Integrations

The Zscaler MCP Server ships with native integrations for every major MCP-aware AI development platform, plus listings in every public MCP registry. Each integration includes platform-specific configuration files, the bundled 42 guided skills, and setup instructions.

Pick a category below — every platform within each tree has its own dedicated page.

Note

This page covers MCP clients (Claude / Cursor / Gemini / Kiro / VS Code) and registries (Cursor / Claude / Official MCP / Docker / GitHub). Cloud-platform deployments (AWS Bedrock, Azure Container Apps, GCP Cloud Run, Kubernetes Helm) live under Deployment instead — one branch per hyperscaler.

At a glance

Platform

Type

Page

Claude

Plugin + Desktop Extension

Claude

Cursor

Plugin (also on Cursor Marketplace)

Cursor

Gemini CLI

Extension

Gemini CLI

Kiro IDE

Power

Kiro IDE

VS Code

GitHub Copilot Agent Mode

VS Code + GitHub Copilot

Cursor Marketplace

Public registry

Cursor Marketplace

Claude Marketplace

Public registry

Claude Marketplace

Official MCP Registry

Public registry

Official MCP Registry

Docker MCP Hub

Public registry

Docker MCP Hub

GitHub MCP Registry

Public registry + Copilot

GitHub MCP Registry

Cloud deployment integrations (AWS Bedrock AgentCore, Strands client, AWS Harness, Azure Container Apps / VM / AKS, Azure AI Foundry, GCP Cloud Run / GKE / VM, Google ADK Agent, Kubernetes Helm chart) live under Guides (legacy index — content moved) — each cloud has its own tree.

Verification

After installing any integration, verify by asking your AI client:

“What Zscaler tools are available?”

or

“List my ZPA application segments”

Shared components

All integrations leverage common resources from the repository root:

Component

Location

Purpose

Skills

skills/

42 guided multi-step workflows

MCP Server

zscaler_mcp/

The MCP server implementation (300+ tools)

Docs

docs/ and docsrc/

Deployment guides, tool references, troubleshooting