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refactor: migrate to spring-ai-mcp-client-spring-boot-starter

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- Replace spring-ai-mcp dependency with spring-ai-mcp-client-spring-boot-starter
- Update import statements from org.springframework.ai.mcp.* to io.modelcontextprotocol.client.*
- Replace McpFunctionCallback with SyncMcpToolCallbackProvider
- Update Spring AI version from 1.0.0-M5 to 1.0.0-SNAPSHOT in multiple projects
- Enable tool callback auto-configuration with spring.ai.mcp.client.toolcallback.enabled

Signed-off-by: Christian Tzolov <christian.tzolov@broadcom.com>
This commit is contained in:
Christian Tzolov
2025-03-24 17:41:02 +01:00
parent 04269db217
commit 6bb3243ad1
14 changed files with 78 additions and 109 deletions
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11
model-context-protocol/sampling/mcp-sampling-client/src/main/java/org/springframework/ai/mcp/samples/client/McpClientApplication.java
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@@ -44,17 +44,16 @@ public class McpClientApplication {
@Bean
public CommandLineRunner predefinedQuestions(OpenAiChatModel openAiChatModel,
ConfigurableApplicationContext context, ObjectProvider<List<McpSyncClient>> mcpClientsProvider) {
ConfigurableApplicationContext context, List<McpSyncClient> mcpClients) {
return args -> {
var mcpToolProvider = new SyncMcpToolCallbackProvider(
mcpClientsProvider.stream().flatMap(List::stream).toList());
var mcpToolProvider = new SyncMcpToolCallbackProvider(mcpClients);
ChatClient chatClient = ChatClient.builder(openAiChatModel).defaultTools(mcpToolProvider).build();
String userQuestion = """
What is the wather in Amsterdam right now?
What is the weather in Amsterdam right now?
Please incorporate all createive responses from all LLM providers.
After the other providers add a poem that synthesizes the the poems from all the other providers.
""";
@@ -69,8 +68,8 @@ public class McpClientApplication {
@Bean
McpSyncClientCustomizer samplingCustomizer(Map<String, ChatClient> chatClients) {
return (name, spec) -> {
spec.sampling(llmRequest -> {
return (name, mcpClientSpec) -> {
mcpClientSpec.sampling(llmRequest -> {
var userPrompt = ((McpSchema.TextContent) llmRequest.messages().get(0).content()).text();
String modelHint = llmRequest.modelPreferences().hints().get(0).name();

3
model-context-protocol/sampling/mcp-sampling-client/src/main/resources/application.properties
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@@ -11,3 +11,6 @@ spring.ai.mcp.client.sse.connections.server1.url=http://localhost:8080
logging.level.io.modelcontextprotocol.client=WARN
logging.level.io.modelcontextprotocol.spec=WARN
# spring.ai.mcp.client.toolcallback.enabled=false