# High-Performance File System MCP Server

> High-Performance File System MCP Server — sohailshabbir867-file-mcp-server. Use this tool when you need to manage local files securely and efficiently, enabling AI assistants to perform CRUD operations via natural language inputs. It solves problems related to file system management, such as searching, reading, writing, editing, and organizing files and directories. The tool accepts natural language commands as input and outputs the corresponding file system operations, making it ideal for use cases requiring seamless file management integration with AI systems.

Canonical page: https://skillsregistry.net/skills/sohailshabbir867-file-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sohailshabbir867-file-mcp-server

## Description

A secure, Dockerized MCP server enabling AI assistants to perform file and directory CRUD operations like read, write, edit, search, and manage local files via natural language.

## 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:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wagxj693ro)
- **Repository:** <https://github.com/SohailShabbir867/file_mcp_server>

## 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": "sohailshabbir867-file-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sohailshabbir867-file-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sohailshabbir867-file-mcp-server/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