Monte Carlo Backtest Validator MCP server
not respondingBootstrap Monte Carlo backtest validation and prop-firm challenge pass-probability simulation.
0 stars
Reviews
Write oneNobody has reviewed Monte Carlo Backtest Validator yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Monte Carlo Backtest Validator tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.10 · 2026-10-28 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote unreachable: HTTP 5000/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityno auth information5/15
- Maintenancelast push 93 days ago8/15
- Maintainer identityregistry namespace matches repository owner6/10
Findings (1)
- highRemote endpoint did not respond
reliability.unreachableHTTP 500
How Monte Carlo Backtest Validator compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 32/100
- higher than 6% of 48,255 servers
- Uptime
- 18%
- of our recent checks; the typical remote server answers 100%
- Response time
- 406 ms
- faster than 36% of 30,031 servers
Install Monte Carlo Backtest Validator in Claude Code, Cursor or VS Code
claude mcp add --transport http montecarlo-validator-mcp https://montecarlo-validator-mcp.mcpize.run/mcp
What the publisher says
From the Monte Carlo Backtest Validator repository's README, as published. We do not edit it. Read it on GitHub
montecarlo-validator-mcp
An MCP server that statistically validates whether a backtest's edge is real, using bootstrap-resampling and reshuffling Monte Carlo methodology, plus prop-firm-specific pass-probability simulation.
The problem this solves
A single backtest equity curve tells you what happened on one path through history — it doesn't tell you how likely that result was to happen by chance, or what the range of plausible outcomes looks like on the next set of trades. This wraps the actual statistical validation (bootstrap confidence intervals, drawdown-path percentiles, challenge pass-probability simulation) instead of eyeballing one curve.
Tools
montecarlovalidate
Bootstrap 90% confidence interval on per-trade expected value (flags when the interval includes zero), plus drawdown-path percentiles via reshuffling.
expectedvaluecalculator
Per-trade EV from win rate, average win, and average loss.
propfirmpass_probability
Simulates challenge pass probability from win-rate/risk-reward/target/drawdown-limit inputs.
riskgeometrycomparator
Ranks multiple win-rate/risk-reward geometries by simulated pass rate — surfaces that tight, high-win-rate setups often out-pass high-RR/low-win-rate setups on a fixed-target challenge, independent of raw expected value.
Use it
Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.
Self-host:
npm install
node server.jsPart of the AlgoForge suite
Prop-firm and quant-validation tools for algo traders: prop-rules-mcp, trade-journal-mcp, payout-calc-mcp, econ-calendar-mcp, overfitting-audit-mcp, walkforward-validator-mcp, pinescript-audit-mcp, backtest-cost-sensitivity-mcp, pinescript-mcp.
License
MIT
Nothing above is checked by us. What we check is on the safety report.
Grade history
- 2026-10-28revokeA → Fscore 32: Remote endpoint did not respond
Monte Carlo Backtest Validator: common questions
- Is Monte Carlo Backtest Validator MCP server safe?
- No: it is graded F and blocked at the gateway (32/100). Read the Monte Carlo Backtest Validator safety report
- How do I install Monte Carlo Backtest Validator?
- It runs remotely at montecarlo-validator-mcp.mcpize.run. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Monte Carlo Backtest Validator need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Monte Carlo Backtest Validator maintained?
- The last commit was 100 days ago (2026-07-27). The latest release is v1.0.0.
- Is Monte Carlo Backtest Validator up?
- 18% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Monte Carlo Backtest Validator compare with other MCP servers?
- safety score 32/100 (higher than 6% of 48,255 servers); uptime 18% (of our recent checks; the typical remote server answers 100%); response time 406 ms (faster than 36% of 30,031 servers). Full comparison.