iflow-mcp_bidouilles_mcp-tradingview-server 0.1.0

MCP server for TradingView indicators using tradingview_scraper

MCP TradingView Server

FastMCP v2 server that exposes TradingView technical indicators and OHLCV data through the tradingview_scraper library. The mcp-tradingview console entry powers Claude Desktop or any MCP-aware client.

Quick Start

Automated Setup (Recommended)

1. Install uv and Python 3.11+
2. Run the setup script: ./setup.sh
   • Installs dependencies and creates virtual environment
   • Automatically configures Claude Desktop with the MCP server
3. Restart Claude Desktop to load the new configuration

Manual Setup

1. Install uv and Python 3.11+
2. uv venv --python 3.11 && source .venv/bin/activate
3. uv pip install -e .
4. Configure Claude Desktop (see below)

Running

• Stdio (Claude default): uv run mcp-tradingview
• SSE service: uv run mcp-tradingview --transport sse --host 0.0.0.0 --port 8000
• HTTP service: uv run mcp-tradingview --transport http --host 0.0.0.0 --port 8000 --path /mcp

FASTMCP_HOST, FASTMCP_PORT, and FASTMCP_PATH environment variables override the bind settings when present.

Tools

• get_indicators(symbol, exchange="BINANCE", timeframe="1h", all_indicators=True, export_result=False) – full TradingView indicator snapshot; returns success, symbol, exchange, timeframe, and an indicators mapping.
• get_specific_indicators(symbol, indicators, exchange="BINANCE", timeframe="1h", export_result=False) – filters the full snapshot to requested keys (case-insensitive) and echoes requested_indicators.
• get_historical_data(symbol, exchange="BINANCE", timeframe="1h", max_records=100, export_result=False) – streams OHLCV candles via Streamer, returning records_collected, data, and optional export_file.

Resources & Exports

• Resource indicators/{symbol} emits a formatted indicator report using get_indicators defaults.
• When export_result=True, JSON payloads are written to export/; keep large archives out of version control.

Claude Desktop

Add the server to claude_desktop_config.json. Here are the recommended configurations:

Using Claude Code CLI (Easiest)

claude mcp add tradingview -- uvx --from /absolute/path/to/mcp-tradingview-server mcp-tradingview

Or with uv run:

claude mcp add tradingview -- uv run mcp-tradingview --cwd /absolute/path/to/mcp-tradingview-server

Manual Configuration

Stdio Transport (Recommended)

{
  "mcpServers": {
    "tradingview": {
      "command": "uvx",
      "args": ["--from", "/absolute/path/to/mcp-tradingview-server", "mcp-tradingview"]
    }
  }
}

Alternative with uv run:

{
  "mcpServers": {
    "tradingview": {
      "command": "uv",
      "args": ["run", "mcp-tradingview"],
      "cwd": "/absolute/path/to/mcp-tradingview-server"
    }
  }
}

HTTP Transport

{
  "mcpServers": {
    "tradingview": {
      "command": "uv",
      "args": ["run", "mcp-tradingview", "--transport", "http", "--host", "0.0.0.0", "--port", "8001", "--path", "/mcp"],
      "cwd": "/absolute/path/to/mcp-tradingview-server"
    }
  }
}

Restart Claude Desktop after updating the configuration. The bundled CLAUDE.md provides extra guidance the model can reference while chatting.

Development

• uv run pytest executes the asynchronous test suite in test_server.py.
• Use logging.getLogger(__name__) for diagnostics; avoid printing secrets.
• Refer to export/ for captured fixtures when updating tests or documentation.

License

This project is provided as-is for educational and research purposes.