Does the summary tool work on any file type?
No, the summary tool only analyzes Python (.py) and Markdown (.md) files. For Python it lists functions and classes; for Markdown it lists headers.
@kvas-it
基本信息
MCP server providing basic file system operations. Supports navigation, reading, writing, and analyzing files.
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP File System Server is a Model Context Protocol server that provides file system operations including navigation, reading, writing, analyzing files, and executing shell commands. It is designed for AI agents and developers who need to interact with the local filesystem programmatically through MCP tools.
The server exposes tools under categories such as file and directory operations, editing and searching, analysis, batch operations, project navigation, code quality, and command execution. Users invoke these tools (e.g., ls, read_file, write_file, grep, summary, ruff_check, shell_command) by name with the required parameters.
No, the summary tool only analyzes Python (.py) and Markdown (.md) files. For Python it lists functions and classes; for Markdown it lists headers.
Yes. The `shell_command` tool allows arbitrary command execution on the host system. Always inspect and validate commands before running them, especially from untrusted sources.
The `cd` command supports home directory expansion with `~`, so you can use `cd("~")` to change to the home directory.
The `work_on` tool changes to a directory, lists its contents, and retrieves notes from a CLAUDE.md file, making it useful for getting familiar with a project at the start of a chat.
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly. Stay synced with changes so your training log is always up to date.
Blazing-fast, asynchronous MCP server for seamless filesystem operations.
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
MCP server to extract contents from a PDF file
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