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ultimate_mcp_server vs tradingview-chart-mcp

Side-by-side comparison to help you pick between these two MCP servers.

ultimate_mcp_server
by Dicklesworthstone
tradingview-chart-mcp
by ertugrul59
Stars★ 149★ 93
30d uses
Score8547
Official
Categories
AI / LLM ToolsBrowser AutomationFile System
Web ScrapingFinanceAI / LLM Tools
LanguagePythonPython
Last commit2 mo ago2 mo ago

ultimate_mcp_server · Summary

Comprehensive MCP server providing dozens of capabilities for AI agents including LLM delegation, browser automation, document processing, and cognitive memory systems.

tradingview-chart-mcp · Summary

MCP server that captures TradingView chart images via Selenium with browser pooling for concurrent performance.

ultimate_mcp_server · Use cases

  • Complex document processing and analysis with OCR and structured data extraction
  • Web automation and research across multiple sites with browser control
  • Cost-optimized AI workflows through intelligent task delegation between models

tradingview-chart-mcp · Use cases

  • Financial analysis platforms that need to display real-time TradingView charts
  • AI assistants providing market insights with visual chart data
  • Automated trading systems requiring chart image capture

ultimate_mcp_server · Install

Installation

  1. Clone the repository:
git clone https://github.com/Dicklesworthstone/ultimate_mcp_server.git
cd ultimate_mcp_server
  1. Install dependencies:
pip install -e .
  1. For Claude Desktop integration, add to your claude_desktop_config.json:
{
  "mcpServers": {
    "ultimate-mcp": {
      "command": "python",
      "args": ["-m", "ultimate_mcp_server"],
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}
  1. Run the server:
python -m ultimate_mcp_server

tradingview-chart-mcp · Install

Installation

  1. Clone the repository:
git clone https://github.com/ertugrul59/tradingview-chart-mcp
cd tradingview-chart-mcp
  1. Create and activate virtual environment:
python3 -m venv .venv
source .venv/bin/activate  # macOS/Linux
.venv\Scripts\activate  # Windows
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure environment variables:
  • Copy .env.example to .env
  • Add your TradingView credentials (TRADINGVIEW_SESSION_ID and TRADINGVIEW_SESSION_ID_SIGN)

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "tradingview-chart-mcp": {
      "command": "/path/to/tradingview-chart-mcp/.venv/bin/python3",
      "args": ["/path/to/tradingview-chart-mcp/main.py"],
      "env": {
        "TRADINGVIEW_SESSION_ID": "YOUR_SESSION_ID_HERE",
        "TRADINGVIEW_SESSION_ID_SIGN": "YOUR_SESSION_ID_SIGN_HERE"
      }
    }
  }
}
  1. Run the server:
python main_optimized.py  # Production with browser pooling
# or
python main.py  # Legacy version
Comparison generated from public README + GitHub signals. Last updated automatically.