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Advanced PocketBase MCP Server

Mirror of

Advanced PocketBase MCP Server

pocketbase-mcp-server

PocketBase MCP Server

MCP server for building PocketBase apps really quickly - Need a front end quick consider FastPocket

MCP Server for Microsoft Paint

pocketbase-mcp-server MCP Server

Model Context Protocol Server for PocketBase

Advanced PocketBase MCP Server

Mirror of

Pocketbase Mcp

MCP-compliant PocketBase server implementation

Advanced PocketBase MCP Server

pocketbase-mcp-server

MCP Pocket

🔗 Model Context Protocol (MCP) Server for retrieving saved articles from Pocket API and loading them into Claude

Paint Drawing Agent

This project demonstrates an Agentic AI system that uses a Gemini-powered MCP server to interpret natural language instructions and automate Microsoft Paint using GUI simulation tools on Windows.

MSPaint MCP Server with AI-based Planning Algorithms

Using Advanced AI Prompting to enhance LLM planning to solve complex math problems and draw the answer on MSPaint Canvas

Model Context Protocol (MCP) MSPaint App Automation

A simple Model Context Protocol (MCP) server client code to solve math problems and show the solution in MSPaint application

Remote MCP Server on Cloudflare

VACE

VACE（Video Creation and Editing）是阿里巴巴通义实验室推出的一站式视频生成与编辑框架。基于整合多种视频任务（如参考视频生成、视频到视频编辑、遮罩编辑等）到一个统一模型中，实现高效的内容创作和编辑功能。VACE的核心在于Video Condition Unit（VCU），将文本、图像、视频和遮罩等多种模态输入整合为统一的条件单元，支持多种任务的灵活组合。开源的 Wan2

Pocket Flow

Pocket Flow 是极简的 LLM（大型语言模型）框架，仅用 100 行代码实现。具有轻量级、无依赖、无厂商锁定的特点。Pocket Flow支持多Agents、工作流、检索增强生成（RAG）等强大功能，帮助开发者快速构建基于 LLM 的应用程序。基于Agentic Coding范式，AI Agents协助开发，大幅提升开发效率。Pocket Flow 适合希望用极简方式开发 LLM 应用的