Creating PR for merging the Azure AI Search, Azure Open AI and HTTP MCP server

Dockerfile

@@ -0,0 +1,22 @@
+ARG DOCKER_REGISTRY
+
+FROM ${DOCKER_REGISTRY}node:20
+
+WORKDIR /app
+
+# Copy everything
+COPY . .
+
+# Set CI=true to avoid interactive prompts
+ENV CI=true
+
+# Install pnpm and dependencies
+RUN npm install -g pnpm \
+    && pnpm install
+
+# Build packages
+RUN pnpm --filter @zilliz/claude-context-core build \
+    && pnpm --filter @zilliz/claude-context-mcp build
+
+WORKDIR /app/packages/mcp
+ENTRYPOINT ["pnpm", "run", "dev:http"]

README.md

@@ -42,12 +42,23 @@ Copy your Personal Key to replace `your-zilliz-cloud-api-key` in the configurati
 </details>
 
 <details>
-<summary>Get OpenAI API Key for embedding model</summary>
+<summary>Get an API Key for embedding model</summary>
 
-You need an OpenAI API key for the embedding model. You can get one by signing up at [OpenAI](https://platform.openai.com/api-keys).  
+You need an API key for the embedding model. Claude Context supports multiple providers:
 
-Your API key will look like this: it always starts with `sk-`.  
-Copy your key and use it in the configuration examples below as `your-openai-api-key`.
+**Option 1: OpenAI**
+- Sign up at [OpenAI](https://platform.openai.com/api-keys)
+- Your API key will start with `sk-`
+- Use as `your-openai-api-key` in configuration
+
+**Option 2: Azure OpenAI**
+- Use your Azure OpenAI resource endpoint and API key
+- Requires deployment name instead of model name
+- See [Azure OpenAI Documentation](https://learn.microsoft.com/en-us/azure/ai-services/openai/)
+
+**Option 3: Other Providers**
+- VoyageAI, Gemini, or Ollama (local)
+- See [Provider Configuration Guide](packages/mcp/README.md#embedding-provider-configuration) for details
 
 </details>
 
@@ -542,8 +553,7 @@ Claude Context is a monorepo containing three main packages:
 - **`@zilliz/claude-context-mcp`**: Model Context Protocol server for AI agent integration
 
 ### Supported Technologies
-
-- **Embedding Providers**: [OpenAI](https://openai.com), [VoyageAI](https://voyageai.com), [Ollama](https://ollama.ai), [Gemini](https://gemini.google.com)
+- **Embedding Providers**: [OpenAI](https://openai.com), [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-services/openai-service), [VoyageAI](https://voyageai.com), [Ollama](https://ollama.ai), [Gemini](https://gemini.google.com)
 - **Vector Databases**: [Milvus](https://milvus.io) or [Zilliz Cloud](https://zilliz.com/cloud)(fully managed vector database as a service)
 - **Code Splitters**: AST-based splitter (with automatic fallback), LangChain character-based splitter
 - **Languages**: TypeScript, JavaScript, Python, Java, C++, C#, Go, Rust, PHP, Ruby, Swift, Kotlin, Scala, Markdown

docs/getting-started/environment-variables.md

@@ -20,10 +20,14 @@ Claude Context supports a global configuration file at `~/.context/.env` to simp
 ### Embedding Provider
 | Variable | Description | Default |
 |----------|-------------|---------|
-| `EMBEDDING_PROVIDER` | Provider: `OpenAI`, `VoyageAI`, `Gemini`, `Ollama` | `OpenAI` |
+| `EMBEDDING_PROVIDER` | Provider: `OpenAI`, `AzureOpenAI`, `VoyageAI`, `Gemini`, `Ollama` | `OpenAI` |
 | `EMBEDDING_MODEL` | Embedding model name (works for all providers) | Provider-specific default |
 | `OPENAI_API_KEY` | OpenAI API key | Required for OpenAI |
 | `OPENAI_BASE_URL` | OpenAI API base URL (optional, for custom endpoints) | `https://api.openai.com/v1` |
+| `AZURE_OPENAI_API_KEY` | Azure OpenAI API key | Required for Azure OpenAI |
+| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | Required for Azure OpenAI |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Azure deployment name | Required for Azure OpenAI |
+| `AZURE_OPENAI_API_VERSION` | Azure API version | `2024-02-01` |
 | `VOYAGEAI_API_KEY` | VoyageAI API key | Required for VoyageAI |
 | `GEMINI_API_KEY` | Gemini API key | Required for Gemini |
 | `GEMINI_BASE_URL` | Gemini API base URL (optional, for custom endpoints) | `https://generativelanguage.googleapis.com/v1beta` |
@@ -33,6 +37,8 @@ Claude Context supports a global configuration file at `~/.context/.env` to simp
 > **Supported Model Names:**
 > 
 > - OpenAI Models: See `getSupportedModels` in [`openai-embedding.ts`](https://github.com/zilliztech/claude-context/blob/master/packages/core/src/embedding/openai-embedding.ts) for the full list of supported models.
+>
+> - Azure OpenAI: Uses deployment names instead of model names. Supports the same models as OpenAI (text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002).
 > 
 > - VoyageAI Models: See `getSupportedModels` in [`voyageai-embedding.ts`](https://github.com/zilliztech/claude-context/blob/master/packages/core/src/embedding/voyageai-embedding.ts) for the full list of supported models.
 > 
@@ -67,6 +73,8 @@ Claude Context supports a global configuration file at `~/.context/.env` to simp
 ## 🚀 Quick Setup
 
 ### 1. Create Global Config
+
+**Option A: OpenAI**
 ```bash
 mkdir -p ~/.context
 cat > ~/.context/.env << 'EOF'
@@ -77,6 +85,18 @@ MILVUS_TOKEN=your-zilliz-cloud-api-key
 EOF
 ```
 
+**Option B: Azure OpenAI**
+```bash
+mkdir -p ~/.context
+cat > ~/.context/.env << 'EOF'
+EMBEDDING_PROVIDER=AzureOpenAI
+AZURE_OPENAI_API_KEY=your-azure-api-key
+AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com
+AZURE_OPENAI_DEPLOYMENT_NAME=text-embedding-3-small-deployment
+MILVUS_TOKEN=your-zilliz-cloud-api-key
+EOF
+```
+
 See the [Example File](../../.env.example) for more details.
 
 ### 2. Simplified MCP Configuration