CLI tool for deploying Zscaler MCP servers to AWS Bedrock AgentCore with preflight validation and secure credential handling
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# Zscaler MCP Deployer [](https://pypi.org/project/zscaler-mcp-deployer/) [](https://www.python.org/downloads/) [](LICENSE) A production-ready CLI tool for deploying the [Zscaler MCP Server](https://pypi.org/project/zscaler-mcp/) to AWS Bedrock AgentCore with strict preflight validation, secure credential handling, and clear connection instructions. ## Overview Zscaler MCP Deployer streamlines the deployment of Zscaler MCP servers on AWS Bedrock AgentCore. It provides: - ✅ **Strict preflight validation** — Catches missing permissions, invalid credentials, unsupported regions - 🔐 **Secure credential handling** — Uses AWS Secrets Manager, never environment variables - 🚀 **One-command deployment** — From zero to running MCP server in minutes - 📊 **Runtime verification** — Proves deployment actually works, not just CREATE_COMPLETE - 🔄 **Idempotent operations** — Safe to run multiple times without side effects - 📋 **Actionable error messages** — Exact fix instructions for common failure modes ## Quick Start 1. **Install the CLI:** ```bash pip install zscaler-mcp-deployer ``` 2. **Configure AWS credentials:** ```bash aws configure ``` 3. **Validate prerequisites (optional but recommended):** ```bash zscaler-mcp-deploy preflight ``` 4. **Deploy your MCP server:** ```bash zscaler-mcp-deploy deploy ``` 5. **Connect your MCP client** (Claude Desktop or Cursor) using the generated configuration. ## Features ### Strict Preflight Validation Before any AWS resources are created, the CLI validates: - ✅ AWS credentials are configured and valid - ✅ Required IAM permissions are available - ✅ Selected AWS region supports Bedrock - ✅ Zscaler credentials are valid and functional ### AWS Secrets Manager Integration All Zscaler credenti…
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