Robin: AI-Powered Dark Web OSINT MCP server
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
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Robin: AI-Powered Dark Web OSINT tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
What the publisher says
From the Robin: AI-Powered Dark Web OSINT repository's README, as published. We do not edit it. Read it on GitHub
Robin: AI-Powered Dark Web OSINT Tool
Robin is an AI-powered tool for conducting dark web OSINT investigations. It leverages LLMs to refine queries, filter search results from dark web search engines, and provide an investigation summary. Installation • Robin as MCP • Troubleshooting • Contributing • Acknowledgements
Architecture
Features
- 🤖 Multi-Model Support – OpenAI, Claude, Gemini, Mistral, OpenRouter, Ollama, or any OpenAI-compatible API (LM Studio, llama.cpp, Groq, etc.).
- 🌐 Web UI – Streamlit-based interface for interactive investigations.
- 🔌 MCP Support – Run Robin from any MCP-capable agent, using that agent's own model. See Robin as MCP.
- 💬 Conversational Follow-ups – Ask grounded follow-up questions about an investigation without re-running the search, answered from that investigation's own data.
- 🔀 One-Click Pivots – Suggested follow-up queries surfaced from the findings; click one to launch a fresh investigation.
- 🐳 Docker-Ready – Recommended Docker deployment for clean, isolated usage.
⚠️ Disclaimer
This tool is intended for educational and lawful investigative purposes only. Accessing or interacting with certain dark web content may be illegal depending on your jurisdiction. The author is not responsible for any misuse of this tool or the data gathered using it.
Use responsibly and at your own risk. Ensure you comply with all relevant laws and institutional policies before conducting OSINT investigations.
Additionally, Robin leverages third-party APIs (including LLMs). Be cautious when sending potentially sensitive queries, and review the terms of service for any API or model provider you use.
Installation
[!NOTE]
The tool needs Tor to do the searches. You can install Tor using apt install tor on Linux/Windows(WSL) or brew install tor on Mac. Once installed, confirm if Tor is running in the background.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add robin -- docker run -i --rm docker.io/apurvsg/robin:v3.0
Robin: AI-Powered Dark Web OSINT: common questions
- Is Robin: AI-Powered Dark Web OSINT MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Robin: AI-Powered Dark Web OSINT safety report
- How do I install Robin: AI-Powered Dark Web OSINT?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does Robin: AI-Powered Dark Web OSINT need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Robin: AI-Powered Dark Web OSINT maintained?
- The last commit was in the last day (2026-09-26). The latest release is v3.0.0.
- What can I use instead of Robin: AI-Powered Dark Web OSINT?
- Servers from other publishers that do the same job: PDF MCP server, Mockserver MCP server and Google Surf MCP server. Compare all Robin: AI-Powered Dark Web OSINT alternatives.
Alternatives to Robin: AI-Powered Dark Web OSINT
Same job from other publishers: the closest match first, then the best rated.
- PDFAgentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.not reviewedEstablishedA
MockserverMock, record/replay, verify and chaos-test any HTTP, REST, gRPC or LLM dependency over MCP.not reviewedEstablishedA- Google SurfWeb, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.not reviewedEstablishedB
- Agent CommsCross-harness communication mesh for LLM agents — rooms, DMs, presence, and visibility over TCPnot reviewedEstablishedA
- CHAP CoordinatorAuditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.not reviewedEstablishedA
