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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers

A high-performance, persistent memory system for the Model Context Protocol (MCP) powered by libSQL with optimized text search for LLM context efficiency.

A production-ready server that exposes Databricks REST capabilities to MCP-compatible agents and tooling.

MCP Advisor is a discovery and recommendation service that helps AI assistants explore Model Context Protocol (MCP) servers using natural language queries.

A Model Context Protocol (MCP) server providing comprehensive stock screening capabilities through Yahoo Finance.

You talk to an AI (Claude, GPT, etc.) in natural language. You say things like "I attack the goblin" or "I search the room for traps." The AI narrates what happens and describes the world.

I created this project to solve a personal problem: I wanted to manage my Roam Research graph directly from (and other LLMs).

This repository demonstrates a simple implementation of a Model Context Protocol (MCP) server for Solana development.

The mcp-kubernetes is a Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters.

The Model Context Protocol (MCP) is an open protocol designed to allow AI agents, IDEs, and automation tools to consume, query, and analyze structured data through context-aware APIs.

用 AI 自动化 BOSS 直聘招聘流程 — 批量搜索、自动获取链接、智能筛选评分、一键导出报告

Model Context Protocol service for accessing Binance cryptocurrency market data.

🚀 A powerful bridge between Ollama and the Model Context Protocol (MCP), enabling seamless integration of Ollama's local LLM capabilities into your MCP-powered applications.
Agent Skills

A custom Claude Code skill: a strict for Python, Bash, Google Apps Script, JavaScript, and Swift/Apple platforms.

xhs-account-teardown

A Copilot CLI skill that analyzes your repository and generates the configuration files AI agents need to contribute correctly.

Practices, protocols, and skills for AI-driven software development

专为 优化的 Codex skill,大幅降低 token 消耗并提升前缀缓存命中率。

AI Unified Process (AIUP) is a requirements-first workflow for taking software from a product vision to reviewed specifications, implementation, and traceable tests.

23 practical agent skills: TeamWorkflow, multi-model review, media ingestion, and writing. Original Claude Code packages plus a Codex desktop edition tuned for Astra. Source for clickai.dev.

Agent-native persistent knowledge management — compile knowledge once, query forever.

MCP server, CLI, and agent skills for Pipefy.

My Codex Skills

Lightweight AI assistant framework in Rust with pluggable LLM providers (Ollama, llama.cpp, vLLM), built-in tool calling, agent skills, and customizable system prompts.

micro-agent orchestrator for local agents