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Access and manage local files through natural language via MCP.
This MCP tool is described as providing local filesystem access only, with no required secrets and no declared remote endpoints. Overall risk appears limited from the available material, but it should still be used with least privilege because it is flagged for code execution, can operate on local files, and has relatively weak source trust signals.
The materials explicitly state that no keys or environment variables are required, and there is no request for API tokens, account credentials, or other sensitive authentication data. Based on the available facts, credential exposure and abuse risk appears low.
No remote endpoint is declared, and the description only mentions local file operations via MCP. There is no evidence in the provided materials that user data is sent to external services; based on current facts, network egress risk appears low.
The objective checks flag this tool as executes-code, indicating the ability to execute code or spawn processes locally. This is a common tool capability rather than a standalone red flag, but its effective system privileges and runtime context should be controlled to avoid use in high-privilege environments.
The description explicitly states that it provides filesystem access and enables local file operations, so it may read or write local data by design. This aligns with its stated purpose and is not by itself high risk, but its working directory and accessible paths should be constrained to prevent unintended data exposure.
There is a public GitHub repository and it is flagged as open source, which improves auditability and lowers risk. However, the source is only a third-party registry entry, the license is unspecified, community adoption is 0 stars, and maintenance status is unknown, so trust and maintenance signals are weak; review the source and dependencies before using it in sensitive contexts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-distiller-mcp" yet — see the docs or source repo.
Scan my project directory, summarize files by type, and move log files not modified in the last 30 days into an archive folder.
Provides a file summary and completes bulk archival of old log files.
Read the package.json, Dockerfile, and README in the current repository, then summarize dependencies, startup steps, and deployment notes.
Returns a structured summary of key config files for quick project understanding.
Based on the code structure under the src directory, generate a Chinese project overview document and save it as docs/project-overview.md.
Generates project documentation and writes the file to the specified local path.
Lets Claude handle local files, system info, calculations, and timestamp generation.
Control terminal, search files, and edit diffs for local dev workflows.
Let AI read, write, search files, and run local commands.
Securely lets AI read, write, and execute local tasks remotely.
Manage remote FTP files directly with upload, download, list, and delete actions.
Enable Claude to generate images through a local MCP server.