# PCILeech MCP Server

> Use this tool when you need to perform low-level memory operations for debugging and security research, leveraging natural language commands to interact with PCILeech hardware for DMA-based memory reading, writing, and visualization. It solves problems related to memory inspection and modification, providing a user-friendly interface for AI assistants to input commands and receive formatted output. Ideal for use cases requiring direct memory access and analysis, such as malware analysis and reverse engineering.

Canonical page: https://skillsregistry.net/skills/evan7198-mcp-server-pcileech  
JSON: https://api.skillsregistry.net/v1/skills/evan7198-mcp-server-pcileech

## Description

Enables AI assistants to perform DMA-based memory operations through PCILeech hardware using natural language commands, supporting memory reading, writing, and multi-format visualization for debugging and security research.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdvy2u2t7l)
- **Repository:** <https://github.com/Evan7198/mcp_server_pcileech>

## 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": "evan7198-mcp-server-pcileech"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/evan7198-mcp-server-pcileech` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/evan7198-mcp-server-pcileech/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