# mcp-virtual-fs

> Use this tool when you need to provide AI agents with a persistent and organized file system, solving problems of data management and retrieval in multi-session environments. It supports file operations, shared stores, and search functionality, accepting file inputs and producing output through a PostgreSQL-backed interface. Ideal for use cases requiring session-isolated file management and cross-session data sharing.

Canonical page: https://skillsregistry.net/skills/lu-zhengda-mcp-virtual-fs  
JSON: https://api.skillsregistry.net/v1/skills/lu-zhengda-mcp-virtual-fs

## Description

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem, supporting session-isolated file operations, cross-session shared stores, and glob/grep search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/otcucfb7y4)
- **Repository:** <https://github.com/lu-zhengda/mcp-virtual-fs>

## 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": "lu-zhengda-mcp-virtual-fs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lu-zhengda-mcp-virtual-fs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lu-zhengda-mcp-virtual-fs/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