
MalwareBazaar_MCP
An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
3 years
Works with Finder
2
Github Watches
1
Github Forks
2
Github Stars
MalwareBazaar_MCP
An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
MCP Tools
get_recent
: Get up to 10 most recent samples from MalwareBazaar.
get_info
: Get detailed metadata about a specific malware sample.
get_file
: Download a malware sample from MalwareBazaar.
get_taginfo
: Get malware samples associated with a specific tag.
Step 1: Create a MalwareBazaar APIKEY
Step 2: Create .env
MALWAREBAZAAR_API_KEY=<APIKEY>
Step 3a: Create Virtual Env & Install Requirements - MAC/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
cd MalwareBazaar_MCP
uv init .
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
Step 3b: Create Virtual Env & Install Requirements - Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
cd MalwareBazaar_MCP
uv init .
uv venv
.venv\Scripts\activate
uv pip install -r requirements.txt
Step 4a: Add Config to the MCP Client - MAC/Linux
{
"mcpServers": {
"malwarebazaar": {
"description": "Malware Bazaar MCP Server",
"command": "/Users/XXX/.local/bin/uv",
"args": [
"--directory",
"/Users/XXX/Documents/MalwareBazaar_MCP",
"run",
"malwarebazaar_mcp.py"
]
}
}
}
Step 4b: Add Config to the MCP Client - Windows
{
"mcpServers": {
"malwarebazaar": {
"description": "Malware Bazaar MCP Server",
"command": "uv",
"args": [
"--directory",
"C:\Users\XXX\Document\MalwareBazaar_MCP",
"run",
"malwarebazaar_mcp.py"
]
}
}
}
Step 5: Run MCP Server
uv run malwarebazaar_mcp.py
Step 6: Run MCP Client & Query
Help me understnad the latest hash from Malware Bazaar.
Step 7: Run Tests
python -m unittest discover -s tests
uv pip install coverage==7.8.0
coverage run --branch -m unittest discover -s tests
coverage report -m
coverage html
open htmlcov/index.html # MAC
xdg-open htmlcov/index.html # Linux
start htmlcov\index.html # Windows
coverage erase
License
相关推荐
🧑🚀 全世界最好的LLM资料总结(Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型) | Summary of the world's best LLM resources.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
😎简单易用、🧩丰富生态 - 大模型原生即时通信机器人平台 | 适配 QQ / 微信(企业微信、个人微信)/ 飞书 / 钉钉 / Discord / Telegram / Slack 等平台 | 支持 ChatGPT、DeepSeek、Dify、Claude、Google Gemini、xAI、PPIO、Ollama、阿里云百炼、SiliconFlow、Qwen、Moonshot、SillyTraven、MCP 等 LLM Agent | LLM-based instant messaging bots platform, supports Discord, Telegram, WeChat, Lark, DingTalk, QQ, Slack