What dependencies are required?
Python 3.7+ and the xray binary from chaitin/xray. The `XRAY_PATH` environment variable must point to the xray executable.
@zhangning77-tech
基本情報
This is an enhanced MCP (Model Context Protocol) server that provides xray vulnerability scanning capabilities for ModelScope hosting.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"xray-mcp": {
"command": "node",
"args": [
"path/xray-mcp-server/server.py"
],
"env": {
"XRAY_PATH": "path/bin/xray",
"XRAY_OUTPUT_DIR": "path/xray-mcp-server/xray-results",
"XRAY_CONFIG": "path/xray-mcp-server/config/xray-config.yaml"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Xray Mcp is an enhanced MCP (Model Context Protocol) server that provides xray vulnerability scanning capabilities, designed for integration with the ModelScope hosting platform.
Install Python 3.7+ and the xray binary from chaitin/xray, then set the XRAY_PATH environment variable to point to the xray binary. Run python server.py to start the server, which reads JSON-RPC requests from stdin and writes responses to stdout. The server can also be integrated into ModelScope's MCP platform.
xray_scan: Perform vulnerability scans with configurable crawler type, timeout, plugins, and POC.xray_version: Retrieve the installed xray scanner version.xray_start_proxy (planned): Start xray in passive proxy mode with configurable port.xray_stop_proxy (planned): Stop the running xray proxy.xray_service_scan (planned): Scan non-HTTP services with port range and timeout.Python 3.7+ and the xray binary from chaitin/xray. The `XRAY_PATH` environment variable must point to the xray executable.
By default, results are stored in the system temporary directory. Custom output location can be set via the `XRAY_OUTPUT_DIR` environment variable.
The server communicates via JSON-RPC over stdin/stdout. It works with ModelScope's MCP platform which handles the transport layer.
The README does not specify built-in authentication. It recommends implementing appropriate access controls and rate limiting when deploying in production.
No. `xray_start_proxy`, `xray_stop_proxy`, and `xray_service_scan` are marked as planned and are not yet implemented. The currently available tools are `xray_scan` and `xray_version`.
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