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interactive-mcp

Ask users questions from your LLM! interactive-mcp: Local, cross-platform MCP server for interactive prompts, chat & notifications.

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4o-image MCP Server

An MCP server implementation that integrates with 4o-image API, enabling LLMs and other AI systems to generate and edit images through a standardized protocol. Create high-quality art, 3D characters,

MCP Server

A clean architecture MCP server implementation with support for multiple transports (SSE and STDIO). Provides extensible tools, resources, and prompts following SOLID principles for real-time AI model

Building a Simple MCP Server in Python Using the MCP Python SDK

The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (t

Mcpn

orchestrate & combine prompts + MCP servers into compound MCP tools

URL-Based MCP Server

URL MCP is a proof of concept stateless MCP server builder that allows users to build MCP servers without writing or hosting code. It's intended for protocol and security experimentation rather than f

Gemini Image Generator MCP Server

MCP server for AI image generation and editing using Google's Gemini Flash models. Create images from text prompts with intelligent filename generation and strict text exclusion. Supports text-to-imag

ADEO CTI MCP Server

The Shodan MCP Server by ADEO Cybersecurity Services provides cybersecurity professionals with streamlined access to Shodan's powerful reconnaissance capabilities through an intuitive Model Context Pr

D&D Knowledge Navigator

MCP Server implementation of the DnD 5e API using resources, tools, and prompts.

Opik Mcp

Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.

Standardizing LLM Interaction with MCP Servers

Short and sweet example MCP server / client implementation for Tools, Resources and Prompts.

Comfy MCP Server

A server using FastMCP framework to generate images based on prompts via a remote Comfy server.

Napier - configure MCP directly from prompts.

Napier helps you install MCP servers from prompt.

Blue Bridge

Sample prompts and recipes for using Model Context Protocol (MCP) server to query and manage Azure resources — scenarios include Azure Managed Grafana, Azure Data Explorer (Kusto), Azure Resource Grap

cron-mcp

An MCP server which allows your agent to schedule tasks and prompts at certain times.

ai-web-automation

Creating ai-web-automation project for implementing use of AI prompts and MCP server in automation testing

📓 GistPad MCP

📓 An MCP server for managing your personal knowledge, daily notes, and re-usable prompts via GitHub Gists

crawl4ai

🚀🤖 Crawl4AI：开源 LLM 友好型网络爬虫和抓取工具。 Crawl4AI 是 GitHub 上排名第一的热门代码库，由充满活力的社区积极维护。它提供速度超快、AI 就绪的 Web 爬取功能，专为 LLM、AI 代理和数据管道量身定制。Crawl4AI 开源、灵活，专为实时性能而构建，为开发者提供无与伦比的速度、精度和部署便捷性。 ✨ 查看最新更新 v0.6.0 🎉 0.6.

MMaDA

MMaDA（Multimodal Large Diffusion Language Models）是普林斯顿大学、清华大学、北京大学和字节跳动推出的多模态扩散模型，支持跨文本推理、多模态理解和文本到图像生成等多个领域实现卓越性能。模型用统一的扩散架构，具备模态不可知的设计，消除对特定模态组件的需求，引入混合长链推理（CoT）微调策略，统一跨模态的CoT格式，推出UniGRPO，针对扩散基础模型的统

Moondream

Moondream是一个免费开源的小型的人工智能视觉语言模型，虽然参数量小（Moondream1仅16亿，Moondream2为18.6亿）但可以提供高性能的视觉处理能力，可在本地计算机甚至移动设备或 Raspberry Pi 上运行，能够快速理解和处理输入的图像信息并对用户提出的问题进行解答。该模型由开发人员vikhyatk推出，使用SigLP、Phi-1.5和LLaVa训练数据集和模型权重初始

Dolphin

Dolphin 是字节跳动开源的轻量级、高效的文档解析大模型。基于先解析结构后解析内容的两阶段方法，第一阶段生成文档布局元素序列，第二阶段用元素作为锚点并行解析内容。Dolphin在多种文档解析任务上表现出色，性能超越GPT-4.1、Mistral-OCR等模型。Dolphin 具有322M参数，体积小、速度快，支持多种文档元素解析，包括文本、表格、公式等。Dolphin的代码和预训练模型已公开，

Qoder

Qoder是阿里巴巴推出的 AI Agentic 编程工具，深度理解整个代码库架构，记忆并学习你的习惯，支持MCP工具生态扩展，提供上下文感知补全、内联聊天和一键「维基化」代码结构，自动选最佳模型。Qoder不是简单的代码补全工具，试图成为开发者真正的「思维伙伴」。预览阶段全功能免费开放，助力开发者专注解决真实软件难题。如何使用Qoder访问官网：使用电脑浏览器访问Qoder官网（https://

AI Music Generator - Create Songs & Music Online Free

Generate high-quality, royalty-free music with AI. Create songs from text prompts in seconds. No musical experience required. 20 free credits daily.