# Filesystem MCP

> Use this tool when you need to securely interact with filesystems while optimizing token efficiency, providing controlled access for AI assistants to read, write, and search files within designated directories. It solves problems related to token limits and large file system traversals, enabling efficient file access and management. Ideal for use cases requiring secure and optimized filesystem access, such as data retrieval and storage tasks.

Canonical page: https://skillsregistry.net/skills/codemaestroai-filesystem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/codemaestroai-filesystem-mcp

## Description

Provides secure filesystem access for AI assistants with optimizations like file reading limits and depth-limited traversal to improve token efficiency. It enables AI models to read, write, and search files within explicitly allowed directories while automatically skipping large system folders.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jl3laod6or)
- **Repository:** <https://github.com/codemaestroai/filesystem-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "codemaestroai-filesystem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/codemaestroai-filesystem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/codemaestroai-filesystem-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt