OnionClaw — MCP Server by JacobJandon

by JacobJandon · MCP Server · ★ 167

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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

ai-agentsdark-webhidden-servicesllmmcp-serveronionopenclawopenclaw-skillosintpython

Quick Facts

Stars167
Forks6
LanguagePython
CategoryMCP Server
Quality Score69.2034190116238/100
Open Issues4
Last Updated2026-05-28
Created2026-03-14
Platformsbrowser, mcp, python
Est. Tokens~98k

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 OnionClaw™ — OpenClaw skill for full Tor dark web access: search .onion sites, fetch hidden services, rotate identity, run OSINT pipeline, craw.. It is categorized as a MCP Server with 167 GitHub stars.

What programming language is OnionClaw written in?

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

How do I install or use OnionClaw?

You can find installation instructions and usage details in the OnionClaw GitHub repository at github.com/JacobJandon/OnionClaw. The project has 167 stars and 6 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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