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mssql-mcp vs filesystem

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

mssql-mcp
by daobataotie
filesystem
by modelcontextprotocol
Stars★ 39★ 85,748
30d uses
Score3977
Official
Categories
DatabaseDeveloper ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit12 mo agothis month

mssql-mcp · Summary

A Python-based MCP server that enables SQL query execution and business intelligence capabilities for MSSQL databases.

filesystem · Summary

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

mssql-mcp · Use cases

  • Business analysts querying sales data and generating insights
  • Developers interacting with MSSQL databases through AI assistants
  • Teams automating database reporting and analytics workflows

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

mssql-mcp · Install

  1. Install dependencies: pip install -r requirements.txt
  2. Create a config.json file in the same directory as server.py with your database connection details
  3. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "mssql": {
      "command": "python",
      "args": ["/path/to/mssql-mcp/src/server.py"]
    }
  }
}```

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.