What are the prerequisites to use 개요?
Claude Desktop, Python 3.10, Bash, and WSL (Windows Subsystem for Linux) must be installed.
@iksadNorth
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
개요 is a toy project that builds an MCP (Model Context Protocol) server by following a video example. It is designed to work with Claude Desktop as the MCP client.
Create a .env file by referencing .env.template, then run source scripts/init.sh to initialize the environment. After that, launch Claude Desktop to use the server.
—
—
Claude Desktop, Python 3.10, Bash, and WSL (Windows Subsystem for Linux) must be installed.
Copy the `.env.template` file to `.env`, then run `source scripts/init.sh` in your terminal.
개요 is designed to be used with Claude Desktop as the MCP client.
No. The README describes it as a simple toy project built by following a video tutorial.

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
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
Painless E2E Automation for Mobile and Web
Hindsight: Agent Memory That Learns
Comments