# cml-mcp

> cml-mcp — presidio-federal-cml-mcp. Use this tool when you need to automate and manage Cisco Modeling Labs (CML) environments, solving problems related to network modeling and simulation. The cml-mcp Docker container provides a set of MCP tools, accepting git-based inputs and producing automated CML configurations as output. Ideal for network engineers and architects looking to streamline their CML workflows and version control their network models.

Canonical page: https://skillsregistry.net/skills/presidio-federal-cml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/presidio-federal-cml-mcp

## Description

Docker container with MCP tools for Cisco Modeling Labs

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** cloud-infra
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Presidio-Federal/cml-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "presidio-federal-cml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/presidio-federal-cml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/presidio-federal-cml-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt