# filesystem-mcp

> Use this tool when you need to interact with the local file system, enabling AI assistants to read, write, and manage files securely. It solves problems related to file access and management, providing use cases such as data storage and retrieval. The filesystem-mcp tool accepts file paths and operation inputs, producing outputs such as file contents or success/failure messages.

Canonical page: https://skillsregistry.net/skills/lincolnburrows2017-filesystem-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lincolnburrows2017-filesystem-mcp

## Description

Enables AI assistants to read, write, and manage files on the local system with security features like path restrictions and optional read-only mode.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uwu4yh9rw0)
- **Repository:** <https://github.com/LincolnBurrows2017/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": "lincolnburrows2017-filesystem-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lincolnburrows2017-filesystem-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lincolnburrows2017-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