What credentials are required?
Azure OpenAI API key, endpoint, API version, and model must be set in the `.azure.env` file.
@0GiS0
基本情報
概要はまだありません
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
This repository provides a demo environment for testing MCP (Model Context Protocol) Servers using Chainlit. It is intended for developers who want to experiment with MCP servers integrated into a chat interface, requiring only Azure OpenAI credentials to run.
Open the repository in VSCode and select the option to open in a Dev Container (no local installation needed). Add your Azure OpenAI credentials (API key, endpoint, API version, model) to the .azure.env file, then run chainlit run app.py -w. Through the chat interface, you can add MCP servers (e.g., filesystem) by providing a name and the corresponding npx command.
Azure OpenAI API key, endpoint, API version, and model must be set in the `.azure.env` file.
Through the chat interface, click the MCP Servers icon, provide a name and the command (e.g., `npx -y @modelcontextprotocol/server-filesystem /workspaces/chainlit-demo`).
No local installation; only Visual Studio Code with Dev Containers support and a running Docker environment.
It operates on the predefined workspace path `/workspaces/chainlit-demo` in the container.
Yes, you can add any MCP Server by specifying its name and the appropriate command. The README only illustrates the filesystem server.

A free remote MCP server for The Living Bread. Bible passages read word for word from a stored public domain text with an evidence label, keyword search and cross references, real churches, gatherings and prayer groups w
Painless E2E Automation for Mobile and Web
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
コメント