Skip to main content
Glama

mcp-qemu-lab

Local Model Context Protocol (MCP) server for Linux binary analysis in QEMU guests.

This server runs over STDIO, is safe by default, and exposes tools for:

  • VM lifecycle (create/start/stop/snapshots)

  • Full guest RAM dumps

  • In-guest debugger workflows and per-process core dumps

  • Artifact indexing/resources (metadata in tool output, file content via MCP resources)

Repository Layout

  • mcp_qemu_lab/ server source

  • tests/ unit/integration tests

  • pyproject.toml package + entrypoint

  • uv.lock pinned Python dependency lock file

Not tracked in git:

  • runtime workspaces/logs/artifacts (.mcp-qemu-lab*/)

  • local virtual envs (.venv/)

  • local tool caches (tools/)

  • local sample binaries (test samples/)

Related MCP server: Protocol-SIFT-Async-Bridge

Host Requirements

  • Python 3.11+

  • uv package manager

  • QEMU (qemu-system-x86_64 and qemu-img)

  • OpenSSH client tools (ssh, scp, ssh-keygen)

Install Host Dependencies

Windows

  1. Install uv:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
  1. Install QEMU (includes qemu-system-x86_64.exe and qemu-img.exe):

winget install --id QEMU.QEMU --exact --accept-package-agreements --accept-source-agreements
  1. Ensure OpenSSH Client is installed:

Add-WindowsCapability -Online -Name OpenSSH.Client~~~~0.0.1.0
  1. Verify:

qemu-system-x86_64 --version
qemu-img --version
ssh -V

Linux (Ubuntu/Debian)

sudo apt update
sudo apt install -y qemu-system-x86 qemu-utils openssh-client cloud-image-utils

Linux (Fedora/RHEL family)

sudo dnf install -y qemu-system-x86 qemu-img openssh-clients cloud-utils

Linux (Arch)

sudo pacman -S --needed qemu-base qemu-desktop openssh cloud-utils

Run From GitHub URL (No Local Project Path Needed)

You can launch directly from GitHub with uvx:

uvx --from git+https://github.com/Kevin4562/QEMU-MCP.git mcp-qemu-lab

Recommended pin (branch/tag/commit):

uvx --from git+https://github.com/Kevin4562/QEMU-MCP.git@main mcp-qemu-lab

MCP Client Configuration

VSCode Codex (TOML)

Example config.toml:

Windows:

[mcp_servers.mcp-qemu-lab]
command = "uvx"
args = ["--from", "git+https://github.com/Kevin4562/QEMU-MCP.git@main", "mcp-qemu-lab"]
env = { MCP_QEMU_LAB_WORKSPACE = "C:\\Users\\User\\AppData\\Local\\mcp-qemu-lab" }

Linux:

[mcp_servers.mcp-qemu-lab]
command = "uvx"
args = ["--from", "git+https://github.com/Kevin4562/QEMU-MCP.git@main", "mcp-qemu-lab"]
env = { MCP_QEMU_LAB_WORKSPACE = "/home/user/.local/share/mcp-qemu-lab" }

Cursor (JSON)

Example mcp.json:

{
  "mcpServers": {
    "mcp-qemu-lab": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Kevin4562/QEMU-MCP.git@main",
        "mcp-qemu-lab"
      ],
      "env": {
        "MCP_QEMU_LAB_WORKSPACE": "/absolute/path/to/mcp-qemu-lab-workspace"
      }
    }
  }
}

Windows workspace example:

{
  "mcpServers": {
    "mcp-qemu-lab": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/Kevin4562/QEMU-MCP.git@main",
        "mcp-qemu-lab"
      ],
      "env": {
        "MCP_QEMU_LAB_WORKSPACE": "C:\\Users\\User\\AppData\\Local\\mcp-qemu-lab"
      }
    }
  }
}

Safety Defaults

  • Guest networking default: net_mode="none"

  • No host directory sharing by default

  • guest_exec allowlist unless unsafe_allow_arbitrary_commands=true per call

  • Tool outputs return JSON metadata only (no raw memory bytes)

  • Artifacts are stored on disk and exposed via MCP resources

  • Every tool call writes audit JSONL entries

Key Tools

  • ensure_dependencies

  • vm_create, vm_start, vm_status, vm_stop

  • vm_snapshot_save, vm_snapshot_load

  • guest_wait_ready

  • guest_exec, guest_copy_in, guest_copy_out

  • process_list, process_maps

  • debugger_attach, debugger_set_breakpoint, debugger_continue, debugger_read_registers, debugger_detach

  • process_dump_core

  • guest_dump_memory

  • artifacts_list

  • vm_logs_tail

Resources

  • artifact://{artifact_id} artifact content

  • artifact-index://all artifact metadata index

Development Setup (Optional Local Clone Workflow)

If you are developing this repo locally:

uv sync
uv run --extra dev pytest -q

Integration test (real VM boot):

MCP_QEMU_LAB_RUN_INTEGRATION=1 MCP_QEMU_LAB_INTEGRATION_TIMEOUT_SEC=1800 uv run --extra dev pytest -m integration

Windows PowerShell:

$env:MCP_QEMU_LAB_RUN_INTEGRATION = "1"
$env:MCP_QEMU_LAB_INTEGRATION_TIMEOUT_SEC = "1800"
uv run --extra dev pytest -m integration

Troubleshooting

  • dependency_missing: install QEMU/OpenSSH and verify binaries are on PATH.

  • dependency_privilege_required: rerun install command with elevated permissions.

  • ssh_unavailable: VM must be created with net_mode="user" for SSH-based tools.

  • gdb/attach failures: run guest_wait_ready(..., require_gdb=true) before debugger/core tools.

Install Server
F
license - not found
A
quality
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    D
    maintenance
    An Model Context Protocol server that enables LLMs to autonomously reverse engineer applications by exposing Ghidra's decompilation and analysis tools. It allows AI agents to list code structures, rename methods, and analyze binaries directly through MCP-compatible clients.
    Last updated
    Apache 2.0
  • A
    license
    -
    quality
    B
    maintenance
    A production-grade, type-safe MCP server for memory forensics via Volatility 3, enabling LLM-assisted incident response without timeouts or evidence spoliation.
    Last updated
    1
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    MCP server wrapping GDB and GEF for dynamic analysis, enabling interactive debugging and memory inspection via GDB/MI protocol.
    Last updated
    14
    1
    MIT

View all related MCP servers

Related MCP Connectors

  • A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…

  • Security scanner for MCP servers. Detect vulnerabilities, prompt injection, and tool poisoning.

  • MCP (Model Context Protocol) server for Appwrite

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Kevin4562/QEMU-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server