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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
This is the official repository for submitting MCP servers to be included in Cline's MCP Marketplace.
the MPP (Machine Payments Protocol) 402 challenge is , as a card-free enrolment lane for agents holding a Tempo wallet.
A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.
EnrichMCP is a Python framework that helps AI agents understand and navigate your data. Built on MCP (Model Context Protocol), it adds a semantic layer that turns your data model into typed,...
MCP server for reverse engineering tasks in Ghidra 👩💻
Open-source TypeScript terminal coding agent for DeepSeek-V4 — builds on DeepSeek's strong price-performance and ultra-cheap cache pricing, engineering byte-stable prefixes and cache-reusing forks so...
a magical desktop app that lets you chat with local or remote LLMs, schedule hourly or daily tasks, all superpowered by MCP
Enterprise-ready MCP Gateway & Registry that centralizes AI development tools with secure OAuth authentication, dynamic tool discovery, and unified access for both autonomous AI agents and AI coding...
MCP Server para 70 APIs públicas brasileiras
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.
![License][license] ![Crates][crates] ![Documentation][crates_documentation] ![Crates.io][crates] ![PyPI][pypi] ![Python][pypi] ![PyPI][pypi]\ Unofficial Tapo API Client.
Interactive User Feedback MCP
Agent Skills
This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.
简单说，就是跟 Claude 说一句话，它会帮我从每天的新论文里筛一轮，挑出值得看的，再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令，基本就是：