Filesystem Mcp

Community

makabakaxy

filesystem-mcp

Read, write, edit, move, and search files and directories via CLI. Use when user needs to access file contents, manage directory structures, or search for files by pattern.

Overview

Publisher	makabakaxy
Repository	`mcp2cli`
Skill name	`filesystem-mcp`
Stars	66
Forks	5
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by makabakaxy on GitHub. Read the source before you install it.

Installation

Install the Filesystem Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/makabakaxy/mcp2cli/tree/main/presets/filesystem-mcp/0.2.0/skills
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/makabakaxy/mcp2cli.git /tmp/mcp2cli
mkdir -p .claude/skills
cp -r /tmp/mcp2cli/presets/filesystem-mcp/0.2.0/skills .claude/skills/filesystem-mcp

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Filesystem Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Filesystem Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Filesystem Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

filesystem-mcp (via mcp2cli)

Read, write, edit, move, and search files and directories via CLI.

Shortcuts

mcp2cli filesystem <cmd> (alias for mcp2cli filesystem-mcp)

Commands

File

Command	Description	Example	Ref
`mcp2cli filesystem file get`	Read text file contents	`mcp2cli filesystem file get --path /path/to/file.txtmcp2cli filesystem file get --path /path/to/file.txt --head 50`	ref
`mcp2cli filesystem file write`	Create or overwrite a file	`mcp2cli filesystem file write --path /path/to/file.txt --content 'Hello World'`	ref
`mcp2cli filesystem file edit`	Make line-based edits to a file	`mcp2cli filesystem file edit --path /path/to/file.txt --edits '[{"oldText":"foo","newText":"bar"}]'`	ref
`mcp2cli filesystem file search`	Search files by glob pattern	`mcp2cli filesystem file search --path /project --pattern '*/.py'`	ref
`mcp2cli filesystem file get-multiple`	Read multiple files at once	`mcp2cli filesystem file get-multiple --paths '["file1.txt","file2.txt"]'`	ref
`mcp2cli filesystem file get-media`	Read image/audio as base64	`mcp2cli filesystem file get-media --path /path/to/image.png`	ref
`mcp2cli filesystem file move`	Move or rename a file	`mcp2cli filesystem file move --source /old/path --destination /new/path`	ref
`mcp2cli filesystem file info`	Get file metadata	`mcp2cli filesystem file info --path /path/to/file.txt`	ref

Command	Description	Example	Ref
`mcp2cli filesystem directory create`	Create a directory	`mcp2cli filesystem directory create --path /new/dir`	ref
`mcp2cli filesystem directory list`	List directory contents	`mcp2cli filesystem directory list --path /project`	ref
`mcp2cli filesystem directory tree`	Get recursive directory tree	`mcp2cli filesystem directory tree --path /project`	ref
`mcp2cli filesystem directory list-sizes`	List with size information	`mcp2cli filesystem directory list-sizes --path /project`	ref
`mcp2cli filesystem directory list-allowed`	List accessible directories	`mcp2cli filesystem directory list-allowed`	ref

Discover Parameters

Append --help to any command for full parameter list:


mcp2cli filesystem file get --help

Note: Use Ref links in the Commands table above to view detailed parameter reference and more examples.

User Notes

MUST READ users/skill.md for custom workflows and tips. Config: MCP server settings live in ~/.agents/mcp2cli/servers.yaml - edit there to take effect.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

reference/directory.md1 KB
reference/file.md2 KB

Frequently asked questions

What does the Filesystem Mcp AI skill do?

Read, write, edit, move, and search files and directories via CLI. Use when user needs to access file contents, manage directory structures, or search for files by pattern.

Why use Filesystem Mcp on TypingMind?

Because you install it once and use it with any model. Filesystem Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Filesystem Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/makabakaxy/mcp2cli/tree/main/presets/filesystem-mcp/0.2.0/skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Filesystem Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Filesystem Mcp?

As many as you like. As long as a model supports skills, you can use Filesystem Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Filesystem Mcp AI skill free?

Yes. It is published on GitHub by makabakaxy under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview