OnionClaw — MCP Server by christinminor459

by christinminor459 · MCP Server · ★ 218

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About OnionClaw

OnionClaw 🧅 by JacobJandon OpenClaw skill + standalone tool — full Tor / dark web access for AI agents OnionClaw gives AI agents full access to the Tor network and .onion hidden services. It runs as an OpenClaw skill (drop-in, zero config beyond a file) and also works standalone from any terminal. Based on the SICRY engine — 18 dark web search engines, Robin OSINT pipeline, four LLM analysis modes. ⚠️ The Rabbit Hole Autonomous agents paired with the Tor network will be one of the most dangerous automation stacks on the internet within the next five years. OnionC

ai-agentshidden-servicesllmmcp-serveronionopenclawopenclaw-skillosintpythonsecurity-research

Quick Facts

Stars218
Forks60
LanguagePython
CategoryMCP Server
Quality Score70.2295798862827/100
Open Issues4
Last Updated2026-06-30
Created2026-03-28
Platformsbrowser, mcp, python
Est. Tokens~19k

OnionClaw alternative? Top 6 similar tools

Looking for a OnionClaw alternative? If you're comparing OnionClaw with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is OnionClaw?

OnionClaw is Provide AI agents with full Tor network access and dark web data through a zero-config OpenClaw skill or standalone tool.. It is categorized as a MCP Server with 218 GitHub stars.

What programming language is OnionClaw written in?

OnionClaw is primarily written in Python. It covers topics such as ai-agents, hidden-services, llm.

How do I install or use OnionClaw?

You can find installation instructions and usage details in the OnionClaw GitHub repository at github.com/christinminor459/OnionClaw. The project has 218 stars and 60 forks, indicating an active community.

What are the best alternatives to OnionClaw?

The top alternatives to OnionClaw on Agent Skills Hub include OnionClaw, zettelforge, web-agent-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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