15 tools from the Tradememory Protocol MCP Server, categorised by risk level.
View the Tradememory Protocol policy →check_active_plans Check active trading plans against current market context.
Queries all active prospective plans, expires any past their expiry date,
and matches r... evolution_discover_patterns Discover trading patterns from market data using LLM analysis.
Uses Claude to analyze OHLCV data and generate candidate trading patterns
with entr... evolution_fetch_market_data Fetch OHLCV market data from Binance for evolution analysis.
Downloads historical price bars for backtesting and pattern discovery.
Use this befor... evolution_get_log Get the log of past evolution runs from this session.
Returns a list of all evolution runs with their results, including
graduated strategies, gra... get_agent_state Get the current agent affective state (confidence, risk, drawdown).
Returns confidence level, risk appetite, drawdown percentage,
win/loss streaks... get_behavioral_analysis Get behavioral analysis from procedural memory.
Returns aggregate trading behavior stats: hold times, disposition ratio,
lot sizing variance, and ... get_strategy_performance Get aggregate performance stats per strategy.
Use this to evaluate which strategies are working and which need adjustment.
Args:
strategy_nam... get_trade_reflection Get the full context and reflection for a specific trade.
Use this to deep-dive into a particular trade's reasoning and lessons.
Args:
trade_... recall_memories Recall memories using OWM outcome-weighted scoring.
Queries episodic and semantic memories, scores them by outcome quality,
context similarity, re... recall_similar_trades Find past trades with similar market context.
Use this before making a trade to learn from past experience.
Returns trades with their reflections ... remember_trade Store a trade into OWM multi-layer memory with automatic updates.
Writes to episodic memory and automatically updates semantic (Bayesian),
procedu... evolution_evolve_strategy Run full evolution loop — generate, backtest, select, eliminate.
Multi-generation strategy evolution: generates candidate patterns via LLM,
backte... 3/5 evolution_run_backtest Backtest a candidate pattern against historical OHLCV data.
Takes a pattern dict (from discover_patterns) and runs a vectorized
backtest. Returns ... 3/5 store_trade_memory Store a trade decision with full context into memory.
Call this after executing a trade to build your memory bank.
Include market_context and refl... 3/5 The Tradememory Protocol MCP server exposes 15 tools across 3 categories: Read, Write, Execute.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Tradememory Protocol server.
Tradememory Protocol tools are categorised as Read (11), Write (1), Execute (3). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept