MCP Client¶
The MCP Client is a key component in the Model Context Protocol (MCP) architecture, responsible for establishing and managing connections with MCP servers. It implements the client-side of the protocol, handling:
- Protocol version negotiation to ensure compatibility with servers
- Capability negotiation to determine available features
- Message transport and JSON-RPC communication
- Tool discovery and execution with optional schema validation
- Resource access and management
- Prompt system interactions
- Optional features like roots management, sampling, and elicitation support
- Progress tracking for long-running operations
Tip
The core io.modelcontextprotocol.sdk:mcp module provides STDIO, SSE, and Streamable HTTP client transport implementations without requiring external web frameworks.
Spring-specific transport implementations are available as an optional dependency io.modelcontextprotocol.sdk:mcp-spring-webflux for Spring Framework users.
The client provides both synchronous and asynchronous APIs for flexibility in different application contexts.
// Create a sync client with custom configuration
McpSyncClient client = McpClient.sync(transport)
.requestTimeout(Duration.ofSeconds(10))
.capabilities(ClientCapabilities.builder()
.roots(true) // Enable roots capability
.sampling() // Enable sampling capability
.elicitation() // Enable elicitation capability
.build())
.sampling(request -> new CreateMessageResult(response))
.elicitation(request -> new ElicitResult(ElicitResult.Action.ACCEPT, content))
.build();
// Initialize connection
client.initialize();
// List available tools
ListToolsResult tools = client.listTools();
// Call a tool
CallToolResult result = client.callTool(
new CallToolRequest("calculator",
Map.of("operation", "add", "a", 2, "b", 3))
);
// List and read resources
ListResourcesResult resources = client.listResources();
ReadResourceResult resource = client.readResource(
new ReadResourceRequest("resource://uri")
);
// List and use prompts
ListPromptsResult prompts = client.listPrompts();
GetPromptResult prompt = client.getPrompt(
new GetPromptRequest("greeting", Map.of("name", "Spring"))
);
// Add/remove roots
client.addRoot(new Root("file:///path", "description"));
client.removeRoot("file:///path");
// Close client
client.closeGracefully();
// Create an async client with custom configuration
McpAsyncClient client = McpClient.async(transport)
.requestTimeout(Duration.ofSeconds(10))
.capabilities(ClientCapabilities.builder()
.roots(true) // Enable roots capability
.sampling() // Enable sampling capability
.elicitation() // Enable elicitation capability
.build())
.sampling(request -> Mono.just(new CreateMessageResult(response)))
.elicitation(request -> Mono.just(new ElicitResult(ElicitResult.Action.ACCEPT, content)))
.toolsChangeConsumer(tools -> Mono.fromRunnable(() -> {
logger.info("Tools updated: {}", tools);
}))
.resourcesChangeConsumer(resources -> Mono.fromRunnable(() -> {
logger.info("Resources updated: {}", resources);
}))
.promptsChangeConsumer(prompts -> Mono.fromRunnable(() -> {
logger.info("Prompts updated: {}", prompts);
}))
.progressConsumer(progress -> Mono.fromRunnable(() -> {
logger.info("Progress: {}", progress);
}))
.build();
// Initialize connection and use features
client.initialize()
.flatMap(initResult -> client.listTools())
.flatMap(tools -> {
return client.callTool(new CallToolRequest(
"calculator",
Map.of("operation", "add", "a", 2, "b", 3)
));
})
.flatMap(result -> {
return client.listResources()
.flatMap(resources ->
client.readResource(new ReadResourceRequest("resource://uri"))
);
})
.flatMap(resource -> {
return client.listPrompts()
.flatMap(prompts ->
client.getPrompt(new GetPromptRequest(
"greeting",
Map.of("name", "Spring")
))
);
})
.flatMap(prompt -> {
return client.addRoot(new Root("file:///path", "description"))
.then(client.removeRoot("file:///path"));
})
.doFinally(signalType -> {
client.closeGracefully().subscribe();
})
.subscribe();
Client Transport¶
The transport layer handles the communication between MCP clients and servers, providing different implementations for various use cases. The client transport manages message serialization, connection establishment, and protocol-specific communication patterns.
Creates transport for process-based communication using stdin/stdout:
Creates a framework-agnostic (pure Java API) SSE client transport. Included in the core mcp module:
Creates a Streamable HTTP client transport for efficient bidirectional communication. Included in the core mcp module:
McpTransport transport = HttpClientStreamableHttpTransport
.builder("http://your-mcp-server")
.endpoint("/mcp")
.build();
The Streamable HTTP transport supports:
- Resumable streams for connection recovery
- Configurable connect timeout
- Custom HTTP request customization
- Multiple protocol version negotiation
Client Capabilities¶
The client can be configured with various capabilities:
var capabilities = ClientCapabilities.builder()
.roots(true) // Enable filesystem roots support with list changes notifications
.sampling() // Enable LLM sampling support
.elicitation() // Enable elicitation support (form and URL modes)
.build();
You can also configure elicitation with specific mode support:
var capabilities = ClientCapabilities.builder()
.elicitation(true, false) // Enable form-based elicitation, disable URL-based
.build();
Roots Support¶
Roots define the boundaries of where servers can operate within the filesystem:
// Add a root dynamically
client.addRoot(new Root("file:///path", "description"));
// Remove a root
client.removeRoot("file:///path");
// Notify server of roots changes
client.rootsListChangedNotification();
The roots capability allows servers to:
- Request the list of accessible filesystem roots
- Receive notifications when the roots list changes
- Understand which directories and files they have access to
Sampling Support¶
Sampling enables servers to request LLM interactions ("completions" or "generations") through the client:
// Configure sampling handler
Function<CreateMessageRequest, CreateMessageResult> samplingHandler = request -> {
// Sampling implementation that interfaces with LLM
return new CreateMessageResult(response);
};
// Create client with sampling support
var client = McpClient.sync(transport)
.capabilities(ClientCapabilities.builder()
.sampling()
.build())
.sampling(samplingHandler)
.build();
This capability allows:
- Servers to leverage AI capabilities without requiring API keys
- Clients to maintain control over model access and permissions
- Support for both text and image-based interactions
- Optional inclusion of MCP server context in prompts
Elicitation Support¶
Elicitation enables servers to request additional information or user input through the client. This is useful when a server needs clarification or confirmation during an operation:
// Configure elicitation handler
Function<ElicitRequest, ElicitResult> elicitationHandler = request -> {
// Present the request to the user and collect their response
// The request contains a message and a schema describing the expected input
Map<String, Object> userResponse = collectUserInput(request.message(), request.requestedSchema());
return new ElicitResult(ElicitResult.Action.ACCEPT, userResponse);
};
// Create client with elicitation support
var client = McpClient.sync(transport)
.capabilities(ClientCapabilities.builder()
.elicitation()
.build())
.elicitation(elicitationHandler)
.build();
The ElicitResult supports three actions:
ACCEPT- The user accepted and provided the requested informationDECLINE- The user declined to provide the informationCANCEL- The operation was cancelled
Logging Support¶
The client can register a logging consumer to receive log messages from the server and set the minimum logging level to filter messages:
var mcpClient = McpClient.sync(transport)
.loggingConsumer(notification -> {
System.out.println("Received log message: " + notification.data());
})
.build();
mcpClient.initialize();
mcpClient.setLoggingLevel(McpSchema.LoggingLevel.INFO);
// Call the tool that sends logging notifications
CallToolResult result = mcpClient.callTool(new CallToolRequest("logging-test", Map.of()));
Clients can control the minimum logging level they receive through the mcpClient.setLoggingLevel(level) request. Messages below the set level will be filtered out.
Supported logging levels (in order of increasing severity): DEBUG (0), INFO (1), NOTICE (2), WARNING (3), ERROR (4), CRITICAL (5), ALERT (6), EMERGENCY (7)
Progress Notifications¶
The client can register a progress consumer to track the progress of long-running operations:
var mcpClient = McpClient.sync(transport)
.progressConsumer(progress -> {
System.out.println("Progress: " + progress.progress() + "/" + progress.total());
})
.build();
Using MCP Clients¶
Tool Execution¶
Tools are server-side functions that clients can discover and execute. The MCP client provides methods to list available tools and execute them with specific parameters. Each tool has a unique name and accepts a map of parameters.
Tool Schema Validation and Caching¶
The client supports optional JSON schema validation for tool call results and automatic schema caching:
var client = McpClient.sync(transport)
.jsonSchemaValidator(myValidator) // Enable schema validation
.enableCallToolSchemaCaching(true) // Cache tool schemas
.build();
Resource Access¶
Resources represent server-side data sources that clients can access using URI templates. The MCP client provides methods to discover available resources and retrieve their contents through a standardized interface.
Prompt System¶
The prompt system enables interaction with server-side prompt templates. These templates can be discovered and executed with custom parameters, allowing for dynamic text generation based on predefined patterns.