What environment variables are required?
You must set `JBXAPIKEY` to your Joe Sandbox Cloud API key and set `ACCEPTTAC=TRUE` to confirm you have read and accepted the Joe Security Terms and Conditions.
@joesecurity
基本信息
A Model Context Protocol (MCP) server for interacting with Joe Sandbox Cloud.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"JoeSandbox": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/joesandboxMCP",
"run",
"main.py"
],
"env": {
"JBXAPIKEY": "your-jbxcloud-apikey",
"ACCEPTTAC": "SET_TRUE_IF_YOU_ACCEPT"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
JoeSandboxMCP is a Model Context Protocol (MCP) server that integrates with Joe Sandbox Cloud to expose rich analysis and IOC extraction capabilities. It is built for use with MCP-compatible applications like Claude Desktop, Glama, or custom LLM agents.
Clone the repository, install dependencies with uv, and configure the MCP server in your client's JSON settings. Set the environment variables JBXAPIKEY (your API key) and ACCEPTTAC (set to TRUE to accept the terms) in the server configuration. Then launch the server using the provided uv run main.py command.
You must set `JBXAPIKEY` to your Joe Sandbox Cloud API key and set `ACCEPTTAC=TRUE` to confirm you have read and accepted the Joe Security Terms and Conditions.
Clone the repo, run `uv venv` and `uv pip install -e .` in the project directory, then configure the MCP server with the command `uv --directory /path/to/joesandboxMCP run main.py`.
Yes – the server supports submitting local files, remote URLs, websites, and command lines for dynamic analysis.
All results are formatted for easy consumption by language models, including verdicts, scores, process trees, network indicators, signatures, and unpacked binaries.
不止于 CSS

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
Open-source MCP to use Blender with any LLM

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
A search tool helps dev to solve the naming things problem.
评论