PerformanceStudio vs filesystem

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

	PerformanceStudio by erikdarlingdata	filesystem by modelcontextprotocol
Stars	★ 184	★ 85,748
30d uses	—	—
Score	50	77
Official	—	✓
Categories	DatabaseDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	C#	TypeScript
Last commit	this month	this month

PerformanceStudio · Summary

A cross-platform SQL Server execution plan analyzer with built-in MCP server for AI-assisted analysis.

filesystem · Summary

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

PerformanceStudio · Use cases

DBAs analyzing SQL Server performance issues with AI assistance
Developers optimizing queries by examining execution plans visually
DevOps teams comparing execution plans before and after optimization

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

PerformanceStudio · Install

Installation

Download pre-built binaries from the [Releases](https://github.com/erikdarlingdata/PerformanceStudio/releases/latest) page for your platform
Extract the zip file
Run the application

For building from source:

git clone https://github.com/erikdarlingdata/PerformanceStudio.git
cd PerformanceStudio
dotnet build

MCP Configuration

Add to Claude Desktop config.json:

{
  "mcpServers": {
    "performance-studio": {
      "command": "dotnet",
      "args": ["run", "--project", "src/PlanViewer.Cli", "--", "mcp"]
    }
  }
}

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.