Aurora is a Model Context Protocol (MCP) server: Glass-box statistical analysis for agents: 19 methods, cited findings, measured error rates. In practice that means any MCP-compatible AI assistant can call Aurora's tools directly — the model decides when to use them in a conversation or agent run.
It runs locally: the Python package aurora-mcp (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.10.0, published under the Apache-2.0 license, with source at FantasyLab-ai/aurora on GitHub.
Aurora is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Aurora for FantasyLab-ai, claim this listing to verify ownership, earn the Verified badge, and keep the details current.