# Filesystem Context

> Use this tool when you need to securely access and analyze filesystem data in a controlled environment. It solves problems related to file system exploration, search, and analysis, while preventing unauthorized access and protecting against common vulnerabilities. The tool accepts directory paths and search queries as inputs and provides file contents, metadata, and directory statistics as outputs.

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

## Description

Provides secure, read-only filesystem access for AI applications. Features directory operations with recursive traversal, search capabilities including file globbing and regex content searching, file reading with head/tail support, and comprehensive analysis tools for directory statistics and metadata. Includes symlink escape protection, path traversal prevention, and access control for explicitly allowed directories only.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-24

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/filesystem-context)
- **Repository:** <https://github.com/j0hanz/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": "filesystem-context"
    }
  }
}
```

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