Skip to main content
Glama

pinescript-mcp

License: MIT Live on MCPize

An MCP server that generates Pine Script v6 strategy code for prop-firm futures traders from a plain-language description, AI-powered.

What it does

Describe a strategy idea in plain language — entry/exit logic, indicators, timeframe, instrument — and get back working Pine Script v6 code, written with prop-firm evaluation constraints in mind (position sizing, session filters, drawdown-aware exits) rather than generic retail-strategy boilerplate.

Related MCP server: PineScript MCP Server

Use it

Hosted (recommended): MCPize — free tier, paid Pro tier for higher limits.

Self-host:

npm install
cp .env.example .env   # add your own GROQ_API_KEY
npm start

Part of the AlgoForge suite

Prop-firm and quant-validation tools for algo traders: prop-rules-mcp, trade-journal-mcp, payout-calc-mcp, econ-calendar-mcp, montecarlo-validator-mcp, overfitting-audit-mcp, walkforward-validator-mcp, pinescript-audit-mcp, backtest-cost-sensitivity-mcp.

License

MIT

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    Provides comprehensive Pine Script v6 documentation and tools to help AI assistants look up functions, validate syntax, and generate accurate code. It enables linting, version conversion from v5 to v6, and deep conceptual analysis to prevent code hallucinations.
    10
    9
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables creation, optimization, and management of PineScript trading strategies with Claude Desktop integration for AI-assisted development.
    26 npm
    105
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Backtest PineScript v6 strategies locally from your AI agent: transpiles Pine to C++ and runs it on the deterministic, TradingView-validated PineForge engine via Docker. Tools for single backtests, parameter-grid sweeps, and Binance OHLCV fetch — no API key, data never leaves your machine.
    11
    56 npm
    7
    MIT