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Cml MCP

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An MCP server that provides access to common Cisco Modeling Labs (CML) operations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cml-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "cml-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Model Context Protocol (MCP) Server for Cisco Modeling Labs (CML)

MCP Toplist

Ask DeepWiki

mcp-name: io.github.xorrkaz/cml-mcp

Overview

cml-mcp 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 Englishβ€”like "Create a new lab with two routers and configure OSPF" or "Show me the running config on Router1"β€”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.
  • Manage CML Users and Groups: Tools to list, create, and delete local users and groups (requires admin privileges).
  • Visual Annotations: Add visual elements (text, rectangles, ellipses, lines) to lab topologies for documentation and organization.
  • Link Management: Connect nodes, configure link conditioning (bandwidth, latency, jitter, loss), and control link states.
  • Packet Capture: Start, stop, and retrieve packet captures (PCAP) from network links for traffic analysis with Wireshark or other tools.
  • Node Configuration: Configure node startup configurations and send CLI commands to running devices.
  • Run Commands on Devices: Using PyATS, MCP clients can execute commands on virtual devices within CML labs.
  • Console Log Access: Retrieve console logs from running nodes for troubleshooting and monitoring, with support for selecting specific serial console ports.
  • Modular Architecture: Tools are organized into logical modules (labs, nodes, links, pcap, etc.) for maintainability and extensibility.
  • Access Control Lists (HTTP Mode): When running in HTTP transport mode, you can restrict which users can access which tools using a YAML-based ACL configuration file.

Quick Start

Installation

The easiest way to get started is using uvx with Claude Desktop (or other MCP-compatible clients). The uvx tool automatically downloads and runs the server without manual installation steps.

Configuration: Find and edit your Claude Desktop configuration file (claude_desktop_config.json). Add the following:

config.json
{
    "mcpServers": {                                                               
        "Cisco Modeling Labs CML": {                                                                
          "type": "stdio",                                                          
          "command": "uvx",
          "args": [                                                                 
            "cml-mcp[pyats]"                                                        
          ],                                                                        
          "env": {
            "CML_URL": "{CML_URL}",                           
            "CML_USERNAME": "{CML_USERNAME}",                                                 
            "CML_PASSWORD": "{CML_PASSWORD}!",
            "CML_VERIFY_SSL": "false"
          }                                                                         
        }
    }
}

Important: Replace the placeholder values with your actual CML server details:

  • CML_URL: Your CML server address (e.g., https://cml.example.com or https://10.10.20.50)
  • CML_USERNAME and CML_PASSWORD: Your CML login credentials
  • CML_VERIFY_SSL: TLS certificate verification now defaults to "true". CML ships with a self-signed certificate out of the box, so most users need to set this to "false" (as shown above). Leave it at "true" only if you have installed a CA-signed certificate on your CML server (or point CA_BUNDLE at a file containing your self-signed certificate).

[!TIP] "Command not found" for uvx? MCP clients like Claude Desktop run in a restricted environment that does not always inherit your shell's PATH. If uvx can't be found, use its full path in the "command" field. To find it, run which uvx in a terminal on macOS/Linux, or where uvx in Command Prompt on Windows (e.g., "/Users/alice/.local/bin/uvx" on macOS, "C:\Users\alice\.local\bin\uvx.exe" on Windows). The same applies to uv, npx, or any other command used in MCP configurations.

Need more capabilities?

  • For device CLI command execution, use cml-mcp[pyats] instead of cml-mcp in the args
  • For Docker, Windows (WSL), or HTTP server mode, see INSTALLATION.md

Where to find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Requirements

  • Python 3.12, 3.13, or 3.14
  • Cisco Modeling Labs (CML) 2.9 or later
  • uv - Python package manager

Available MCP Tools

The server provides 51 MCP tools organized into the following categories:

Lab Management

  • get_cml_labs - Retrieve labs for a specific user or current user
  • create_empty_lab - Create a new empty lab with optional metadata
  • create_full_lab_topology - Create a complete lab from a topology definition
  • modify_cml_lab - Update lab properties (title, description, notes)
  • set_cml_lab_permissions - Configure group/user access (LAB_ADMIN, LAB_EDIT, LAB_EXEC, LAB_VIEW)
  • start_cml_lab - Start all nodes in a lab
  • stop_cml_lab - Stop all nodes in a lab
  • wipe_cml_lab - Wipe all node data/configurations (prompts for confirmation if client supports it)
  • delete_cml_lab - Delete a lab (prompts for confirmation if client supports it)
  • get_cml_lab_by_title - Find a lab by its title
  • download_lab_topology - Download lab topology as YAML file
  • clone_cml_lab - Clone a lab with optional new title

Node Management

  • get_cml_node_definitions - List available node types
  • get_node_definition_detail - Get detailed info about a specific node type
  • add_node_to_cml_lab - Add a node to a lab
  • get_nodes_for_cml_lab - Get all nodes in a lab with operational data
  • configure_cml_node - Set node startup configuration
  • start_cml_node - Start a specific node
  • stop_cml_node - Stop a specific node
  • wipe_cml_node - Wipe node data (prompts for confirmation if client supports it)
  • delete_cml_node - Delete a node (prompts for confirmation if client supports it)
  • get_console_log - Get console output history for a node; optional console index selects the serial port (default 0; Docker-based nodes often use both 0 and 1)
  • send_cli_command - Execute CLI commands on running nodes (requires PyATS); optional console index selects which serial port to use

Interface & Link Management

  • add_interface_to_node - Add an interface to a node. Returns a list of created interfaces (a single slot request may add multiple interfaces depending on the node type)
  • get_interfaces_for_node - Get all interfaces for a node
  • connect_two_nodes - Create a link between two interfaces
  • get_all_links_for_lab - Get all links in a lab
  • apply_link_conditioning - Configure network conditions (bandwidth, latency, jitter, loss)
  • start_cml_link - Enable connectivity on a link
  • stop_cml_link - Disable connectivity on a link

Annotations (Visual Elements)

  • get_annotations_for_cml_lab - Get all visual annotations in a lab
  • add_text_annotation - Add a text annotation
  • add_rectangle_annotation - Add a rectangle annotation
  • add_ellipse_annotation - Add an ellipse annotation
  • add_line_annotation - Add a line annotation
  • delete_annotation_from_lab - Delete an annotation (prompts for confirmation if client supports it)

Packet Capture (PCAP)

  • start_packet_capture - Start capturing packets on a link
  • stop_packet_capture - Stop an active packet capture
  • check_packet_capture_status - Check capture status and packet count
  • get_captured_packet_overview - Get summary of captured packets
  • get_packet_capture_data - Download full PCAP file (base64-encoded for Wireshark/tcpdump)

User & Group Management

  • get_cml_users - List all CML users
  • create_cml_user - Create a new user (requires admin)
  • delete_cml_user - Delete a user (requires admin, prompts for confirmation if client supports it)
  • get_cml_groups - List all CML groups
  • create_cml_group - Create a new group (requires admin)
  • delete_cml_group - Delete a group (requires admin, prompts for confirmation if client supports it)

System Information

  • get_cml_information - Get CML server version and configuration
  • get_cml_status - Get system health indicators
  • get_cml_statistics - Get resource usage and lab/node/link counts
  • get_cml_licensing_details - Get licensing information and limits

Usage

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Cml MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "cml-mcp": { "command": "npx", "args": ["-y", "cml-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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