Vlab Mcp
Volatility, SRISK, CRISK, liquidity and climate data from NYU Stern's V-Lab, with model forecasts.
- Transport
- Not stated
- Package
- —
- Registry id
- io.github.volatility/vlab-mcp
No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
V-Lab's research-grade risk data now responds to the AI assistant you already use, including volatility, SRISK, liquidity, climate benchmarks, and more. Each tool corresponds to a published V-Lab measure such as GARCH, SRISK, CRISK, and COVOL. The measures are built on peer-reviewed research from the Volatility and Risk Institute at NYU Stern.
V-Lab MCP is free and open to anyone, requiring no NYU affiliation. Users can query V-Lab in plain English. OAuth handles authentication, meaning no API key is needed for most clients.
It connects to multiple AI assistants including Claude, ChatGPT, Cursor, and VS Code.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.