slyke/mcp-technitium-dns — explained in plain English
Analysis updated 2026-05-18
Let an AI assistant look up DNS zones, records, and server statistics in read only mode.
Allow a trusted automation user to create or update DNS records like A and MX entries.
Restrict destructive DNS actions behind explicit confirmation and stricter rate limits.
Deploy the server via Docker or Kubernetes with audit logging turned on for troubleshooting.
| slyke/mcp-technitium-dns | abivan-tech/zvec-mcp | ardupilot/dronecan-webtools | |
|---|---|---|---|
| Stars | 9 | 9 | 9 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | — | 2025-09-02 |
| Maintenance | — | — | Quiet |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 3/5 |
| Audience | ops devops | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Needs a running Technitium DNS Server plus a dedicated API token and bearer tokens configured before use.
This project is a server that lets an AI assistant query and manage a Technitium DNS Server, which is a piece of software that handles domain name lookups for a network. The server acts as a safe go between: the AI client authenticates to this server with its own token, and this server separately authenticates to Technitium with a Technitium API token, so the AI never sees the real Technitium credentials. The tools for creating DNS records use clearly named, checked inputs. For example, adding an A record needs an IP address and a time to live value, while adding an MX record needs a mail server address and a priority number. The project takes safety seriously: it can be set to read only mode so it only reports information and cannot change anything, write actions need a separate token with write permission, and any destructive action needs an explicit confirmation flag before it runs. Every call is also rate limited, with stricter limits on destructive actions. Setup involves creating a dedicated Technitium user just for this automation, giving it only the permissions it actually needs, and generating an API token for it. That token, along with bearer tokens for the AI clients, gets stored in a configuration file or environment variables. The project defaults to HTTPS connections and will generate a self signed certificate automatically if none is provided. All activity is written to an audit log, with sensitive values like tokens and passwords stripped out before anything is recorded. The README includes instructions for running the server directly, through Docker, or as a Kubernetes deployment, along with an example configuration for connecting it to a tool called Codex. It is written in JavaScript.
A safety focused MCP server that lets an AI assistant query and manage a Technitium DNS Server without ever seeing its real credentials.
Mainly JavaScript. The stack also includes JavaScript, Node.js, Docker.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
double-check against the repo, no cap.