Is authentication required?
Yes, an `authenticate` tool is provided to authenticate with the SD-WAN management server, and a `get_session_status` tool to check current session status.
@stormbliss
基本情報
A comprehensive Model Context Protocol (MCP) server for monitoring and managing SD-WAN devices through REST API endpoints. This server exposes SD-WAN device monitoring and management functionality that can be integrated with Cursor and other MCP-compatible tools.
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": {
"sdwan-mcp-server": {
"command": "python",
"args": [
"/path/to/your/project/main.py"
],
"env": {
"PYTHONPATH": "/path/to/your/project"
}
}
}
}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。
A comprehensive MCP server for monitoring and managing SD-WAN devices through REST API endpoints. It exposes SD-WAN device monitoring and management functionality that can be integrated with Cursor and other MCP-compatible tools.
Install the server (Python 3.8+ required), configure it with SD-WAN management server credentials, then invoke MCP tools such as get_fabric_devices, authenticate, or generate_network_report from a compatible client like Cursor IDE.
Yes, an `authenticate` tool is provided to authenticate with the SD-WAN management server, and a `get_session_status` tool to check current session status.
Basic monitoring tools include `get_fabric_devices`, `get_device_monitor`, `get_device_counters`, `get_interface_statistics`, `get_device_config`, `get_bfd_state`, `get_bfd_sessions`, and `get_tunnel_statistics`.
Advanced tools include health summary, device status filtering, top interfaces by traffic, BFD session health check, network report generation, device alerts, interface utilization monitoring, and network topology retrieval.
Python 3.8 or higher and MCP 1.0+ are required.
Yes, it explicitly supports seamless integration with Cursor IDE and other MCP-compatible tools.
OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.


Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.

OpenMark is a remote MCP server available at https://openmark.ai. Benchmark your own prompt on 100+ models with real API calls.
コメント