Developer · Local MCP server
Zabbix AI CLI
Task-shaped Zabbix access for AI agents: problems, host triage, metrics, maintenance windows.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.stufently/zabbix-ai-cli- Version
- 0.1.1
- Status
- Active
- Category
- developer
- Transport
- stdio (local process)
- Package
- OCI image (Docker)
- Published
- 2026-08-21
- Updated
- 2026-08-21
- Publisher
- stufently (GitHub) · 2 servers with pages here
- Website
- github.com/stufently/zabbix-ai-cli
- Repository
- github.com/stufently/zabbix-ai-cli
- Source
- Registry API entry
Packages
| Registry | Package | Version | Transport |
|---|---|---|---|
| OCI image (Docker) | ghcr.io/stufently/zabbix-ai-cli:0.1.1 | — | stdio |
How to connect Zabbix AI CLI
Zabbix AI CLI runs locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/stufently/zabbix-ai-cli:0.1.1. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run — the usual command is docker run -i --rm ghcr.io/stufently/zabbix-ai-cli:0.1.1.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"zabbix-ai-cli": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/stufently/zabbix-ai-cli:0.1.1"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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|---|---|
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