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Test Neon MCP Server Waku

該項目使用Waku和React服務器組件演示如何通過Neon的MCP服務器集成Anthropic API及自定義聊天界面。
2分
14

What is Neon MCP Server?

Neon's MCP Server is a protocol for managing model contexts in AI applications. This repository demonstrates its integration with Anthropic's API using React Server Components (RSC) through the Waku framework.

How to use this implementation?

The implementation provides a chat interface where server components handle AI requests and client components manage user interactions. It requires both Neon and Anthropic API keys.

Use Cases

Ideal for building AI-powered chat applications with server-side processing, maintaining conversation context, and integrating multiple AI services.

Key Features

React Server Components IntegrationLeverages Waku framework for RSC implementation, allowing server-side processing of AI requests.
Dual API IntegrationCombines Neon MCP Server with Anthropic API for enhanced AI capabilities.
Modular ArchitectureSeparates server-side (Chat) and client-side (ChatForm) components for clean implementation.

Pros and Cons

Advantages
Server-side processing improves performance and security
Clean separation between server and client responsibilities
Easy integration with multiple AI services
Limitations
Requires understanding of React Server Components
Needs API keys from multiple providers
Currently experimental implementation

Getting Started

Set up environment
Rename .env.example to .env and add your Neon and Anthropic API keys
Install dependencies
Install all required npm packages
Run development server
Start the development environment

Implementation Examples

Chat InterfaceBasic chat implementation with server-side processing

Frequently Asked Questions

What is Waku?
Where do I get API keys?
Can I use this with other AI providers?

Additional Resources

Waku Framework
Official Waku documentation
Neon MCP Server Docs
Official Neon MCP Server documentation
GitHub Repository
Neon MCP Server source code
Implementation Blog Post
Detailed explanation of this implementation
安裝
複製以下命令到你的Client進行配置
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