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initMAX/zabbix-mcp-server

MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.

Python ◇ ai-agent AGPL-3.0
★212STARS
⑂44FORKS
!12ISSUES
🏆#9,648GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,193

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

zabbix-mcp-server gained 10 stars in the last 30 days, about 1 a day, and now has 212. It is about 1 year old and has averaged roughly 212 stars a year. It ranks #1,193 among Python repositories and #9,648 across all languages on GitHubRepo.

Trending Record

zabbix-mcp-server has maintained a continuous presence across global trending indexes, peaking at #7687. Below is the 30-day activity profile:

💡 Overview

zabbix-mcp-server is an open-source project written in Python: MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agent, ai-tools, automation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install zabbix-mcp-server

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

zabbix-mcp-server coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with zabbix-mcp-server.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install zabbix-mcp-server using your package manager: `pip install zabbix-mcp-server`

2

Initialize your project workspace or configuration file for zabbix-mcp-server.

3

Import zabbix-mcp-server into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `zabbix-mcp-server --help` to verify successful setup.

👍 Strengths

Active community backing with 212 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

initMAX/zabbix-mcp-server is currently ranked #9,648 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#9,632 xiao-villamor/PrintStash Python ★ 213 Compare ↗
#9,632 kygo8/open-diff TypeScript ★ 213 Compare ↗
#9,648 initMAX/zabbix-mcp-server This Project Python ★ 212
#9,648 imikerussell/beebots TypeScript ★ 212 Compare ↗
#9,648 Daminoup88/WattSeal Rust ★ 212 Compare ↗
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Frequently Asked Questions

What does zabbix-mcp-server do? +

MCP server for the complete Zabbix API - 237 tools, multi-server, OAuth 2.1 + bearer auth, PDF reports, systemd ready. Works with ChatGPT, Claude, VS Code, Codex, JetBrains and any MCP client.

What language is zabbix-mcp-server written in? +

The primary language is Python. Topics include: ai-agent, ai-tools, automation, chatgpt, claude.

Is zabbix-mcp-server actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 12 open issues being tracked.

How many stars does zabbix-mcp-server have? +

zabbix-mcp-server has 212 stars and 44 forks on GitHub.

How does zabbix-mcp-server rank among GitHub repositories? +

With 212 stars, initMAX/zabbix-mcp-server is ranked #9,648 globally across all repositories tracked on GitHubRepo and #1,193 among Python projects.

What license is zabbix-mcp-server distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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