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The Free Chart — Official MCP Server

License: MIT

Official Model Context Protocol (MCP) Server for The Free Chart trading platform.

Connect any AI assistant (Claude Desktop, Cursor, Windsurf, Zed, Antigravity, Open-WebUI, LibreChat) to your trading journal to analyze winrate, monitor risk-to-reward, diagnose psychological biases (FOMO, Revenge Trading), and receive continuous AI trading coaching.


⚡ Quick Setup

1. Claude Desktop

Add to your claude_desktop_config.json:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%/Claude/claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "thefreechart": {
      "command": "python3",
      "args": ["/path/to/thefreechart-mcp/server.py"],
      "env": {
        "THEFREECHART_API_KEY": "YOUR_PERSONAL_API_KEY",
        "THEFREECHART_BASE_URL": "https://manage.thefreechart.com"
      }
    }
  }
}

2. Cursor IDE / Windsurf

  1. Open Cursor Settings -> Features -> MCP Servers.

  2. Click + Add New MCP Server:

    • Name: The Free Chart

    • Type: command

    • Command: python3 /path/to/thefreechart-mcp/server.py

    • Env: THEFREECHART_API_KEY=your_key_here

3. Smithery (1-Click Install)

npx -y @smithery/cli install @thefreechart/mcp --client claude

Related MCP server: Dragonglass TradingView MCP

🛠️ Available Tools

Tool

Type

Description

get_journal_summary

Read

Aggregated performance metrics (Winrate, Net PnL, Profit Factor, Max Drawdown, Avg R:R, Expectancy).

get_trade_breakdown

Read

Dynamic grouping by day_of_week, hour_of_day, direction, symbol, setup_tag, mistake_tag, emotion_tag, duration_bracket.

search_trades_compact

Read

High-speed columnar trade search (< 10 KB per 100 trades) with filtering.

get_trade_detail

Read

Single trade deep dive (executions, SL, TP, planned risk, notes, chart replay URL).

get_daily_reflections

Read

Retrieve trader's daily mood, pre-market plan, and end-of-day recaps.

tag_trade_mistake_or_setup

Write (Action)

AI automatically tags a trade with mistakes (#FOMO, #EarlyExit) or setups (#LiquiditySweep).

save_ai_coaching_note

Write (Action)

AI saves structured coaching advice directly into the user's trade note.

create_daily_reflection

Write (Action)

AI saves daily lessons and recap into the user's Daily Journal.


💬 Example Prompt Starters

  • Daily Review: "Review my trades today, check if I broke any risk rules, tag mistakes and write a coaching review."

  • Psychology Audit: "Analyze my trading for this week. Which day was most profitable, and which mistake cost me the most money?"

  • Setup Evaluation: "Compare the winrate and average R:R of my setups over the past 30 days."


📄 License

MIT License. © The Free Chart.

A
license - permissive license
Not graded
quality - not tested
C
maintenance

Maintenance

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Commit activity

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