Zscaler Integration MCP Server is a Model Context Protocol (MCP) server designed for managing Several Zscaler Products using Large Language Models (LLMs).
zpa 开源项目推荐(16 个)
zpa 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 16
GitHub 共 16 个仓库,已全部展示支持 DLMS/Cosem IEC IEC 62056-21 Mode E(Hdlc)、会话模式和被动推送模式读出。根据SPODES协议GOST R 58940-202(Energomera ce207、ce208、CE307、CE308、Mercury、Pulsar、Milur、Mir、Nartis、RiM等)将EspHome连接到电表。
Official Zscaler SDK Python provides an uniform and easy-to-use interface for each of the Zscaler product APIs.
Zscaler python SDK for ZIA, ZPA, ZCC
Zscaler SDK for Golang (ZPA/ZIA/ZDX/ZCC APIs)
Ansible collection that automates the configuration and operational tasks on Zscaler Private Access, using the ZPA API.
A bundle of agent skills that teach AI coding assistants (Claude Code, Cursor, Copilot, Gemini CLI, OpenCode, Codex, …) how to design and write correct Terraform HCL for the Zscaler Terraform providers.
Zscaler, ZPA, Zero Trust & Cloud Security - Exploring ZPA architecture, core components, secure application access, and real-world enterprise deployment.
Terraform Reusable Modules for ZPA Private Service Edge VMs on Azure
Zscaler Private Access Consul-Terraform-Sync module that will create and update application servers in the ZPA Cloud
Terraform Reusable Modules for ZPA App Connector VMs on Docker
Zscaler SASE Architecture - Explore SSE security controls, Zero Trust branch traffic forwarding and Cisco SD-WAN integration for secure cloud-delivered access.
Zscaler Private Access Consul-Terraform-Sync module that will create and update application segments in the ZPA Cloud
Ansible role for Zscaler ZPA automation on AAP
ZPA container image
Async Python driver for Fuji Electric ZP-series NDIR gas analyzers (ZPA, also sold as the CAI / ENVEA ZPA) over Modbus RTU.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 16 个项目;原始页面见 https://github.com/topics/zpa。
- 该话题在 GitHub 上共有 16 个仓库, 本站收录的是其中最热门的 16 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 16 个项目累计 181 Star,覆盖 5 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。