What is the difference between synchronous and asynchronous clients?
`McpSyncClient` blocks on each call, while `McpAsyncClient` returns Reactor `Mono` objects for non‑blocking operation and requires an explicit `initialize().block()` call.
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Basic information
Instructions for an AI on how to create a Java based mcp server and client
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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The Model Context Protocol (MCP) is a standardized protocol for communication between AI models and external tools or resources. This Java SDK provides a robust implementation, enabling Java applications to create MCP servers that expose tools and resources to AI models, as well as MCP clients that communicate with these servers.
Add the MCP BOM to your project's dependency management, then include the core mcp artifact. Use the builder pattern to create a McpSyncClient or McpAsyncClient, providing a transport (e.g., StdioClientTransport) and client info. Then call methods like readResource, callTool, listPrompts, or getPrompt. Close the client after use.
McpSyncClient) and asynchronous (McpAsyncClient) client implementationsMcpSyncServer, McpAsyncServer) for exposing resources and tools`McpSyncClient` blocks on each call, while `McpAsyncClient` returns Reactor `Mono` objects for non‑blocking operation and requires an explicit `initialize().block()` call.
The SDK includes `StdioClientTransport` for stdio‑based communication. HTTP/SSE transports require the `jakarta.servlet-api` dependency (version 5.0.0, scope provided).
Use the MCP BOM (`mcp-bom:0.8.0`) for version management, then add the core `mcp` artifact. For HTTP/SSE, include `jakarta.servlet-api:5.0.0`. Testing utilities are in the `mcp-test` artifact.

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