running a Node.js process with the required OPENROUTER_API_KEY environment variable. It simplifies adding web-search capabilities to agent workflows without building search plumbing from scratch.
Perform a web search using OpenRouter API and Google Gemini Pro
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