
defang-mcp
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MCP
This is a sample of a Model Context Protocol (MCP) chatbot application built with Next.js, Python, and Anthropic Claude, deployed using Defang.
This example uses Docker's mcp/time
image as a base for the MCP Server (with MCP tools included), but it can be adapted to use any of the Docker MCP images.
How It Works
Service 1 (Web Server with UI)
The web server and UI are built in Next.js (see /service-1/src/app
). The web server includes a forwarding action to connect to the MCP Client.
Service 2 (MCP Client and MCP Server)
The MCP Client is written in Python and ran in a venv
virtual environment. The MCP server is provided by the Docker mcp/time
image. The MCP Server communicates with the MCP Client in a Quart app (i.e. Asynchronous Server Gateway Interface (ASGI) version of Flask) through the stdio
transport method, as seen in /service-2/main.py
. For more on MCP transport methods, see here.
Here's a breakdown of what happens when a user interacts with the UI:
- When a user submits a query to the chatbot, the browser sends a request to the Next.js web server.
- The Next.js web server will forward this request to the MCP Client via a REST endpoint.
- The MCP Client processes the request by interacting with the Anthropic (Claude) API and tools available through the MCP Server.
- Once the response is generated, it is sent back to the Next.js web server and displayed to the user in the UI.
Prerequisites
- Download Defang CLI
- (Optional) If you are using Defang BYOC authenticate with your cloud provider account
- (Optional for local development) Docker CLI
Development
To run the application locally, you can use the following command:
docker compose up --build
Configuration
For this sample, you will need to provide the following configuration:
Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you.
ANTHROPIC_API_KEY
An API key for accessing the Anthropic Claude API.
defang config set ANTHROPIC_API_KEY
Deployment
[!NOTE] Download Defang CLI
Defang Playground
Deploy your application to the Defang Playground by opening up your terminal and typing:
defang compose up
BYOC
If you want to deploy to your own cloud account, you can use Defang BYOC.
Title: Model Context Protocol (MCP) Chatbot
Short Description: An MCP (Model Context Protocol) chatbot assistant built with Next.js, Python, and Anthropic Claude.
Tags: MCP, Next.js, Python, Quart, Claude, AI, Anthropic, TypeScript, React, JavaScript
Languages: nodejs, python
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Reviews

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