MCP

MCP Interface · Connect AI Clients to Typed Research Tools

Use a compatible MCP client to request research operations, inspect tool inputs and results, and keep approval with the user.

What is MCP?

Model Context Protocol (MCP) lets compatible AI clients request structured tool calls. StratCraft exposes typed research tools while preserving operation boundaries, evidence, and user control.

Example Commands

Example research requests whose execution remains subject to tool contracts and user approval.

  • Run a backtest on AAPL with RSI-14 strategy from 2020 to 2024
  • List my top 10 strategies sorted by Sharpe ratio
  • Draft momentum candidates, then ask me before starting a backtest
  • Show me which strategies have Sharpe above 1.5 and max drawdown below 15%
  • Compare reviewed candidates with a transparent baseline and save the evidence

MCP Tool Calls

MCP
# Claude can call StratCraft as a tool
run_backtest(
  strategy="rsi_14",
  symbol="AAPL",
  period="2020-2024"
)

list_strategies(
  sort_by="sharpe",
  limit=10
)

generate_strategy(
  description="momentum + mean reversion hybrid"
)

compose_portfolio(
  method="frankwolfe",
  top_n=50
)

Compatible MCP Clients

Compatibility depends on the client and the enabled local tool contracts.

Claude (Anthropic)
GPT-4 (OpenAI)
Gemini (Google)
Local LLMs via Ollama

Setup

Configure a compatible MCP client for the local server.

Point the client at the local StratCraft MCP server and review the enabled tools and permissions before invoking research operations.

Начните свою фабрику сигналов

Уровень бесплатного пользования включает механизм бэктестинга C++, обнаружение режима и данные YFinance + Dukascopy: все, что вам нужно, чтобы начать масштабное строительство.