Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers

A Model Context Protocol (MCP) server that provides network asset information based on query conditions.

Bonsai-mcp is a fork of BlenderMCP that extends the original functionality with dedicated support for IFC (Industry Foundation Classes) models through Bonsai.

Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration

Local MCP server for controlling TikTok LIVE Studio through its verified Stream Deck Socket.IO channel.

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing

Community plugin to control Blender 3D with any LLM of your choice

A Model Context Protocol (MCP) server that provides seamless integration with the GoHighLevel API v2.

Chrome DevTools for coding agents

A server that implements the Model Context Protocol (MCP) for iOS simulators, built on top of appium-ios-simulator and utilizing the MCP TypeScript SDK.

A Python application for controlling REAPER Digital Audio Workstation (DAW) using the MCP(Model context protocol).

Build a route-first MCP server in Laravel and Lumen

OpenFate Bazi MCP is a Model Context Protocol server for accurate Bazi / Four Pillars calculation inside AI agents such as Claude Desktop, Cursor, Cline, and Continue.
Agent Skills

The Best AI Agent Framework for Agent Collaboration.

The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project

Agent Skills

- : Turn your idea into a video using your coding agent. - : Edit and animate using drag and drop. - : Connect to data, and manage complexity with code.

Reverse-engineer any design system into a Claude-ready skill. Pure static analysis. No AI. No API keys.

Craft AI-driven interface effortlessly🤖

Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents

- [2026/05/01] 🔥 (📃Paper) has been released.

A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...

"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein

Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.

LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.