CrashTestYourStrategy
Portfolio & trading-strategy stress diagnostics for AI agents: multi-asset stress with hedge-break detection, a daily preregistered regime outlook and deflated-Sharpe backtest-integrity checks. Remote streamable-HTTP endpoint with a free tier (no key); this repo is the public server card.
README
CrashTestYourStrategy — MCP Server
Remote MCP server for portfolio & trading-strategy stress diagnostics. Free tier — no key, no signup. Descriptive, never advisory.
https://mcp.crashtestyourstrategy.ai/mcp
Listed in the official MCP registry as
io.github.fnobbe/crashtestyourstrategy. This repository is the public server card —
the service itself is closed-source; everything an agent (or a reviewer) needs to
verify behaviour is linked below.
Quick start
Claude Code:
claude mcp add --transport http ctys https://mcp.crashtestyourstrategy.ai/mcp
Generic MCP client config (streamable HTTP):
{
"mcpServers": {
"ctys": {
"type": "streamable-http",
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}
claude.ai: Settings → Connectors → Add custom connector with the URL above.
The free tier is rate-limited per IP (30 req/min). No account, no key.
What it does
An open diagnostics layer that confronts a proposed portfolio or trading strategy with the failure modes an optimistic backtest ignores — hedge breaks (the 2022 stock-bond case), sequence-of-returns risk, regime blind spots, deflated Sharpe.
Free tier (16 tools)
| Group | Tools |
|---|---|
| Portfolio | portfolio_stress_test (multi-asset stress across baseline / risk-off / rate-shock regimes, hedge-break detection, full drawdown distribution) · portfolio_compare · factor_decomposition · ips_gate (hard gate vs an Investment Policy Statement, breach probability not median path) · long_horizon_stress (multi-year savings/withdrawal plans, ruin probabilities) |
| Strategy | run_stress_test · challenge_strategy · backtest_integrity (deflated Sharpe + which crisis regimes the backtest window missed) |
| Regimes | regime_outlook (model-conditional BULL/SIDEWAYS/BEAR/CRISIS probabilities at 5/21 trading days — preregistered, out-of-sample validated, refreshed daily) · market_regime_map (18-category cross-asset map) · describe_regime · find_similar_regime |
| Record & catalog | list_investment_theses · get_investment_thesis · get_dossier (citable audit trail of prior calls) · submit_feedback |
Full tier (token via contact):
tier2_stress_test (stress any ticker with auto-calibration + realism gate),
build_portfolio, portfolio_frontier.
Response contract
Every response is a versioned envelope (ctys-agent-v1 family) carrying:
grounding_summary— a risk-focused factual statement of the omitted tailrevision_required— a gate-capable signal (never a directive)methodological_limitations— required disclosure of what the diagnostic does NOT establishdata_through/data_staleness_days— self-reported data freshness (EOD, refreshed daily)
validation:// resources expose the realism trust layer: 18 measured stylized facts
per asset vs historical reference bands — the falsifiability surface. Recompute
locally; trust by independent reproduction.
Scope & compliance
Model-based scenario simulation. Descriptive, never advisory: no suitability, timing, or ranking claim is made or implied — the agent decides what "suitable" means. Out-of-sample limits are disclosed, not hidden (e.g. the GFC hedge-behaviour test failed and ships as a documented limitation).
Links
- Capability declaration: https://crashtestyourstrategy.com/interop (JSON: /interop.json)
- Methodology: https://crashtestyourstrategy.com/methodology
- Weekly market-regime outlook (citable, auto-generated): https://crashtestyourstrategy.com/outlook
- Failure-mode ontology: https://crashtestyourstrategy.com/ontology
- llms.txt: https://crashtestyourstrategy.com/llms.txt
- Smithery listing: https://smithery.ai/servers/nobbefrederic/crashtestyourstrategy
Maintainer: @fnobbe · Operator contact: https://crashtestyourstrategy.com/contact
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。