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mcp-monte-carlo

Enables AI agents to forecast asset price paths using Monte Carlo simulation with EGARCH volatility and skewed-t shocks, providing risk metrics and percentiles.

Score
29.0132 signals
Evidence
1 star · 1 fork
Last commit
as last read from GitHub; most reads are from 2 Sep 2026 or later
Listed

Install

No one-command install. Set it up from its source.

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What it is

Enables AI agents to forecast asset price paths using Monte Carlo simulation with EGARCH volatility and skewed-t shocks, providing risk metrics and percentiles.

When to use it

Enables AI agents to forecast asset price paths using Monte Carlo simulation with EGARCH volatility and skewed-t shocks, providing risk metrics and percentiles.

How to install / invoke

See Glama for the install config.

Notes

Listed from the Glama MCP registry.