thefreechart-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@thefreechart-mcpReview my trades this week and flag any FOMO or revenge trading patterns."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
The Free Chart — Official MCP Server
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.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.jsonLinux:
~/.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
Open Cursor Settings -> Features -> MCP Servers.
Click + Add New MCP Server:
Name:
The Free ChartType:
commandCommand:
python3 /path/to/thefreechart-mcp/server.pyEnv:
THEFREECHART_API_KEY=your_key_here
3. Smithery (1-Click Install)
npx -y @smithery/cli install @thefreechart/mcp --client claudeRelated MCP server: Dragonglass TradingView MCP
🛠️ Available Tools
Tool | Type | Description |
| Read | Aggregated performance metrics (Winrate, Net PnL, Profit Factor, Max Drawdown, Avg R:R, Expectancy). |
| Read | Dynamic grouping by |
| Read | High-speed columnar trade search (< 10 KB per 100 trades) with filtering. |
| Read | Single trade deep dive (executions, SL, TP, planned risk, notes, chart replay URL). |
| Read | Retrieve trader's daily mood, pre-market plan, and end-of-day recaps. |
| Write (Action) | AI automatically tags a trade with mistakes ( |
| Write (Action) | AI saves structured coaching advice directly into the user's trade note. |
| 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.
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