Spring MCP Client
This MCP client integrates with Spring AI and supports protocols for AI chat, utilizing models like Anthropic Claude and OpenAI. It manages server connections, protocol negotiations, message exchanges, and tool discovery, facilitating seamless AI chat functionalities in Java applications.
Added on:
Created by:
Feb 26 2025
This MCP client integrates with Spring AI and supports protocols for AI chat, utilizing models like Anthropic Claude and OpenAI. It manages server connections, protocol negotiations, message exchanges, and tool discovery, facilitating seamless AI chat functionalities in Java applications.
Added on:
Created by:
Feb 26 2025
ğı
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What is Spring MCP Client?
The Spring MCP Client is designed to establish and manage connections with MCP protocol-supported servers, enabling AI-powered chat interactions. It supports protocol version and capability negotiation, JSON-RPC communication, and tool execution. The client allows interaction with models like Anthropic Claude and OpenAI, providing functionalities such as resource management, prompt handling, and feature support including roots and sampling. Built with Java 17+, it offers a robust platform for integrating advanced AI chat capabilities into applications, with optional Docker support for easy deployment.
Who will use Spring MCP Client?
- Developers building AI chat applications
- Organizations integrating MCP protocol-supported servers
- AI researchers working on protocol implementations
- Businesses utilizing AI for customer service
- Java developers seeking AI integration tools
How to use the Spring MCP Client?
- Step1: Clone the repository from GitHub
- Step2: Configure mcp-servers.json with your MCP server details
- Step3: Set up application.yml with server and API keys
- Step4: Build the project using Maven
- Step5: Run the application with Maven spring-boot
- Step6: Access the chat endpoint via localhost
- Step7: Send chat messages using curl or HTTP clients
Spring MCP Client's Core Features & Benefits
The Core Features
- Protocol version negotiation
- Capability negotiation
- Message transport via JSON-RPC
- Tool discovery and execution
- Resource and prompt management
- Support for OpenAI and Anthropic models
- Roots management and sampling support
The Benefits
- Enables seamless AI chat interactions in Java applications
- Supports multiple models and protocols for flexibility
- Facilitates integration with MCP servers for scalable AI deployment
- Provides capability negotiation for feature compatibility
- Supports tool and resource management for enhanced functionality
Spring MCP Client's Main Use Cases & Applications
- Building AI chatbots for customer service platforms
- Integrating AI-powered assistants in enterprise applications
- Research projects requiring protocol-based AI interactions
- Automation of resource access and management via AI
- Developing multilingual AI chat interfaces
FAQs of Spring MCP Client
Developer
- ogulcanarbc
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