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Enable agents to run reliable Bash commands and file operations through composable MCP workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tfbash-mcp" yet — see the docs or source repo.
Use tfbash-mcp to run `pwd`, `ls -la`, and `npm test` in order, then return each command exit code, key errors, and an overall result summary.
Return a checklist of command results with exit codes and key errors to quickly identify environment or test failures.
Use tfbash-mcp to create `archive/$(date +%Y%m%d)`, copy all `.log` files from `logs/` into it, and then output the file list and total count.
Return whether the directory was created, detail copied files, and provide the final file list and total count.
Use tfbash-mcp to find `*.sh` files in the current directory and run `ls -l`, then extract names without execute permission and suggest fixes.
Output a permission table for scripts, highlight files needing `chmod +x`, and provide clear remediation suggestions.
Developers who need to run sequential Bash commands and inspect file states for build, test, or deployment can standardize steps through tfbash-mcp and reduce manual errors.
In operations, it can run common file operations such as creating directories and copying files, then return structured results suitable for routine checks or automation.
It is an MCP server for agents that provides stable, composable Bash command execution and file operations. The description also notes a planned PTY-based persistent shell for long-running and incremental commands.
The description says this is planned, so current confirmed capability is stable composable command and file operations. Check the source repository for current implementation status.
The provided material does not include installation steps, credentials, or runtime requirements. Please refer to the repository README or configuration guide for authoritative setup details.
Securely run development and DevOps tasks with terminal, files, and memory.
Execute Bash commands with timeouts, environment control, and observability.
Give AI coding assistants direct local shell access for bash-driven development.
Provide AI agents with persistent SSH sessions, port forwarding, and file writes.
Run terminal commands, execute Python, and manage files for local automation.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.