MCP Server Howto
M

MCP Server Howto

The ModelContextProtocol (MCP) Java SDK is a standardized protocol implementation for communication between AI models and external tools or resources. It provides Java development toolkits for both clients and servers, supports synchronous and asynchronous operations, and includes functions such as resource management, tool invocation, and error handling.
2 points
8.7K

What is the MCP Java SDK?

The MCP Java SDK is a standardized protocol implementation for building interactions between AI models and external systems. It allows Java applications to create MCP servers to expose tools and resources to AI models, and also create clients to communicate with these servers.

How to use the MCP Java SDK?

Using the MCP Java SDK mainly involves three steps: 1) Add Maven dependencies. 2) Create client or server instances. 3) Implement business logic. The SDK provides both synchronous and asynchronous operation modes.

Applicable Scenarios

The MCP Java SDK is suitable for scenarios where AI models need to be integrated with external systems, such as AI assistants calling external APIs, AI models accessing databases, and AI systems using external tools.

Main Features

Client Implementation
Provides both synchronous and asynchronous client implementations, supporting resource access and tool invocation.
Server Implementation
Supports both synchronous and asynchronous servers, which can expose resources and tools for clients to use.
Multiple Transport Modes
Supports multiple transport mechanisms such as standard I/O, and can be extended with custom transport implementations.
Resource Management
Supports both static and dynamic resources, and resource content can be accessed through URI pattern matching.
Tool Framework
Provides a complete tool invocation framework, supporting parameter validation and result return.
Error Handling
A standardized error handling mechanism that provides clear error codes and messages.
Advantages
Standardized protocol to ensure interoperability between different systems
Supports both synchronous and asynchronous modes to meet different scenario requirements
Modular design for easy extension and customization
A complete error handling mechanism
Rich documentation and sample code
Limitations
Currently only supports Java language implementation
Requires certain Java development experience to make full use of it
The asynchronous mode requires an understanding of reactive programming concepts

How to Use

Add Maven Dependencies
Add the MCP SDK dependency to the project's pom.xml file.
Create a Client
Use the McpClient factory class to create a synchronous or asynchronous client instance.
Create a Server
Use the McpServer factory class to create a synchronous or asynchronous server instance.
Implement Business Logic
Implement business logic such as resource handlers and tool handlers according to requirements.

Usage Examples

Code Analysis Tool
Create a code analysis tool that receives code snippets and returns analysis results.
User Data Resource
Create a dynamic resource that returns user data based on the user ID.
Calculator Tool
Create a simple calculator tool to perform basic arithmetic operations.

Frequently Asked Questions

What transport modes does the MCP Java SDK support?
How to extend the SDK to add custom features?
What's the difference between synchronous and asynchronous modes?
How to handle errors on the server side?
What are the limitations of resource URIs?

Related Resources

MCP Specification Document
The official specification document of the Model Context Protocol
MCP Java SDK Documentation
The official documentation of the MCP Java SDK
GitHub Repository
The source code of the MCP Java SDK
Sample Code
Sample code for various usage scenarios

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
4.4K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
5.6K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.2K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.4K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.3K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.7K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.2K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.2K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
35.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
71.5K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
64.1K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase