TradingView Backtest Assistant”

★ 5

from vtlk

exposes a remote MCP endpoint so agents can: run strategy backtests by symbol/timeframe/date range, pass strategy inputs programmatically,receive structured backtest results (trades, win rate, profit, drawdown).

🔥🔥🔥✓ VerifiedFreeQuick setup

#finance

Backtesting engine for your AI Agent with PineScript support for TradingView usage

TV PineScript Backtest MCP

Production-ready MCP server for running TradingView Pine Script strategy backtests (Binance data) from AI agents.

Overview • Connect • Supported Agents • Troubleshooting • Get API Key • Website

Quick Overview

tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can:

run strategy backtests by symbol/timeframe/date range,
pass strategy inputs programmatically,
receive structured backtest results (trades, win rate, profit, drawdown),
keep long-running runs observable via progress notifications,
support Binance Futures tickers only,
enforce a maximum of 1440 candles per backtest,
apply a rate limit of 3 backtests per minute per user,
ask your agent to write a strategy and backtest it.

Connect To Your Agent

Get API key: https://backtest-engine-mcp.click/dashboard

You need:

Your MCP server URL (https://backtest-engine-mcp.click/mcp/backtest)
Your API key (Bearer token)

Use HTTP transport and pass the API key in Authorization: Bearer <API_KEY>.

Supported Agents

Claude Code

CLI:

claude mcp add --transport http tvmcp https://backtest-engine-mcp.click/mcp/backtest --header "Authorization: Bearer <API_KEY>"

Project file (.mcp.json):

{
  "mcpServers": {
    "tvmcp": {
      "type": "http",
      "url": "https://backtest-engine-mcp.click/mcp/backtest",
      "headers": {
        "Authorization": "Bearer <API_KEY>"
      }
    }
  }
}

OpenCode

opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "tvmcp": {
      "type": "remote",
      "url": "https://backtest-engine-mcp.click/mcp/backtest",
      "oauth": false,
      "headers": {
        "Authorization": "Bearer <API_KEY>"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json (or ~/.cursor/mcp.json globally):

{
  "mcpServers": {
    "tvmcp": {
      "url": "https://backtest-engine-mcp.click/mcp/backtest",
      "headers": {
        "Authorization": "Bearer <API_KEY>"
      }
    }
  }
}

Note: the same MCP configuration is used by cursor-agent CLI.

Codex

Add to ~/.codex/config.toml (or .codex/config.toml in a trusted project):

[mcp_servers.tvmcp]
url = "https://backtest-engine-mcp.click/mcp/backtest"
http_headers = { Authorization = "Bearer <API_KEY>" }

Note: Codex CLI and IDE extension share the same config.toml.

VS Code

Open MCP configuration (.vscode/mcp.json or user mcp.json) and add:

{
  "servers": {
    "tvmcp": {
      "type": "http",
      "url": "https://backtest-engine-mcp.click/mcp/backtest",
      "headers": {
        "Authorization": "Bearer <API_KEY>"
      }
    }
  }
}

If needed, use Command Palette: MCP: Open User Configuration.

Minimal Test Prompt

Try these prompts with your agent:

Optimize my strategy: <pinescript code>

Optimize my strategy from file: sma20.pine

Find a strategy on the internet and backtest it using the tvmcp backtest tool.

Backtest my strategy on BTCUSDT 1h from 2026-03-01 to 2026-03-10, Pine code:
//@version...