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MCP Servers
Public MCP Server README: capability boundaries, auth, install, and dangerous-tools disclosure.
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AI audio engineering system: MCP server + Claude Code skills for professional automated mixing and mastering
MCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.
swagger-mcp is a tool that reads a Swagger 2.0 or OpenAPI 3.0 specification and dynamically generates MCP tools at runtime — one tool per API endpoint.
用 Claude Code 直接控制你的 TradingView 桌面版。讀圖、改圖、寫 Pine Script、跑晨間掃描——全部用對話完成。
An MCP server for reading, rendering, and searching PDF files. Built with PyMuPDF and PyMuPDF4LLM.
An MCP server that integrates with the Freqtrade cryptocurrency trading bot via its REST API, enabling seamless AI agent interaction for automated trading operation.
A Claude Code plugin that turns Remotion from a motion graphics tool into a .
CLI-based tester for verifying that MCP servers work correctly when called directory and by agents
1 MCP to rule all them chains
一个功能强大的知乎收藏夹导出工具，支持将知乎收藏夹（公开和私密）批量导出为 Markdown 格式文件。支持自定义输出路径、跨平台兼容、图片下载和 Obsidian 兼容格式。支持使用大模型API一键生成文章总结。
Agent Skills
以繁體中文完成短篇／豎屏短劇的選題、結構、角色、分場、臺詞、衝突、反轉、格式與修改。
is a graph-centric framework for orchestrating Multi-Agent Systems with :
CharacterArc（弧光）不是"只会对话的 AI 壳子"，而是一套围绕小说项目组织、章节写作与 AI 协作搭起来的桌面工作台。
Reusable XCrawl skill definitions for multi-agent runtimes, focused on API-first web data workflows. Canonical repository: https://github.com/xcrawl-api/xcrawl-skills
16 cohesive skills + 2 custom subagents walk an idea from brainstorm through implementation, with checkpoints throughout where you stay in control.
🌐 ：dg-ai-notes.pages.dev —— 双轨教程 · 沉浸式阅读 · 深浅色主题
see README.en.md for the full English version.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
An agent that helps Indian individual taxpayer prepare and e-file an Income Tax Return (ITR-1/2/3/4) on the official portal — under .
AgentOps is the operations layer for agentic engineering.
Stop AI agents from doing things you didn't ask for.
From real materials to reports with a fully autonomous & skill-driven researcher.