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Execute shell commands for automation, DevOps tasks, and developer workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Shell Server" yet — see the docs or source repo.
Run these commands and summarize the results: uname -a, df -h, free -m, and ps aux --sort=-%mem | head. Then explain in English the OS version, disk usage, memory usage, and top memory-consuming processes.
Command outputs plus a concise summary of the server's system resource status.
In the current project directory, run npm install first, then npm test. If tests fail, list the failing cases and summarize likely causes based on the terminal output.
Installation and test logs, plus a summary of test results and likely failure causes.
Use shell commands to find the top 20 most frequent error keywords across all .log files in the logs directory, and present the result as a table. You may combine grep, awk, sort, uniq, and similar commands if needed.
A frequency table of the most common error keywords generated from the executed commands.
Learn shell execution, MCP tools, resources, and security risks with this example server.
Run persistent interactive shell sessions for commands, tools, and large outputs.
Run macOS shell commands with sessions, background jobs, caching, and semantic search.
Securely manage remote servers via persistent SSH with commands, files, and monitoring.
Safely run whitelisted shell commands with timeouts, pipelines, and audit logs.
Give MCP agents direct local access to files, Python, Node.js, and shell.