Test Neon MCP Server in React Server Components
LocalAbout Test Neon MCP Server in React Server Components
A Waku and React Server Components demo showing Neon’s MCP Server in a custom chat interface with the Anthropic API. It is for developers exploring a server-side integration pattern.
Key features
- 01Waku and React Server Components demo
- 02Custom chat interface
- 03Server-side request handling
- 04Anthropic API configuration
Use cases
- 01Trying Neon’s MCP Server in an RSC app
- 02Exploring server-side chat requests
MCP support
Demonstrates using Neon’s MCP Server with the Anthropic API in a React Server Components application.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETest Neon MCP Server in React Server Components
This repository uses waku and React Server Components to demonstrate how to use Neon's MCP Server with the Anthropic API and a custom chat interface.
You can read more about this experiment on my blog: How to use Neon's MCP Server with React Server Components
Getting Started
This repo requires a Neon API key and an Anthropic API key. Rename .env.example to .env and update with your API keys
Install Dependencies
npm install
Run Development Server
npm run dev
💬 Chat
There are two components required to test Neon's MCP server with the Anthropic API. They are detailed below.
Chat Component (server only)
The <Chat /> Component located in src/components/chat.tsx is responsible for handling the server-side requests.
ChatForm Component (client only)
The <ChatForm /> Component located in src/components/chat-form.txt is responsible for handling the textarea input, and sending the message to the server.
Helpful Links
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.