MCP.Market

Monte-Neo strategy verifier MCP server

by NeoZorK·io.github.NeoZorK/monte-neo·v0.54.0·8 stars

Verify trading-strategy backtests: look-ahead probes, trading costs, Deflated Sharpe, walk-forward.

A85/100grade A
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A85/100

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Adoption
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8 stars121 downloads/wk

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Monte-Neo strategy verifier tools

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How Monte-Neo strategy verifier compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
85/100
higher than 70% of 48,255 servers
GitHub stars
8
more than 86% of 28,688 servers
Downloads a week
121
more than 67% of 12,191 servers with a package

Release history: 8 versions in the registry since 2026-09-26, latest 2026-10-20, typically one every 2 days.

Install Monte-Neo strategy verifier in Claude Code, Cursor or VS Code

claude mcp add monte-neo -- uvx monte-neo
Add to Cursor

What the publisher says

From the Monte-Neo strategy verifier repository's README, as published. We do not edit it. Read it on GitHub

Monte-Neo

<!-- mcp-name: io.github.NeoZorK/monte-neo -->

Verify a trading strategy before you trust it. Look-ahead probes · fee-aware next-bar economics · Deflated Sharpe · MCP server for coding agents MIT · Python 3.11+ · Numba (Metal / MLX optional)

Current: v0.22.0 · Docs site · Verifier API · Agents · Changelog

What this is

Coding agents can now turn a trading idea into a backtest in minutes. Those backtests often fail in the same ways:

  • they read future bars (look-ahead);
  • they ignore fees and slippage;
  • they report the best of hundreds of tried variants.

Monte-Neo is an independent verifier. An agent, a CI job or a human calls it before claiming that a strategy works. It returns a verdict (PASS, PASSWITHWARNINGS, NEEDSMOREEVIDENCE or REJECT), the checks behind it, concrete next_actions and a reproducible strategy-verdict/1 certificate.

$ uv run python examples/verify_quickstart.py
leaky: REJECT  certificate b4dfa9beee5515d2
  lookahead_truncation     lookahead   fail  truncation probe: LEAK DETECTED
  lookahead_perturbation   lookahead   fail  future-perturbation probe: LEAK DETECTED
  lookahead_static_lint    lookahead   fail  static lint: negative_shift
  implausible_accuracy     lookahead   fail  next-bar hit rate 1.000
  net_profitability        economics   fail  net total return -41.26% after costs
  deflated_sharpe          statistics  fail  deflated Sharpe 0.000 over 10 trial(s)
  -> The signal at bar t changes when later bars are removed: compute features only from rows <= t ...
causal: REJECT  certificate cc4c852ef6c99626
  net_profitability        economics   fail  net total return -3.88% after costs
  ...

Both strategies run on a synthetic random walk, so neither has a real edge. The leaky one is caught by all four look-ahead checks. The causal one is never accused of look-ahead: it is rejected only because it loses money after costs.

Works where agents work:

  • MCP server monte-neo-mcp, for Claude Code (plugin), Codex, Gemini CLI, Cursor or any MCP client;
  • CLI with CI exit codes;
  • GitHub Action;
  • Python API.

See Use from agents.

Not a goal: replace live-trading platforms. The verifier checks backtest methodology, not future profit. It is not investment advice.

Why Monte-Neo

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Monte-Neo strategy verifier: common questions

Is Monte-Neo strategy verifier MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Monte-Neo strategy verifier safety report
How do I install Monte-Neo strategy verifier?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Monte-Neo strategy verifier need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Monte-Neo strategy verifier maintained?
The last commit was 39 days ago (2026-09-26). The latest release is v0.54.0.
How does Monte-Neo strategy verifier compare with other MCP servers?
safety score 85/100 (higher than 70% of 48,255 servers); github stars 8 (more than 86% of 28,688 servers); downloads a week 121 (more than 67% of 12,191 servers with a package). Full comparison.