Quantrisk
Hook portfolio risk questions—VaR, Monte Carlo, stress tests—into your agent when you model personal or product-adjacent investments.
Overview
QuantRisk is a MCP server for the Grow phase that provides portfolio risk analytics including VaR, Monte Carlo, and stress testing via MCP tools.
What is this MCP server?
- @quantrisk/mcp-server npm package version 1.0.3 over stdio
- Portfolio risk analytics including VaR and Monte Carlo simulation
- Stress testing workflows exposed as MCP tools
- Backed by 78degrees mcp-server repository
- Requires YOUR_API_KEY for QuantRisk API access
- npm identifier @quantrisk/mcp-server version 1.0.3
- stdio transport in registry package
- Three headline capability areas: VaR, Monte Carlo, stress testing
Community signal: 2 GitHub stars.
What problem does it solve?
Spreadsheet risk models break when you want quick VaR or stress scenarios while discussing strategy inside your coding agent.
Who is it for?
Solo builders or micro-funds who already use QuantRisk and want MCP access to VaR, Monte Carlo, and stress tests.
Skip if: Beginners who only need basic budgeting, or teams requiring licensed investment advisory tooling without QuantRisk API access.
What do I get? / Deliverables
Your agent can call QuantRisk MCP tools for portfolio analytics so scenarios stay in one conversational workflow with an API key.
- MCP-accessible VaR, Monte Carlo, and stress test calls
- Agent-assisted portfolio risk narratives
- Repeatable quant workflows without leaving the IDE
Recommended MCP Servers
Journey fit
Solo builders often compound via investments or treasury decisions after launch; grow analytics fits quant risk review cycles. Analytics subphase covers measurement and scenario modeling rather than day-to-day trading execution.
How it compares
Finance analytics MCP bridge, not a trading bot skill or generic spreadsheet plugin.
Common Questions / FAQ
Who is QuantRisk MCP for?
Developers and solo operators who use QuantRisk for portfolio analytics and want those models inside Claude Code, Cursor, or similar MCP clients.
When should I use QuantRisk MCP?
Use it when reviewing portfolio risk, running Monte Carlo or stress scenarios, or preparing quantitative narratives during grow-phase planning.
How do I add QuantRisk MCP to my agent?
Install @quantrisk/mcp-server, configure YOUR_API_KEY, and register the stdio MCP server in your agent’s MCP configuration.