Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP AI Chat LangChainexplain how to set up the LangChain environment"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP AI Chat LangChain Example
A basic implementation of a Model Context Protocol (MCP) server that demonstrates core functionality, including tools and resources. This guide will walk you through the steps to initialize, inspect, and integrate the server.
Getting Started
Before you begin, ensure you have the following installed:
Python (Version 3.8 or later)
uv CLI
To verify your installation, run:
Initialization
To initialize the project, navigate to a local folder of your choice and launch your terminal (PowerShell or CMD). Then, run:
Create a virtual environment
To add a new dependency
This will set up the project directory and install the necessary dependencies.
To execute the project
Related MCP server: MCP Server Demo