Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
MCP server for natural-language daily stock/ETF strategy backtesting. It provides constrained tools for strategy specification, data validation, queue-based backtests, and verifiable result artifacts.
An MCP server that exposes trading analytics — technical indicators, portfolio state, risk metrics, and backtest results — as tools an LLM agent can call.
An MCP server that exposes the Jesse algorithmic trading framework's capabilities to LLM agents for backtesting, optimization, and risk analysis. It provides 32 specialized tools for managing trading strategies and performing comprehensive market simulations via the Jesse REST API.
MCP server that provides AI agents with financial tools including real-time quotes, backtesting, technical analysis, and multi-exchange data via a simple CLI interface.
MCP server for CPZAI platform, enabling AI agents to manage trading strategies, run backtests, route orders across brokers, and access portfolios, risk analytics, and market data through natural language.