Server data from the Official MCP Registry
Local-first RAG engine with MCP server for AI agent integration.
About
Local-first RAG engine with MCP server for AI agent integration.
Security Report
Darwin RAG is a sophisticated local-first RAG system with generally sound architecture and appropriate permission scoping for its purpose. However, there are several code quality and security concerns that warrant attention: credential handling relies on OS keyring (good) but environment variable usage is not consistently validated; user input from interactive setup flows lacks comprehensive validation; and the codebase uses broad exception handling in critical paths. The system's permissions (file I/O, network HTTP, environment variables, process spawning) are reasonable for an ML/AI server that ingests documents and calls LLM APIs, but input validation and error handling should be strengthened. Supply chain analysis found 4 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.
4 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: OPENAI_API_KEY
Environment variable: ANTHROPIC_API_KEY
Environment variable: GEMINI_API_KEY
Environment variable: DARWIN_BASE_DIR
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
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