tradingview-mcp vs filesystem

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

	tradingview-mcp by atilaahmettaner	filesystem by modelcontextprotocol
Stars	★ 2,698	★ 85,748
30d uses	—	—
Score	57	77
Official	—	✓
Categories	FinanceAI / LLM ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

tradingview-mcp · Summary

AI trading MCP server with real-time stock/crypto screening, technical analysis, and native Claude integration.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

tradingview-mcp · Use cases

AI-assisted trading decisions using real-time technical analysis and sentiment data
Backtesting multiple trading strategies with institutional performance metrics
Accessing comprehensive market data through Claude without switching applications

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

tradingview-mcp · Install

Install via pip:

pip install tradingview-mcp-server

Claude Desktop Config (claude_desktop_config.json):

{
  "mcpServers": {
    "tradingview": {
      "command": "/Users/YOUR_USERNAME/.local/bin/uvx",
      "args": ["--from", "tradingview-mcp-server", "tradingview-mcp"]
    }
  }
}

On Linux, replace /Users/YOUR_USERNAME with /home/YOUR_USERNAME. On Windows, use %USERPROFILE%\.local\bin\uvx.exe.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.