Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.
MCP server that gives AI assistants the power to control a web browser.
This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.
🧠 Self-Reflecting AI Queries → MCP Protocol Integration → Intelligent Vulnerability Scanning
Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client.
Clojure MCP
Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero runtime deps, SQLite, MCP. Benchmarked retrieval with an opt-in TypeSafe Jev reranker.
Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.
MCP Server for Turkish & American Stock Exchange and Fund Data
LLDB MCP Integration + other helpful commands
MCP server for Docker
Claude spawning scene objects and controlling their transformations and materials, generating blueprints, functions, variables, adding components, running python scripts etc.
Agent Skills
國立成功大學 資訊工程研究所 ｜ 114 學年度 第 2 學期 ｜ 3 學分 授課教師：莊坤達 ([email protected])
Resource as Code for Apache Kafka and beyond Topics, ACLs, schemas, quotas, and connectors: declared in Git, reconciled against your real clusters. Kafka-first. Platform-ready.
An OpenCode and Codex CLI plugin that bundles agent skills, MCP servers, parallel execution, and superpowers into a single install.
An open, local-first visual prompt archive with two installable Agent Skills:
[Documentation] [Quick Start] [简体中文] [Tiếng Việt]
A collection of reusable skills that give AI Agents expertise in Flux CD, Kubernetes, and GitOps best practices for generating manifests, answering Flux questions, auditing repository structure,...
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
Reusable agent skills for Codex and other Agent Skills compatible tools.
⚡️🎉A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs
🤗 image matching webui
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, on your machine.
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.