drio
Open app

MCP Client Server With LLM Command Execution

Source

Catalog onlyCatalog onlySTDIO

Overview

MCP Client Server With LLM Command Execution is a project that enables command execution through a client-server architecture utilizing a large language model (LLM).

To use this project, clone the repository from GitHub, set up the server and client components, and follow the instructions in the README file to execute commands via the LLM.

  • Client-server architecture for command execution - Integration with a large language model for natural language processing - Ability to execute commands based on user input
  1. Automating command execution in software development environments.
  2. Enhancing user interaction with systems through natural language commands.
  3. Implementing intelligent command execution in various applications.

Add to your AI client

Use these steps to connect MCP Client Server With LLM Command Execution 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-client-server-with-llm-command-execution-zahoorahmad60": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

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-client-server-with-llm-command-execution-zahoorahmad60": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

Claude Code

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

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-client-server-with-llm-command-execution-zahoorahmad60": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

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-client-server-with-llm-command-execution-zahoorahmad60": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

Windsurf

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

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-client-server-with-llm-command-execution-zahoorahmad60": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

Cline

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

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-client-server-with-llm-command-execution-zahoorahmad60": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-client-server-with-llm-command-execution-zahoorahmad60"
      ]
    }
  }
}

FAQ

What programming languages are supported?

The project primarily supports Python for both client and server components.

Is there a demo available?

Yes! You can find a demo in the GitHub repository.

Can I contribute to the project?

Absolutely! Contributions are welcome, and you can find guidelines in the repository.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":1289,"uuid":"c17984e5-edb6-4fe1-b6dd-1037ca6a1fb0","name":"MCP-Client-Server-with-LLM-Command-Execution","title":"MCP Client Server With LLM Command Execution","description":null,"avatar_url":"https://avatars.githubusercontent.com/u/66243668?v=4","created_at":"2025-02-20T14:35:25.569Z","updated_at":"2025-02-23T07:21:40.291Z","status":"created","author_name":"zahoorahmad60","author_avatar_url":"https://avatars.githubusercontent.com/u/66243668?v=4","tags":"mathgpt,math-solver,math-assistant","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/zahoorahmad60/MCP-Client-Server-with-LLM-Command-Execution","target":"_self","content":"Hello world","summary":"$29","img_url":null,"type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data