feat: Azure OpenAI / Azure AI Foundry support. Models should be defined in conf/azure_models.json (or a custom path). See .env.example for environment variables or see readme. https://github.com/BeehiveInnovations/zen-mcp-server/issues/265 feat: OpenRouter / Custom Models / Azure can separately also use custom config paths now (see .env.example ) refactor: Model registry class made abstract, OpenRouter / Custom Provider / Azure OpenAI now subclass these refactor: breaking change: `is_custom` property has been removed from model_capabilities.py (and thus custom_models.json) given each models are now read from separate configuration files
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Zen MCP Server Documentation
| Document | Description |
|---|---|
| Getting Started | Installation paths, prerequisite setup, and first-run guidance. |
| Adding Providers | How to register new AI providers and advertise capabilities. |
| Azure OpenAI | Configure Azure deployments, capability overrides, and env mappings. |
| Model Ranking | How intelligence scores translate into auto-mode ordering. |
| Custom Models | Configure OpenRouter/custom models and aliases. |
| Adding Tools | Create new tools using the shared base classes. |
| Advanced Usage | Auto-mode tricks, workflow tools, and collaboration tips. |
| Configuration | .env options, restriction policies, logging levels. |
| Testing | Test strategy, command cheats, and coverage notes. |
| Troubleshooting | Common issues and resolutions. |
Additional docs live in this directory; start with the table above to orient yourself.