MCP-based Network Measurement Framework: Using Model Context Protocol for Intelligent Network Measurement
draft-zeng-mcp-network-measurement-00
| Document | Type |
Replaced Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Guanming Zeng , Jianwei Mao | ||
| Last updated | 2025-10-20 | ||
| Replaced by | draft-zm-rtgwg-mcp-network-measurement | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Replaced by draft-zm-rtgwg-mcp-network-measurement | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document proposes a framework for intelligent network measurement using the Model Context Protocol (MCP). By treating network devices as MCP servers and network controllers as MCP clients, this framework enables natural language-driven, AI-assisted network measurement operations. The framework leverages MCP's standardized communication protocol to provide real-time network performance monitoring, intelligent fault diagnosis, topology discovery, and automated measurement workflows. This document describes the architecture, use cases, and security considerations for implementing MCP-based network measurement systems.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)