LabscoMCP early access ↗
codemaestroaiMCP SERVER · OFFICIAL PROJECT

Code Maestro Filesystem MCP

A filesystem server for AI assistants that caps its own output — no gigantic file reads, no thousand-entry directory listings, no wandering into node_modules.

by codemaestroai ↗Local Filesystem Access✓ Official

LABSCO SUMMARY

The fork exists because of output size, and that is the right reason.

Everyone who has watched an agent read a lockfile knows the problem this addresses: the reference server returns whatever it finds, and a single call can consume the entire context. Capping reads, listings and traversal depth is unglamorous and immediately useful. The directory allowlist remains the important setting — pass the narrowest set of paths that works.

What it is

A fork of the reference filesystem MCP server, changed in one direction: making responses small enough for a model to use. It reads and writes files, creates and navigates directories, searches, and edits existing files, with every operation restricted to the directories you name on the command line.

What you get

  • File and directory operations: read and write files, create and navigate directories, search for files, and make precise edits to existing ones
  • Limits on file reading, so an enormous file is not returned in full
  • Caps on directory listings, so a folder with thousands of entries still returns something usable
  • Depth-limited tree traversal, so a deep folder structure does not consume the whole response
  • Search results trimmed to the relevant matches instead of every hit
  • Automatic skipping of large dependency folders such as node_modules and .git
  • A hard boundary: only the directories passed as arguments are reachable, attempts outside them are rejected, and all file operations are logged

Requirements

Nothing — no account, no key. The documented client entry runs npx github:codemaestroai/filesystem-mcp with one or more absolute project paths as arguments, over stdio. The package is codemaestroai-filesystem-mcp (0.6.2 in package.json). The publisher notes this is a temporary measure while native file operations are built into their desktop app.

Setup effort

One command — npx github:codemaestroai/filesystem-mcp <YOUR_PROJECT_PATH>

See installation options