Test Neon MCP Server Waku
This project demonstrates how to integrate the Anthropic API through Neon's MCP server and customize the chat interface using Waku and React Server Components.
rating : 2 points
downloads : 12
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
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
827
4.3 points

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
85
4.3 points

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
1.7K
5 points

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
140
4.5 points

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#
563
5 points

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
6.7K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
752
4.8 points

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
282
4.5 points