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Securely let AI read, write, and manage local files and folders.
This is an open-source local filesystem MCP with no required secrets and no declared remote endpoints, so overall risk is not high. However, its core capabilities include local file access and system code execution, so its scope and runtime environment should be tightly constrained.
The material explicitly states that no keys or environment variables are required. No API tokens, account credentials, or persistent authentication requirements are described, so credential exposure is limited.
No remote endpoints or external service connections are declared. Based on the provided material, its functionality is focused on the local filesystem, with no evidence of sending user data over the network.
The system flags it as executes-code, indicating the ability to execute code or spawn processes locally. This is a common but high-privilege tool capability and warrants attention to its system boundaries, but by itself is not enough to rate it as high risk.
The description says it can read, write, and manage local files, which is direct access to local data. Path restrictions and optional read-only mode are positive controls, but overly broad directory access could still expose sensitive files.
The repository is open source under the MIT License, which is a clear risk-reducing factor because the code can be audited. However, it comes from a third-party registry, has 0 stars, unknown maintenance status, and no README, so supply-chain trust should still be treated cautiously.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "filesystem-mcp" yet — see the docs or source repo.
Please scan the /project/docs directory, sort files into subfolders by type, and generate a summary of the changes; do not modify Markdown file contents.
The tool organizes files and returns a summary with moved items and the resulting directory structure.
Read the current project's .env.example and config directory, identify missing configuration entries, and add default values to config/app.json while preserving the existing format.
The tool returns a summary of updated configuration files and lists the newly added settings.
In read-only mode, inspect CSV and JSON files under /data/reports, list file names, sizes, and schema structures, and flag obvious data format issues.
The tool returns a read-only analysis report describing file structures and potential issues without changing any files.
Enable AI to read, write, search, and manage files and folders.
Restrict AI file access to one folder with safe read-only defaults.
Let AI read, edit, and manage files in a project workspace.
Let AI read, write, search files, and run local commands.
Securely let AI read, search, and edit local files in one Windows folder.
Securely read, write, and list files inside AI-driven workflows.