No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by xorrkaz · MCP Server · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cml-mcp safe to install? View the security audit →
Model Context Protocol (MCP) Server for Cisco Modeling Labs (CML) mcp-name: io.github.xorrkaz/cml-mcp Overview brings the power of AI assistants to your network lab! This tool allows you to interact with Cisco Modeling Labs (CML) using natural language through AI applications like Claude Desktop, Claude Code, and Cursor. Instead of clicking through menus or writing scripts, simply tell the AI what you want to do in plain English—like "Create a new lab with two routers and configure OSPF" or "Show me the running config on Router1"—and watch it happen automatically. This is accomplished through the Model Context Protocol (MCP), a standard way for AI applications to interact with external tools and services. Think of it as giving your AI assistant a direct connection to your CML server. Features Create Lab Topologies: Tools to create new labs and define network topologies from scratch or using full topology definitions. Query Status: Tools to retrieve detailed status information for labs, nodes, links, annotations, and the CML server itself. Control Labs and Nodes: Tools to start, stop, and wipe labs or individual nodes as needed.
| Stars | 70 |
| Forks | 43 |
| Language | Python |
| Category | MCP Server |
| License | BSD-2-Clause |
| Quality Score | 71.6434658863925/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-17 |
| Created | 2025-08-09 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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cml-mcp is A Model Context Protocol (MCP) Server for Cisco Modeling Labs (CML). It is categorized as a MCP Server with 70 GitHub stars.
cml-mcp is primarily written in Python. It covers topics such as cisco-modeling-labs, cml, mcp-server.
You can find installation instructions and usage details in the cml-mcp GitHub repository at github.com/xorrkaz/cml-mcp. The project has 70 stars and 43 forks, indicating an active community.
cml-mcp is released under the BSD-2-Clause license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: