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Provide AI assistants controlled local file access and command execution with approval safeguards.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "universal-mcp-fs" yet — see the docs or source repo.
Read the current project's README and package.json, summarize the project structure, then run read-only commands to list files in the src directory; ask for my approval before any dangerous action.
Returns a project structure summary, an overview of relevant files, and results from safe commands; requests approval before high-risk actions.
Inspect the configuration files in this local service directory, identify possible missing environment variables or path errors, and only read and analyze files without modifying anything.
Outputs suspicious configuration items, related file locations, and fix suggestions without changing files.
Help me clean build artifacts and remove temporary files; before running any delete command, show me the command and wait for my approval.
First lists the planned dangerous commands and asks for confirmation, then executes them after approval and reports the results.
Developers can have the AI read local project files and run read-only commands to quickly understand structure, configuration, and code context. Potentially dangerous actions remain controlled through an approval workflow.
DevOps users can use it to run commands and inspect logs or configuration in a local environment while preventing the AI from directly taking high-risk actions. The interactive approval flow fits troubleshooting that needs human oversight.
When a team wants to grant an AI assistant filesystem and command capabilities but is concerned about mistakes, this MCP tool offers a safer local access model. It is especially useful where automation must be balanced with security controls.
It is a local MCP server that gives AI assistants controlled filesystem access and command execution. For dangerous actions, it includes an interactive approval mechanism.
Yes, but it is designed to require user approval for dangerous actions instead of letting the AI execute them unconditionally. This helps balance local automation with security control.
The provided material does not include installation steps, runtime, or dependency details. See the source repository for specific prerequisites.
Let AI read, write, search files, and run local commands.
Securely lets AI browse, search, and understand local project files.
Securely read, write, and list files inside AI-driven workflows.
Enable AI to read, write, search, and manage files and folders.
Secure file and directory operations for autonomous AI development workflows.
Restrict AI file access to one folder with safe read-only defaults.