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V2ray Mikrotik «OFFICIAL»

Unlike Socks or HTTP proxy, TPROXY preserves the original destination IP. This means CDNs, banking apps, and gaming traffic work flawlessly.

If you host a V2Ray server at home behind your MikroTik router, the configuration is standard port forwarding.

Problem: Slow browser speed.
Solution: Disable TCP Segmentation Offloading on MikroTik interfaces. V2Ray does its own packet assembly.

/interface ethernet set ether1 tcp-segmentation-offload=no

Problem: DNS leaks (Your ISP sees your requests).
Solution: Force all DNS traffic to your V2Ray gateway. v2ray mikrotik

/ip firewall nat add chain=dstnat protocol=udp dst-port=53 action=dst-nat to-addresses=192.168.88.10

Problem: UDP traffic (VoIP, gaming) fails.
Solution: Ensure your V2Ray server supports mKCP or UDP over TCP. Alternatively, exclude UDP from mangle rules.

If your V2Ray client runs on the same machine as your browser/application, or you have a local SOCKS proxy.

Three common deployment models:

  • V2Ray client on a local device + MikroTik transparent proxying

  • V2Ray on MikroTik (RouterOS/CHR) directly

    • Recommended practical approach: run V2Ray on an external VPS and route traffic from MikroTik to it using policy-based routing and a lightweight local proxy (redsocks2/ss-redir/tun2socks) on a small Linux VM or device in the LAN. Unlike Socks or HTTP proxy, TPROXY preserves the

    Once the container is downloaded, you must mount your config.json file into the container. This requires creating a directory on the router's file system and mounting it to /etc/v2ray/ inside the container.

    Pros: Single-device solution. Cons: Highly resource-intensive. Can significantly slow down lower-end MIPSBE or MMIPS routers. Only recommended for high-end ARM devices (CCR, CRS, or upgraded hAP ax series).

    Due to the complexity and variations in configurations, we will outline the general approach: Problem: Slow browser speed

    If your MikroTik does not support containers, use a Raspberry Pi running Raspbian and V2Ray.

    This is more reliable than containers for heavy loads because the Pi has better RAM management.