Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.
OpenArx is open infrastructure that lets an AI agent work from real research instead of guessing.
Your agent connects over MCP and can search a corpus of scientific papers by meaning or by keyword, check a claim against the literature and see what supports it and what contradicts it, compare papers side by side, explore a topic as a set of distinct approaches, and read a graph of claims and the typed relations between them. It can also submit its own documents for indexing.
Two roles, selected by the token you connect with:
- researcher — corpus search and read, claim-graph read, and document publishing. The full research loop in one role. - governance — corpus read plus civic participation: initiatives, discussion, voting.
Designed to be used by agents over MCP rather than clicked through as a web app.
Apache 2.0. Public Alpha.
OpenArx is a legitimate, well-documented knowledge graph infrastructure project with appropriate authentication controls and reasonable permissions for its stated purpose. However, several findings warrant attention: environment variables are accessed without explicit validation, API keys are transmitted in Bearer token headers without documented TLS enforcement, and the codebase lacks input validation specifications. The comprehensive methodology framework and role-based access control are strong positives, but operational security practices require clarification.
4 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Once installed, try these example prompts and explore these capabilities:
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