move the brave client starters under the web-search folder

Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>

model-context-protocol/web-search/brave-chatbot/README.md

@@ -24,7 +24,7 @@ This example demonstrates how to build an interactive chatbot that combines Spri
 2. Clone the repository:
    ```bash
    git clone https://github.com/spring-projects/spring-ai-examples.git
-   cd model-context-protocol/brave-chatbot
+   cd model-context-protocol/web-search/brave-chatbot
    ```
 
 3. Set up your API keys:
@@ -57,7 +57,7 @@ The application integrates Spring AI with the Brave Search MCP server through se
 ```xml
 <dependency>
     <groupId>org.springframework.ai</groupId>
-    <artifactId>spring-ai-mcp-spring-boot-starter</artifactId>
+    <artifactId>spring-ai-mcp-client-spring-boot-starter</artifactId>
 </dependency>
 <dependency>
     <groupId>org.springframework.ai</groupId>
@@ -65,11 +65,22 @@ The application integrates Spring AI with the Brave Search MCP server through se
 </dependency>
 ```
 
-2. Application properties (application.properties):
-```properties
-spring.ai.mcp.client.stdio.enabled=true
-spring.ai.mcp.client.stdio.servers-configuration=classpath:/mcp-servers-config.json
-spring.ai.anthropic.api-key=${ANTHROPIC_API_KEY}
+2. Application properties (application.yml):
+```yaml
+spring:
+  ai:
+    mcp:
+      client:
+        enabled: true
+        name: brave-search-client
+        version: 1.0.0
+        type: SYNC  # or ASYNC for reactive applications
+        request-timeout: 20s
+        stdio:
+          root-change-notification: true
+          servers-configuration: classpath:/mcp-servers-config.json
+    anthropic:
+      api-key: ${ANTHROPIC_API_KEY}
 ```
 
 3. MCP Server Configuration (mcp-servers-config.json):
@@ -90,6 +101,15 @@ spring.ai.anthropic.api-key=${ANTHROPIC_API_KEY}
 }
 ```
 
+### Client Types
+
+The MCP client supports two types of implementations:
+
+- **Synchronous (default)**: Uses blocking operations, suitable for traditional request-response patterns
+- **Asynchronous**: Uses non-blocking operations, suitable for reactive applications
+
+You can switch between these types using the `spring.ai.mcp.client.type` property (SYNC or ASYNC).
+
 ### Chat Implementation
 
 The chatbot is implemented using Spring AI's ChatClient with MCP tool integration:
@@ -113,3 +133,23 @@ The chatbot can:
 - Perform web searches when needed using Brave Search
 - Remember context from previous messages in the conversation
 - Combine information from multiple sources to provide comprehensive answers
+
+### Advanced Configuration
+
+The MCP client supports additional configuration options:
+
+- Client customization through `McpSyncClientCustomizer` or `McpAsyncClientCustomizer`
+- Multiple transport types: STDIO and SSE (Server-Sent Events)
+- Integration with Spring AI's tool execution framework
+- Automatic client initialization and lifecycle management
+
+For WebFlux-based applications, you can use the WebFlux starter instead:
+
+```xml
+<dependency>
+    <groupId>org.springframework.ai</groupId>
+    <artifactId>spring-ai-mcp-client-webflux-spring-boot-starter</artifactId>
+</dependency>
+```
+
+This provides similar functionality but uses a WebFlux-based SSE transport implementation, recommended for production deployments.

pom.xml

@@ -27,8 +27,8 @@
 		<module>model-context-protocol/filesystem</module>
 		
 		<module>model-context-protocol/brave</module>
-		<module>model-context-protocol/brave-starter</module>
-		<module>model-context-protocol/brave-chatbot</module>
+		<module>model-context-protocol/web-search/brave-starter</module>
+		<module>model-context-protocol/web-search/brave-chatbot</module>
 
 		<module>model-context-protocol/book-library/manual-webmvc-server</module>
 		<module>model-context-protocol/book-library/manual-webflux-server</module>