cml-mcp and mcp-server

These are ecosystem siblings, as the xorrkaz/cml-mcp project implements an MCP server specifically for Cisco Modeling Labs, while keboola/mcp-server is an MCP server tailored for the Keboola Platform, both leveraging the same Model Context Protocol within different environments.

cml-mcp
68
Established
mcp-server
58
Established
Maintenance 10/25
Adoption 15/25
Maturity 24/25
Community 19/25
Maintenance 13/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 33
Forks: 17
Downloads: 3,259
Commits (30d): 0
Language: Python
License: BSD-2-Clause
Stars: 83
Forks: 25
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About cml-mcp

xorrkaz/cml-mcp

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

Exposes 47 MCP tools for programmatic CML management—including lab topology creation, node CLI execution via PyATS, link conditioning, packet capture, and user/group administration. Connects to Claude Desktop and other MCP clients via stdio transport, with optional HTTP server mode supporting YAML-based access control lists. Integrates directly with Cisco Modeling Labs 2.9+ API endpoints using environment-based authentication.

About mcp-server

keboola/mcp-server

Model Context Protocol (MCP) Server for the Keboola Platform

Exposes Keboola's data pipelines, transformations, and job orchestration as composable tools via the Model Context Protocol, enabling AI agents to query tables, create SQL transformations, trigger jobs, and manage development branches through a unified interface. Supports both a hosted remote server with OAuth authentication (for Cursor, Claude, Windsurf, and other MCP clients) and local deployment with configurable tool authorization via HTTP headers for access control. Built on Streamable HTTP transport with granular read-only and tool-filtering capabilities to safely integrate Keboola workflows into AI agent workflows.

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