Crashtestyourstrategy is a remote MCP server that gives an AI agent 16 tools, among them backtest_integrity, challenge_strategy, describe_regime. It answers at https://mcp.crashtestyourstrategy.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 22 October 2026, succeeded.
Portfolio and strategy stress diagnostics with hedge-break detection and regime outlook. Free tier.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
backtest_integrity | Confront a backtest claim with its over-optimism failure modes before trusting it. Given an annualized Sharpe + the number of configurations tried + the backtest window (YYYY-MM-DD), returns: the DEFLATED Sharpe — the expected MAXIMUM Sharp Inputs: annualized_sharpe, n_trials, backtest_start, backtest_end, frequency, skew |
challenge_strategy | Adversarial-evaluation primitive — the semantic integration layer of the platform. Given a strategy identifier, returns a 3-layer analysis: (1) outcome metrics in the worst regimes the strategy was evaluated against, (2) vulnerability profi Inputs: strategy_id |
describe_regime | Single-regime introspection: returns the median behavioural descriptors of a known regime, the z-scores vs the catalogue population (so you can see what makes THIS regime distinct from the average), an English characterisation generated fro Inputs: profile_hint |
factor_decomposition | Reveal HIDDEN risk concentration: a portfolio can be capital-diversified while its RISK is dominated by one factor. Returns the Euler risk-contribution decomposition (RC_i = w_i*(Sigma*w)_i / w'Sigma*w, summing to 1) alongside the capital w Inputs: holdings |
find_similar_regime | Nearest-neighbour retrieval over the cached regime catalogue. Provide EITHER a reference_profile_hint (use that bundle's median descriptors as target) OR a descriptor_target dict (partial spec, missing dimensions are ignored — only the prov Inputs: reference_profile_hint, descriptor_target, asset_filter, top_n |
get_dossier | Compile recorded diagnostic responses into ONE citable record — a proper process documents itself. Every envelope response (MCP and REST) is recorded automatically, keyed by its request_id. Provide explicit request_ids (compiled chronologic Inputs: request_ids, last_n |
get_investment_thesis | Return the complete thesis for `slug`: the economic framework (pillars with [E]/[M]/[K] evidence grades, falsifiers and a deep-dive), the rule-based portfolio (asset blocks × conservative/balanced/offensive weights + sizing rationale), and Inputs: slug |
ips_gate | Check a portfolio against an Investment Policy Statement BEFORE accepting it — the planning step a proper process does FIRST (CFA). Provide holdings + IPS constraints (max_drawdown_tolerance as a fraction e.g. 0.15, time_horizon_years, liqu Inputs: holdings, max_drawdown_tolerance, time_horizon_years, liquidity_need |
list_investment_theses | Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per |
long_horizon_stress | Distribution of multi-year wealth paths for a savings plan (monthly_contribution) or a withdrawal plan (monthly_withdrawal, inflation-indexed by default) on a portfolio from the substrate universe. Multi-year paths chain ~2y model blocks (b Inputs: holdings, horizon_years, initial_investment, monthly_contribution, monthly_withdrawal, target_amount |
market_regime_map | Compressed cross-category map of the current market state in ONE call: for 18 category proxies (US large-cap + tech, the 9 SPDR sectors, developed ex-US, emerging markets, long Treasuries, high-yield credit, gold, oil, Bitcoin) the operatio Inputs: horizon_days |
portfolio_compare | Compare two portfolios (A = reference, B = candidate revision) on IDENTICAL simulated substrate paths — a paired design, so every delta is attributable to the weights, not seed noise. Returns drawdown-distribution deltas (median/worst/quant Inputs: holdings_a, holdings_b |
portfolio_stress_test | Stress a multi-asset portfolio across cross-asset regimes (baseline / risk_off_crisis / rate_shock). Provide `holdings` as a list of {asset, weight}; weights are normalised. Returns, per regime: portfolio return, worst-episode drawdown, a p Inputs: holdings, costs |
regime_outlook | Model-conditional probabilities that an asset is in each market regime (BULL / SIDEWAYS / BEAR / CRISIS, operational trailing-vol/drift labels) after a 5- or 21-trading-day horizon — the probability complement to the conditional stress tool Inputs: asset, horizon_days, as_of |
run_stress_test | Run a buy-and-hold backtest against the synthetic stress regime identified by profile_hint. Returns a structured diagnostic: robustness score (0-100), per-FM-bucket failure-behavior classification with confidence + context, and the resolved Inputs: profile_hint |
submit_feedback | Persist structured improvement feedback about a previous tool response. Provide your agent identity, the request_id you are commenting on, and one or more feedback items each carrying category (from the FeedbackCategory ontology), severity, Inputs: agent_name, feedback_items, overall_confidence, request_id, agent_vendor, session_context |
Every block below points at https://mcp.crashtestyourstrategy.ai/mcp. Pick your client and copy.
claude mcp add --transport http crashtestyourstrategy https://mcp.crashtestyourstrategy.ai/mcp
{
"mcpServers": {
"crashtestyourstrategy": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.crashtestyourstrategy.ai/mcp"]
}
}
}{
"mcpServers": {
"crashtestyourstrategy": {
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"servers": {
"crashtestyourstrategy": {
"type": "http",
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"context_servers": {
"crashtestyourstrategy": {
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"mcpServers": {
"crashtestyourstrategy": {
"serverUrl": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"mcpServers": {
"crashtestyourstrategy": {
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}name: Crashtestyourstrategy
version: 0.0.1
schema: v1
mcpServers:
- name: Crashtestyourstrategy
type: streamable-http
url: https://mcp.crashtestyourstrategy.ai/mcp{
"mcpServers": {
"crashtestyourstrategy": {
"httpUrl": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"mcpServers": {
"crashtestyourstrategy": {
"type": "http",
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}{
"mcpServers": {
"crashtestyourstrategy": {
"url": "https://mcp.crashtestyourstrategy.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.crashtestyourstrategy.ai%2Fmcp&type=streamable_http&id=crashtestyourstrategy&name=Crashtestyourstrategy
It answered our last check on 22 October 2026 in 56 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
16, as returned by the server's own tools/list on 14 September 2026: backtest_integrity, challenge_strategy, describe_regime, factor_decomposition, find_similar_regime, get_dossier, get_investment_thesis, ips_gate, and 8 more.
It answered our last check on 22 October 2026 in 56 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.crashtestyourstrategy.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.fnobbe. Endpoint host: mcp.crashtestyourstrategy.ai. ARD identifier: urn:air:io.github.fnobbe:mcp:crashtestyourstrategy.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.