claude mcp add mcp-server-commands -- npx -y mcp-server-commands
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
235 โ ยท g0t4/mcp-server-commands ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 13 sources
Score
score 1,303 ยท 235 โ ยท 13 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
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repository g0t4/mcp-server-commands๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
The runProcess tool runs processes on the host machine. There are two mutually exclusive ways to invoke it: 1. **command_line** (string) โ Executed via the system's default shell (just like typing into bash/fish/pwsh/etc). Shell features like pipes, redirects, and variable expansion all work. 2. **argv** (string array) โ Direct executable invocation. argv[0] is the executable, the rest are arguments. No shell interpretation. You cannot pass both. The tool infers whether to use a shell from which parameter you provide. If you want your model to use specific shell(s) on a system, I would list them in your system prompt. Or, maybe in your tool instructions, though models tend to pay better attention to examples in a system prompt. Let me know if you encounter problems! Tools Tools are for LLMs to request. Claude Sonnet 3.5 intelligently uses run_process. And, initial testing shows promising results with Groq Desktop with MCP and llama4 models. Currently, just one command to rule them all! - run_process - run a command, i.e. hostname or ls -al or echo "hello world" etc - Returns STDOUT and STDERR as text - Optional stdin parameter means your LLM can - pass scripts over STDIN to commands like fish, bash, zsh, python - create files with cat >> foo/bar.txt from the text in stdin > [!WARNING] > Be careful what you ask this server to run! > In Claude Desktop app, use Approve Once (not Allow for This Chat) so you can review each command, use Deny if you don't trust the command. > Permissions are dictated by the user that runs the server. > DO NOT run with sudo. Video walkthrough Prompts Prompts are for users to include in chat history, i.e. via Zed's slash commands (in its AI Chat panel) - run_process - generate a prompt message with the command output * FYI this was mostly a learning exercise... I see this as a user requested tool call. That's a fancy way to say, it's a template for running a command and passing the outputs to the model! Development Install dependencies: Build the server: For development with auto-rebuild: Installation To use with Claude Desktop, add the server config: On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json Groq Desktop (beta, macOS) uses ~/Library/Application Support/groq-desktop-app/settings.json Use the published npm package Published to npm as mcp-server-commands using this workflow Use a local build (repo checkout) Make sure to run npm run build Local Models - Most models are trained such that they don't think they can run commands for you. - Sometimes, they use tools w/o hesitation... other times, I have to coax them. - Use a system prompt or prompt template to instruct that they should follow user requests. Including to use run_processs without double checking.