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by ivanmolanski • Search & Retrieval
A lightweight, local MCP server that provides RAG-like web search/context for LLM agents so they can access up-to-date web information without external APIs.
Fetch and incorporate up-to-date web search results into responses without relying on external APIs or cloud services.
A lightweight, locally runnable RAG context provider to augment answers with recent news or web pages.
An MCP-compatible server for testing or development of retrieval-augmented workflows (e.g., integrating with Claude via MCP config).
This repository implements a primitive RAG-style Model Context Protocol (MCP) server that runs locally and supplies web-search-derived context to chat models. It is designed to be run with the uv/uvx launcher and integrated into a model's MCP configuration, enabling agents (e.g., Claude) to fetch recent web content and augment responses. The server emphasizes no external API dependencies and simple configuration, making it useful for privacy-conscious or offline-capable setups. Example usage and configuration snippets are provided in the README.
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