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Chainlit Demo with MCP Servers

by 0GiS0

AI/Chatbots & AssistantsChainlitMCP ServersAzure OpenAIDev Containers

This repository provides an environment to test MCP Servers using Chainlit. It allows users to add and configure MCP servers to enhance chat applications.

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What is Chainlit Demo with MCP Servers?

This demo showcases how to integrate Model Context Protocol (MCP) Servers with a Chainlit application. It enables users to extend the capabilities of their chat applications by connecting to external data sources and functionalities through MCP Servers.

How to use Chainlit Demo with MCP Servers?

  1. Clone the repository and open it in VSCode using Dev Containers.
  2. Configure Azure OpenAI credentials in the .azure.env file.
  3. Run the application using chainlit run app.py -w.
  4. Add MCP servers via the chat interface, for example, the Filesystem server using npx -y @modelcontextprotocol/server-filesystem /workspaces/chainlit-demo.
  5. Interact with the added MCP servers through chat prompts.

Key features of Chainlit Demo with MCP Servers

  • Integration with Chainlit

  • Support for MCP Servers

  • Azure OpenAI integration

  • Dev Container setup

  • Dynamic server addition through chat interface

Use cases of Chainlit Demo with MCP Servers

  • Extending chatbot knowledge with external data

  • Integrating file system access into chat interactions

  • Connecting to various data sources via MCP

  • Enabling AI models to interact with real-world data

FAQ from Chainlit Demo with MCP Servers

What is Chainlit?

Chainlit is an open-source Python framework that makes it incredibly easy to build and deploy LLM-powered applications.

What are MCP Servers?

Model Context Protocol (MCP) Servers provide a standardized way to connect Large Language Models (LLMs) to external data sources and functionalities.

How do I configure Azure OpenAI?

You need to provide your Azure OpenAI API key, endpoint, API version, and model name in the .azure.env file.

Why use Dev Containers?

Dev Containers provide a consistent development environment, eliminating the need to install dependencies locally.

Can I use other MCP Servers besides Filesystem?

Yes, you can integrate any MCP Server that is compatible with the Model Context Protocol.