System R Risk Intelligence
Wire pre-trade G-formula and Iron Fist checks into autonomous trading agents before orders leave your strategy.
Overview
System R Risk Intelligence is a MCP server for the Ship phase that validates trades and sizes positions for AI trading agents using G-formula and Iron Fist.
What is this MCP server?
- Pre-trade risk validation API for AI trading agents
- Position sizing via G-formula methodology
- Iron Fist enforcement layer for trade constraints
- Remote streamable-http and SSE at agents.systemr.ai plus PyPI stdio package
- X-API-Key registration at agents.systemr.ai/v1/agents/register
- Server version 1.1.0; PyPI package systemr 1.0.2 with stdio transport
- Two remote endpoints (streamable-http and SSE) on https://agents.systemr.ai/mcp/sse
Community signal: 1 GitHub stars.
What problem does it solve?
Autonomous trading agents can fire orders faster than you can manually double-check sizing and risk limits.
Who is it for?
Solo builders wiring Claude Code or custom agents into System R with mandatory pre-trade checks.
Skip if: Builders who only need portfolio analytics or post-trade reporting without live execution gates.
What do I get? / Deliverables
Your agent calls MCP tools for structured pre-trade approval and position sizing before capital hits the market.
- Agent-callable pre-trade risk validation responses
- G-formula position sizing recommendations aligned to Iron Fist rules
- Repeatable MCP wiring for local or hosted agent stacks
Recommended MCP Servers
Journey fit
How it compares
Pre-trade risk MCP integration, not a generic market-data or backtesting skill.
Common Questions / FAQ
Who is System R Risk Intelligence for?
Indie and solo developers building AI trading agents who want agent-callable risk validation instead of ad hoc scripts.
When should I use System R Risk Intelligence?
Use it immediately before your agent submits or simulates orders whenever G-formula sizing and Iron Fist rules must run every time.
How do I add System R Risk Intelligence to my agent?
Register at agents.systemr.ai, set X-API-Key on the streamable-http or SSE remote URL, or install the systemr PyPI package for stdio MCP.