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j0hanz/filesystem-mcp

Search, read and edit files in directories you choose

装之前:没有可直接复制的命令 · 许可证未标注 · 链接可访问

第一步:这条暂时没有可执行的下一步,可先看原仓库 https://github.com/j0hanz/filesystem-mcp

在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置(取自该仓库的安装命令)
{
  "mcpServers": {
    "j0hanz-filesystem-mcp": {
      "command": "npx",
      "args": ["-y", "@j0hanz/filesystem-mcp@latest", "/path/to/project"]
    }
  }
}

解析自我们于 2026-11-06 抓取的该仓库 README;我们未执行过。

command/args 来自仓库写明的安装命令;不确定时请以该项目 README 为准。
VS Code(.vscode/mcp.json —— 键名是 servers)
{
  "servers": {
    "j0hanz-filesystem-mcp": {
      "command": "npx",
      "args": ["-y", "@j0hanz/filesystem-mcp@latest", "/path/to/project"]
    }
  }
}
VS Code 顶层键是 <code>servers</code>,其余与上面那份相同。
Claude Code(命令行)
claude mcp add --transport stdio j0hanz-filesystem-mcp -- npx -y @j0hanz/filesystem-mcp@latest /path/to/project
Claude Code 不收 JSON 文件,用这条命令直接加。
配置项的键名以你的客户端为准:客户端与 CLI
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 10 个来源 · mcp
安装
npx -y @j0hanz/filesystem-mcp@latest /path/to/project
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是 npx -y @j0hanz/filesystem-mcp@latest /path/to/project。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

# Filesystem MCP

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Let your AI assistant work with your files, safely.
Read, search, edit, and patch files in the folders you choose.
Secret files stay hidden, and risky changes wait for your OK.
Real sessions with a real model, except the web client demo. The apply? prompt comes from the example gatekeeper client, not the server.
Undo skips a file you edited since, so your edit stays
Rename across a repo, reviewed as one diff, with dist/ and .env untouched
Bring back a deleted folder that git can't restore
Secret files stay hidden, and overwrites wait for your OK
Move files into an archive, then undo a move that overwrote one
Review different edits to three files as one diff before they are written
A patch that no longer fits changes nothing
Find a crash in a 14 MB log without reading all of it
## What is this?
Model Context Protocol (MCP) is how AI apps
such as Claude, GitHub Copilot in VS Code, and Cursor connect to tools.
Filesystem MCP is an MCP server: a small program that runs on your computer
and gives the AI 14 tools for working with files. You choose which folders it
can use, and everything outside them is off limits.
Once it is connected, you can ask things like:
"Find every TODO in this repo and group them by file."
"Rename getUser to fetchUser in all .ts files. Show me the diff first."
"What changed between config.dev.json and config.prod.json?"
"Read the last 50 lines of server.log and explain the error."
"Move the old screenshots into archive/2025/."
## Why Filesystem MCP?
It is safe by default. The AI can use only the folders you allow, and
.env files, private keys, and cloud credentials are blocked. The server
asks you before the AI deletes a non-empty folder, opens a folder you did
not allow, or writes over a file with create or move. These questions
need a client that can show them. If yours cannot, the server refuses each
of those actions instead of asking. Only create and copies can skip the
question, because overwrite: true replaces a file without asking, on any
client. undo can usually restore a file create replaced, but a copy cannot
be undone. Edits made with edit, patch, and
replacetext apply without asking, but the AI can show you the diff first
with dryRun. If the AI should never change
anything, --read-only removes every tool that writes.
Search and editing are made for code. The AI can search inside files like
grep, with a regex engine (RE2) that cannot hang, and by default the
server skips .gitignored files and folders like nodemodules. Edits are
exact-match replacements that return an error when the text does not match,
and you can preview them as a diff first.
It saves the AI's context. The AI can read many files in one call or
only the lines it needs, and it can check a file's size and token estimate
before reading it.
It works with any MCP client, over stdio or HTTP, on macOS, Linux, and
Windows. You can install it with npx, Docker, or a one-click Claude Desktop
extension, or build your own client on it.
It is private. It runs on your machine, has no telemetry, and makes no
network calls.
### Compared with the reference server
How this server differs from the official
@modelcontextprotocol/server-filesystem,
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来源
awesome · https://github.com/j0hanz/filesystem-mcp
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