Github · GitHub Repository Radar
jeff-nasseri mikrotik-mcp
MCP server for Mikrotik
Stars
263
Forks
56
Watchers: 263
Language
License: MIT License
Repository Radar Score
52 / 100
Growth
- 7d
- +0
- 30d
- +0
- %
- 0.0%
Not enough metric snapshots yet to chart growth for this repository.
Score breakdown
- popularity 44
- growth 0
- activity 100
- freshness 100
- community 90
Need help integrating this stack?
Our team builds with modern open-source stacks. Tell us what you are shipping.
Get a quote →MikroTik MCP provides a bridge between AI assistants and MikroTik RouterOS devices. It allows AI assistants to interact with MikroTik routers through natural language requests, executing commands like managing VLANs, configuring firewall rules, handling DNS settings, and more.
mcp-mikrotik-claude.mp4
mcp-mikrotik-inspector.mp4
Note
Since MikroTik MCP version 0.14.0, the MikroTik MCP will allow you to manage multiple MikroTik devices within your fleet structure. The following video simply shows how to use the inventory of MikroTik devices to let LLMs talk with your MikroTik devices.
mikrotik-mcp-inventory-demo-video.mp4
📚 Full Documentation - Complete guides, API reference, and examples
🌐 Prefer to read online? The same documentation is also published at www.mikrotik-mcp.com (docs) — an optional, web-friendly way to explore the project while reviewing the repo.
- Installation Guide - Get started with MikroTik MCP
- Testing Guide - Run integration tests
- Claude Desktop Integration - Configure for Claude Desktop
- MCP Inspector - Interactive testing tool
- Contributing Guide - Help improve MikroTik MCP
- Articles - Learning resources and tutorials
- Diagrams - Architecture and design diagrams (draw.io)
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Repository Radar analysis
Deterministic insights derived from public metadata and our observations — not personal testing or reviews.
Why this repository is interesting
- Maintained recently (last push 2 weeks ago).
Who should use it
- Developers working primarily with Python
- Teams exploring AI tooling, agents, or ML infrastructure
Potential use cases
- Reference or evaluate Python open-source approaches in this domain
- Prototype AI/agent workflows or study reference architectures
Strengths
- Recent repository activity
- README present in our index
- Declared license: MIT License
Limitations / considerations
- Insights are derived from public metadata and our observations — not a substitute for code review
What to watch
- Re-check last push, issues, and releases on GitHub before production adoption
Strong signals: Active maintenance
Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.