# File System MCP Server

> File System MCP Server — saikiran2412-file-system-mcp-server. Use this tool when you need to interact with file systems programmatically, enabling large language models (LLMs) to perform tasks such as file management, data retrieval, and storage. It solves problems like accessing and manipulating files, directories, and their contents, and provides an interface for LLMs to invoke filesystem operations at runtime. This tool is ideal for use cases requiring dynamic file system interactions, such as data processing, information retrieval, and automation workflows.

Canonical page: https://skillsregistry.net/skills/saikiran2412-file-system-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/saikiran2412-file-system-mcp-server

## Description

An MCP server that exposes filesystem operations — listing directories, reading, writing, and searching files — as tools an LLM can discover and invoke at runtime.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v5a02tcf92)
- **Repository:** <https://github.com/Saikiran2412/file_system_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": "saikiran2412-file-system-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saikiran2412-file-system-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saikiran2412-file-system-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