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
17 lines
1.1 KiB
Markdown
17 lines
1.1 KiB
Markdown
# Zen MCP Server Documentation
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| Document | Description |
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| [Getting Started](getting-started.md) | Installation paths, prerequisite setup, and first-run guidance. |
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| [Adding Providers](adding_providers.md) | How to register new AI providers and advertise capabilities. |
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| [Azure OpenAI](azure_openai.md) | Configure Azure deployments, capability overrides, and env mappings. |
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| [Model Ranking](model_ranking.md) | How intelligence scores translate into auto-mode ordering. |
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| [Custom Models](custom_models.md) | Configure OpenRouter/custom models and aliases. |
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| [Adding Tools](adding_tools.md) | Create new tools using the shared base classes. |
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| [Advanced Usage](advanced-usage.md) | Auto-mode tricks, workflow tools, and collaboration tips. |
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| [Configuration](configuration.md) | .env options, restriction policies, logging levels. |
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| [Testing](testing.md) | Test strategy, command cheats, and coverage notes. |
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| [Troubleshooting](troubleshooting.md) | Common issues and resolutions. |
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Additional docs live in this directory; start with the table above to orient yourself.
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