// MCP TOOL REFERENCE

PYPI:TRADEMEMORY PROTOCOL TOOLS

15 tools from the Pypi:tradememory Protocol MCP Server, categorised by risk level.

View the Pypi:tradememory Protocol policy → Token cost: 2,929 tokens →

// ALL 15 PYPI:TRADEMEMORY PROTOCOL TOOLS

READ 11 tools

Read check_active_plans Check active trading plans against current market context. Queries all active prospective plans, expires a... Read evolution_discover_patterns Discover trading patterns from market data using LLM analysis. Uses Claude to analyze OHLCV data and gener... Read evolution_fetch_market_data Fetch OHLCV market data from Binance for evolution analysis. Downloads historical price bars for backtesti... Read evolution_get_log Get the log of past evolution runs from this session. Returns a list of all evolution runs with their resu... Read get_agent_state Get the current agent affective state (confidence, risk, drawdown). Returns confidence level, risk appetit... Read get_behavioral_analysis Get behavioral analysis from procedural memory. Returns aggregate trading behavior stats: hold times, disp... Read get_strategy_performance Get aggregate performance stats per strategy. Use this to evaluate which strategies are working and which ... Read get_trade_reflection Get the full context and reflection for a specific trade. Use this to deep-dive into a particular trade's ... Read recall_memories Recall memories using OWM outcome-weighted scoring. Queries episodic and semantic memories, scores them by... Read recall_similar_trades Find past trades with similar market context. Use this before making a trade to learn from past experience... Read remember_trade Store a trade into OWM multi-layer memory with automatic updates. Writes to episodic memory and automatica...

WRITE 1 tools

Write create_trading_plan Create a prospective trading plan that activates when conditions are met. Stores a rule-based plan in pros...

EXECUTE 3 tools

Execute evolution_evolve_strategy Run full evolution loop — generate, backtest, select, eliminate. Multi-generation strategy evolution: gene... Execute evolution_run_backtest Backtest a candidate pattern against historical OHLCV data. Takes a pattern dict (from discover_patterns) ... Execute store_trade_memory Store a trade decision with full context into memory. Call this after executing a trade to build your memo...

// RUNNING THIS SERVER

The managed route: connect Pypi:tradememory Protocol through the PolicyLayer gateway — every tool call above is checked against your policy before it runs, with a full audit log.

DIRECT INSTALL (UNMANAGED) npx -y pypi:tradememory-protocol

// FAQ

How many tools does the Pypi:tradememory Protocol MCP server have? +

The Pypi:tradememory Protocol MCP server exposes 15 tools across 3 categories: Read, Write, Execute.

How do I enforce policies on Pypi:tradememory Protocol tools? +

Route the Pypi:tradememory Protocol server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard — they are enforced on every call before it reaches the server.

What risk categories do Pypi:tradememory Protocol tools fall into? +

Pypi:tradememory Protocol tools are categorised as Read (11), Write (1), Execute (3). Each category has a recommended default policy.

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