Query volatility, systemic risk (SRISK), correlation risk (CRISK), liquidity, and climate-risk metrics from NYU Stern's V-Lab. Built for researchers, risk analysts, and developers integrating financial risk data into applications.
io.github.volatility/vlab-mcp
https://vlab.stern.nyu.edu/mcp
HTTP
No auth required
How models use it and what it is built for.
Query volatility, systemic risk (SRISK), correlation risk (CRISK), liquidity, and climate-risk metrics from NYU Stern's V-Lab. Built for researchers, risk analysts, and developers integrating financial risk data into applications.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for V-Lab.
Paste any of these into Agent Studio after connecting V-Lab.
Common questions about connecting and running V-Lab.
What data does the V-Lab MCP server provide?
The server provides access to volatility, SRISK (systemic risk), CRISK (correlation risk), liquidity metrics, and climate-risk data from NYU Stern's V-Lab. These are updated regularly and used by researchers and risk professionals.
How do I connect to the V-Lab MCP server?
The server is hosted at https://vlab.stern.nyu.edu/mcp and uses HTTP transport. You can connect via any MCP-compatible client by pointing it to this endpoint.
Is there authentication required to use V-Lab data?
Check the V-Lab documentation at https://vlab.stern.nyu.edu for authentication requirements and API key setup. Some data may be publicly available while other datasets may require registration.
What is SRISK and why should I care about it?
SRISK measures a financial institution's systemic risk contribution—how much capital it would need in a crisis. It's essential for portfolio risk assessment and regulatory compliance monitoring.
Can I use V-Lab data for real-time trading or production systems?
V-Lab data is designed for research and risk analysis. Review the terms of service and data freshness guarantees at https://vlab.stern.nyu.edu before using in production systems.
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