# MemProcFS

> Use this tool when you need to analyze Windows memory images through natural language interaction, solving digital forensics problems by examining process attributes, registry hives, keys, and values from memory dumps. It takes in memory dumps as input and provides process and registry attributes as output, allowing AI assistants to interact with memory forensics capabilities. Ideal for use in digital forensics investigations requiring examination of Windows memory images.

Canonical page: https://skillsregistry.net/skills/tokeii0-memprocfs  
JSON: https://api.skillsregistry.net/v1/skills/tokeii0-memprocfs

## Description

MemProcFS-mcp-server provides a bridge between AI assistants and memory forensics capabilities through the MemProcFS Python library. The server exposes tools for analyzing process attributes, registry hives, keys and values from memory dumps, making it valuable for digital forensics investigators who need to examine Windows memory images through natural language interaction. Built with FastMCP, it features robust error handling and comprehensive documentation of available process and registry attributes.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tokeii0-memprocfs)
- **Repository:** <https://github.com/tokeii0/memprocfs-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": "tokeii0-memprocfs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tokeii0-memprocfs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tokeii0-memprocfs/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