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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A comprehensive suite of Model Context Protocol (MCP) servers from Kukapay.
An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.
This project contains a .NET web app implementation of a Model Context Protocol (MCP) server. The application is designed to be deployed to Azure App Service.
Docs • Quickstart • API Reference • Discord
A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.
A MCP client for browser-use
A framework for testing MCP (Model Context Protocol) client and server implementations against the specification.
This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.
Build lightweight MCP servers in plain Java with annotations, generated schemas, and no Spring runtime
A Model Context Protocol (MCP) server for fetching Instagram posts using Chrome's existing login session.
A server that ingests and serves Swagger/OpenAPI specifications through the Model Context Protocol (MCP).
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.
Agent Skills
Ti*k*Z is a wonderful awesome graph drawing package for TeX/LaTeX/ConTeXt. Unlike other TeX packages, TikZ itself is really huge, its manual contains about 1100+ pages, 100+ chapters.
⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
SkillsBench evaluates how well skills work and how effective agents are at using them.
Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
is the open-source, MIT-licensed agent skill powered by the world's first agentic AI user researcher.
— The node schema bundled with n8n-as-code is built against the latest stable release of n8n. Keep your n8n instance up to date for best generation and validation results.