A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

An MCP server for image generation and editing based on the OpenAI gpt-image-1 model, supporting the creation and modification of images through text prompts, providing convenient integration methods and rich configuration options.

An image generation and editing tool based on the OpenAI GPT-4o/gpt-image-1 model, supporting image generation through text prompts, image editing (such as repair, extension, composition, etc.), and being compatible with multiple MCP clients.

An image generation server based on the MCP protocol, using the Replicate flux-schnell model, supporting image generation through text prompts and configurable with various parameters.

The MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

The MCP service of ComfyUI provides image generation and prompt optimization functions, supporting automatic size adjustment and random seed generation.

cal2prompt is a command-line tool that can convert Google Calendar schedules into custom prompts or text fragments, supporting template engines and the MCP server mode.

The Image Generation MCP Server is an MCP server that provides image generation functionality for Claude Desktop. It uses the Replicate Flux model, supports generating images through text prompts, and can be installed and configured via Smithery or npm.

The AI Studio MCP Server is a model context protocol server integrated with Google AI Studio/Gemini API, providing content generation functions that support files, conversation history, and system prompts.

An MCP server based on the Google Gemini API, providing image generation functions, supporting image creation through text prompts and automatic uploading to the ImgBB image hosting service.

LetzAI MCP is a model context protocol for image generation. Integrated through the Claude desktop application, it supports generating and upscaling images based on prompts.

An MCP project orchestration tool that provides template management, prompt management, and Mermaid diagram generation functions

This project is a video generation MCP server based on the Google Veo2 model. It supports video generation through text prompts or images and provides MCP resource access functions.

The Roblox Studio MCP server is a TypeScript implementation designed specifically for Roblox Studio development, providing resources, tools, and prompts, and supporting LLM applications to access Roblox Studio documentation, templates, and code generation features through standardized interfaces.

An MCP server based on the Amazon Bedrock Nova Canvas model, providing high-quality AI image generation services, supporting functions such as text description image generation, negative prompt optimization, size configuration, and seed control.

An MCP server based on TypeScript, implementing a simple note system, providing resource management, tool creation, and prompt generation functions, and supporting integration with Claude Desktop.

Unichat MCP Server is a multi-model chat protocol server implemented in TypeScript, which supports sending requests to AI providers such as OpenAI and MistralAI through the MCP protocol and provides preset prompt functions such as code review and document generation.

A TypeScript-based MCP server that implements a simple note-taking system, providing note resource management, creation tools, and summary generation prompt functions.

An MCP server based on TypeScript, implementing a simple note system that provides note resource management, creation tools, and summary generation prompt functions.

An MCP server built on TypeScript and the Gmail API, implementing simple note system functions, including note resource management, creation tools, and summary generation prompts.

A demonstration of a RAG application integrated with an MCP server, featuring document retrieval, context-aware prompt generation, and LLM API integration.

An Image Generation MCP Server based on the OpenAI API, providing functions to create, edit, and combine images through text prompts. It supports multiple models and parameter configurations and can be integrated into compatible MCP clients for use.

The Enkrypt AI MCP Server is a server for integrating red team testing, prompt auditing, and AI security analysis. It is compatible with the Model Context Protocol (MCP) standard and supports functions such as real - time prompt risk analysis and adversarial prompt generation. It can be seamlessly integrated with MCP clients such as Claude Desktop and Cursor IDE.

MockLoop MCP is the world's first AI-native API testing platform integrating the Model Context Protocol (MCP). It revolutionizes API testing through AI-driven scenario generation, automated test execution, and intelligent analysis capabilities. The platform offers 5 AI prompts, 15 scenario resources, 16 testing tools, and 10 context tools, supports a dual-port architecture and stateful testing workflows, and is suitable for enterprise-level compliance and advanced analysis requirements.

Flux ImageGen MCP Server is a dedicated server based on the Model Context Protocol (MCP), focusing on providing image generation and processing functions through Pollinations AI. It supports generating image URLs from text prompts, directly generating images, and managing multiple image generation models.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

This project includes the MCP server and VSCode extension, which generates HTML, CSS, and JavaScript applications through natural language prompts and uses Google LLM technology to achieve AI code generation.

An MCP server that generates prompt words based on Git repository content, supporting functions such as PR description generation.

AI-StoryLab is an intelligent story creation platform based on Next.js that provides functions such as story generation, voice synthesis, sound effect addition, and image generation prompt generation, supporting Chinese and English content creation.

An MCP server based on TypeScript, implementing a simple note system that provides note resource management, creation tools, and summary generation prompt functions.

The MCP Continuity Server is a project status management tool based on MCP SDK 1.7.0. It provides cross - session status saving, repository analysis, and intelligent prompt generation functions, including a Web management interface and support for automated testing.

An image generation MCP server based on the Replicate Flux model that can generate images in various styles through text prompts.

The MCP Continuity Server is a project state management and continuous development tool based on the MCP protocol, providing functions such as project state initialization, repository analysis, and continuity prompt generation.

An MCP server based on TypeScript, implementing a simple note system, providing resource management, tool operation, and prompt generation functions, and supporting integration with Claude Desktop.

An MCP server based on TypeScript that implements a simple note system, including note resource management, creation tools, and summary generation prompt functions.

A TypeScript-based MCP server that implements a simple note system, providing resource management, tool creation, and prompt generation functions.

Overview: MCP (Model Context Protocol) is a framework for AI automation through a standardized protocol, which includes key components such as hosts, clients, servers, local data sources, and remote services. The core lies in the server, which provides context, tools, and prompts for clients. MCP enables AI agents to automate tasks, such as code generation, debugging, and interaction with external services like GitHub repositories.

The Unichat MCP Server is a Python server that supports sending requests to multiple AI providers such as OpenAI and MistralAI via the MCP protocol, providing preset prompt functions such as code review and document generation.

The Video Indexer MCP server provides tools and resources for interacting with the Video Indexer API, supporting the generation and retrieval of prompt content from video insights.