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Tradememory Protocol MCP server

by mnemox-ai·io.github.mnemox-ai/tradememory-protocol·v0.5.5

Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.

B83/100grade B
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B83/100

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Tradememory Protocol tools (20, 3 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • check_active_plans

    Check active trading plans against current market context.

  • check_trade_legitimacy

    Check if the agent has sufficient data and confidence to trade.

  • compute_dqs

    Compute Decision Quality Score before executing a trade.

  • create_trading_planwrite action

    Create a prospective trading plan that activates when conditions are met.

  • evolution_discover_patterns

    Discover trading patterns from market data using LLM analysis.

  • evolution_evolve_strategywrite action

    Run full evolution loop — generate, backtest, select, eliminate.

  • evolution_fetch_market_data

    Fetch OHLCV market data from Binance for evolution analysis.

  • evolution_get_log

    Get the log of past evolution runs from this session.

  • evolution_run_backtestwrite action

    Backtest a candidate pattern against historical OHLCV data.

  • export_audit_trail

    Export Trading Decision Records for audit and compliance review.

  • get_agent_state

    Get the current agent affective state (confidence, risk, drawdown).

  • get_behavioral_analysis

    Get behavioral analysis from procedural memory.

  • get_daily_root

    Get (or rebuild) the daily Merkle root for a UTC date.

  • get_strategy_performance

    Get aggregate performance stats per strategy.

  • get_trade_reflection

    Get the full context and reflection for a specific trade.

  • recall_memories

    Recall memories using OWM outcome-weighted scoring.

  • remember_trade

    Store a trade into OWM multi-layer memory with automatic updates.

  • validate_strategy

    Validate a trading strategy using statistical tests (DSR + Walk-Forward + Regime + CPCV).

  • verify_audit_chain

    Verify the integrity of the audit chain.

  • verify_audit_hash

    Verify the integrity of a Trading Decision Record.

Public scan report

scanner v0.1.9 · 2026-09-19 · same rubric, same numbers if you re-run it

1 medium
  • Code scan100 source files scanned20/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 6 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10

Findings (1)

  • mediumsubprocess with shell=Trueexec.shell-true
    tradememory_protocol-0.5.5/src/tradememory/onboarding/setup_wizard.py: …_install_cmd"], shell=True, capture_output…
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add tradememory-protocol -- uvx tradememory-protocol
Add to Cursor

Tradememory Protocol: common questions

Is Tradememory Protocol MCP server safe?
Mostly: it is graded B (83/100). Read the Tradememory Protocol safety report
How do I install Tradememory Protocol?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Tradememory Protocol need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Tradememory Protocol maintained?
The last commit was 6 days ago (2026-09-14). The latest release is v0.5.5.
What can I use instead of Tradememory Protocol?
Servers from other publishers that do the same job: Vaara MCP Server, State Memory MCP server and Mnemoverse Memory MCP server. Compare all Tradememory Protocol alternatives.

Alternatives to Tradememory Protocol

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  • Mnemoverse Memory
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  • Adr Analysis
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