Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Simple MCP SDK in Java 8
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
A comprehensive Model Context Protocol (MCP) server for seamless integration with EspoCRM. This server enables AI assistants to interact with your EspoCRM instance through a standardized interface,...
A generic mcp server fuzzer
A comprehensive platform for managing and proxying Model Context Protocol (MCP) servers, providing scalable AI service orchestration across multiple microservices.
One Go binary. AGPL-3.0. MCP Authorization spec , end-to-end.
Claude Code MCP is an implementation of Claude Code as a Model Context Protocol (MCP) server. This project allows you to use Claude Code's powerful software engineering capabilities through the...
Model Context Protocol, or MCP, is an open protocol that standardizes how applications provide context to LLMs.
A Model Context Protocol (MCP) server for working with TradingView PineScript. This server provides tools for validating, fixing, and generating PineScript code through a standardized API.
A collection of Model Context Protocol (MCP) servers for integrating with various IT service management and remote monitoring platforms.
A and to interact with Model Context Protocol (MCP) servers.
Turn any MCP stdio server into HTTP endpoints your web app can call. Per-user session pooling, real timeout handling with background job fallback, live dashboard.
Agent Skills
AetherViz Master - 互动教育可视化建筑师，将任意教学主题转化为沉浸式3D交互网页
HEY CLI and Agent Skills
High-performance AI coding agent CLI written in Rust with zero unsafe code
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
Generate realistic synthetic security logs for cybersecurity threat hunting training and research.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Powered by , this project orchestrates 14 , each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention.
The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.
Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run.
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An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.