Performance Review Data MCP Server

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Overview

Performance Review Data MCP Server is a tool designed to analyze and review performance data for MCP servers, providing insights into server efficiency and performance metrics.

To use the Performance Review Data MCP Server, clone the repository from GitHub, set up the environment as per the instructions, and run the server to start analyzing performance data.

Comprehensive performance metrics analysis - Easy integration with existing server setups - Detailed reporting on server performance

Monitoring server performance over time
Identifying bottlenecks in server operations
Generating reports for performance reviews

Add to your AI client

Use these steps to connect Performance Review Data MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-server-performance-review-data-kfischer-okarin": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-server-performance-review-data-kfischer-okarin"
      ]
    }
  }
}

FAQ

What programming language is used?

The project is developed in Ruby.

Is there a license for this project?

Yes, it is licensed under the MIT license.

How can I contribute to the project?

Contributions are welcome! Please check the GitHub repository for guidelines.

Research and data