Absolutely 익명 지식 retrieval for your LLM: the world’s first Model Context Protocol (MCP) server that exposeds tools to search the web and fetch pages anonymously through Tor. 검색 결과 DuckDuckGo에서 와서 페이지 내용이 실제 Tor Browser 인스턴스를 통해 검색되며, 범용 지문을 보존합니다. Tor 사용자는 다른 사람에서 구별 할 수 있습니다.

왜 이 존재

수백만 명의 사람들이 LM Studio 또는 Ollama와 같은 앱을 통해 로컬 LLM을 사용합니다. 로컬에서 실행하는 모델은 정보 액세스, 아이디어 탐구, 그리고 자동화 computation에 매우 개인적이고 낮은 비용 방법을 제공합니다.

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검색 도구는 LLM 채팅 인터페이스에서 ubiquitous되고 -ChatGPT, Gemini 및 기타 대부분의 쿼리에 대한 배경에서 자동으로 사용합니다. 그 사이에, 로컬 LLMs 경로 요청에 대한 모든 웹 검색 통합 도구는 Google Chrome, Firefox, 또는 Brave의 오프-shelf 설치를 통해 로컬 LLMs 경로 요청에 대해 권장, (마케팅에도 불구하고) 추적, surveil, rate-limit 또는 geo-restrict에 사용할 수있는 특정 브라우저 지문을 남겨.

Onion Search MCP

Absolutely anonymous knowledge retrieval for your LLM: the world’s first Model Context Protocol (MCP) server that exposes tools to search the web and fetch pages anonymously through Tor. Search results come from DuckDuckGo, and page content is retrieved through an actual Tor Browser instance, preserving the universal fingerprint that makes Tor users indistinguishable from one another.

Why this exists

Millions of people use local LLMs through apps like LM Studio or Ollama. Running models locally offers an extremely private and low-cost way to access information, explore ideas, and automate computation.

https://github.com/user-attachments/assets/1e07d780-8f9e-474e-a7f0-7581c4d64fcb

Search tools are becoming ubiquitous in LLM chat interfaces—ChatGPT, Gemini, and others use them automatically in the background for most queries. Meanwhile, every web search integration tool recommended for local LLMs route requests through off-the-shelf installations of Google Chrome, Firefox, or Brave, which (despite their marketing) leave specific browser fingerprints that can be used to track, surveil, rate-limit, or geo-restrict you.

This tool takes a different approach: every request flows through the Tor network and browser, which routes your requests through an anonymity network and makes your traffic indistinguishable from millions of other users.

Installation

⚡ Install quickly by giving this prompt to Claude Code, Codex, or any other agent of choice.

Prerequisites

Download Python 3.11+. Check if you have it installed by running in your terminal:

• python3 --version on macOS or Linux
• python --version on Windows

If you don’t, download and install the latest version from python.org.

On Linux, link-copy mode in the TUI (C key) requires xclip:

• Debian/Ubuntu: sudo apt install xclip
• Fedora: sudo dnf install xclip
• Arch: sudo pacman -S xclip

Download the project

For those comfortable with Git, clone the repository:

git clone https://github.com/maximilianromer/Onion-Search-MCP.git

For the less technical: download the project by clicking the green “Code” button above and selecting “Download ZIP”; then extract the ZIP file to a location to keep it in.

⚠️ Warning: To speed up initialization, Tor network information is cached in this folder. I highly discourage saving this MCP in a directory that backs up to cloud storage.

Run the installer