# Filesystem Access

> Use this tool when you need to access and analyze local files directly within AI workflows, solving problems such as file content retrieval and directory entry listing. It provides a simple interface for reading file contents and listing directory entries, with outputs including file data and error handling messages. Use it in contexts where AI assistants require local filesystem operations without separate file management tools.

Canonical page: https://skillsregistry.net/skills/parthshr370-filesystem-access  
JSON: https://api.skillsregistry.net/v1/skills/parthshr370-filesystem-access

## Description

The Filesystem MCP Server provides AI assistants with direct access to local filesystem operations through a set of specialized tools. Built using the FastMCP framework, it implements two core functions: reading file contents and listing directory entries, both with comprehensive error handling. The server can run in either stdio or Server-Sent Events (SSE) transport modes, making it flexible for different deployment scenarios. The implementation includes a test suite to verify functionality and an example client that demonstrates interactive usage with Claude models. This server is particularly valuable for workflows requiring AI assistants to access and analyze local files without needing separate file management tools.

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/parthshr370-filesystem-access)
- **Repository:** <https://github.com/parthshr370/mcp-servers>

## 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": "parthshr370-filesystem-access"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parthshr370-filesystem-access` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parthshr370-filesystem-access/pull`

---
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