Sift MCP (Docker edition)
Enables digital forensics investigation by exposing SANS SIFT tools (The Sleuth Kit, Volatility 3, Plaso, etc.) as callable MCP tools, running in a self-contained Docker container with safe, allowlisted commands.
README
Sift MCP — Docker edition 🐳
An MCP server that exposes the SANS SIFT digital-forensics toolkit as tools an LLM can call. Drive it from Claude Desktop, Ollama Desktop, or any MCP client.
This edition runs the whole toolchain as a self-contained Docker container — no SIFT VM required, works anywhere Docker runs. If you'd rather run on an existing SANS SIFT install, see the VM edition (separate repo): sift-mcp-vm.
It wraps standard DFIR command-line programs (The Sleuth Kit, Volatility 3, Plaso, exiftool, YARA, etc.) behind a safe, allowlisted interface. This is a defensive / investigative tool — it does not generate exploits or malware.
Contents
sift-mcp-docker/
├── server.py # the MCP server
├── requirements.txt # Python dependencies
├── Dockerfile # Ubuntu 24.04 + forensic toolchain + server
├── docker-compose.yml # service, mounts, ports, healthcheck
├── healthcheck.py # container liveness probe
├── .env.example # host bind address, port, timeouts
├── .dockerignore
├── clients/ # example client configs (Claude Desktop, Ollama)
└── README.md
The image is Ubuntu 24.04 with The Sleuth Kit, foremost, exiftool, binwalk, yara, and Plaso (from the GIFT PPA), plus Volatility 3 and python-evtx (via pip). It runs as a non-root user and serves MCP over HTTP on port 8000.
Quick start
git clone <your-repo-url> sift-mcp-docker
cd sift-mcp-docker
cp .env.example .env # optional: tweak ports/limits
mkdir -p cases/output # evidence goes in ./cases
docker compose up -d --build # build + start
docker compose logs -f # watch startup
The endpoint is now http://localhost:8000/mcp. Put evidence in ./cases
(e.g. ./cases/case01/disk.E01); recovered/carved files and timelines appear in
./cases/output.
How the mounts work
./cases→ mounted read-only at/cases; the container can never alter your original evidence../cases/output→ mounted writable at/cases/outputfor results.
If the container can't write to cases/output (a bind-mount permission
mismatch), either chmod 777 cases/output on the host, or add
user: "${UID}:${GID}" to the service in docker-compose.yml and run
UID=$(id -u) GID=$(id -g) docker compose up -d.
Without compose
docker build -t sift-mcp:latest .
docker run -d --name sift-mcp -p 127.0.0.1:8000:8000 \
-v "$PWD/cases:/cases:ro" -v "$PWD/cases/output:/cases/output" \
sift-mcp:latest
Common commands
docker compose ps # status + health
docker compose logs -f # logs
docker compose restart # restart after editing .env
docker compose down # stop and remove
docker compose up -d --build # rebuild after changing server.py
The tools
Disk / file analysis — sift_disk_partitions (mmls), sift_image_info
(img_stat), sift_filesystem_info (fsstat), sift_list_files (fls),
sift_extract_file (icat, returns SHA-256), sift_carve_files (foremost),
sift_file_type (file), sift_hash_file (md5/sha1/sha256).
Memory forensics — sift_volatility (any Volatility 3 plugin).
Timeline & artifacts — sift_create_timeline (log2timeline),
sift_export_timeline (psort), sift_parse_evtx.
Metadata & strings — sift_exiftool, sift_strings, sift_binwalk,
sift_hexdump, sift_yara_scan.
Housekeeping — sift_list_evidence, sift_server_info (shows which
binaries are installed). Call sift_server_info after startup to confirm the
toolchain inside the container.
Connecting clients
Both configs are in clients/. Use http://localhost:8000/mcp as the URL.
Claude Desktop
Claude Desktop speaks MCP over stdio, so bridge to the HTTP endpoint with
mcp-remote (needs Node.js on the host). Edit
%APPDATA%\Claude\claude_desktop_config.json (Windows) or
~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"sift": {
"command": "npx",
"args": ["-y", "mcp-remote", "http://localhost:8000/mcp", "--transport", "http-only"]
}
}
}
Ollama Desktop
Use mcphost to bridge an Ollama model
to MCP:
go install github.com/mark3labs/mcphost@latest
mcphost -m ollama:qwen2.5 --config clients/ollama_mcphost_config.example.json
Use a tool-calling model (e.g. qwen2.5, llama3.1).
Quick check
curl -i http://localhost:8000/mcp
A 406 Not Acceptable is expected and good — it means the server is up (it only
accepts proper MCP POSTs, not bare GETs).
Configuration (environment variables)
Set host-side values in .env; container-internal paths are fixed by compose.
| Variable | Default | Purpose |
|---|---|---|
HOST_BIND |
127.0.0.1 |
Host address to publish on (0.0.0.0 for LAN access) |
HOST_PORT |
8000 |
Host port mapped to the container |
SIFT_TIMEOUT |
600 |
Default per-command timeout (s) |
SIFT_MAX_OUTPUT_CHARS |
60000 |
Output truncation limit |
Security model
- Each tool runs one fixed, allowlisted binary via
exec— never a shell. - File paths are resolved (symlinks included) and confined to
/cases(read) and/cases/output(write); anything outside is rejected. - Plugin names, carve types, inode addresses, and parser names are shape-validated. Every command runs under a timeout with truncated output.
- The server has no authentication — by default it publishes only on
127.0.0.1. If you setHOST_BIND=0.0.0.0, keep it on a trusted/private network, never the public internet.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。