The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

MiniMax's official Model Context Protocol (MCP) server supports interactions with APIs such as text-to-speech, video/image generation.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

An MCP server based on TypeScript that integrates the Flux Schnell model to implement text-to-image generation functionality

The Kobold MCP Server is a server implementation based on the Model Context Protocol, used for integrating with KoboldAI, providing functions such as text generation, chat completion, and OpenAI - compatible API.

The OpenSCAD MCP Server is a service for generating parametric 3D models from text or images. It supports multi - view reconstruction, AI image generation, remote CUDA processing, and workflow approval, and finally outputs OpenSCAD - compatible model files.

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 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.

MiniMax MCP JS is a MiniMax Model Context Protocol toolkit implemented in JavaScript/TypeScript, providing functions such as text-to-speech, image generation, video generation, and voice cloning, and supporting multiple configuration methods and transmission modes.

An MCP server based on Google's Gemini model, providing text-to-image generation and image transformation functions, supporting high-quality image generation, smart file name generation, and local storage.

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.

A simplified MCP server based on the Chatterbox TTS model, providing text-to-speech generation and automatic playback functions, supporting real-time progress notifications and automatic model loading.

Loom is an MCP server that enables users to collaborate with the base model to construct text and optimize the quality of long text creation through short - fragment iteration generation and selection.

The Zonos MCP integration project provides text-to-speech functionality for Claude, enabling direct voice generation through the Model Context Protocol, and supporting multi-language and emotional intonation settings.

LMStudio-MCP is a model control protocol server used to establish a communication bridge between Claude and the locally running LM Studio LLM models, enabling functions such as model health check, list retrieval, and text generation.

Outsource MCP is a unified interface service that supports multiple AI model providers. Through the MCP protocol, AI applications can conveniently call the text and image generation capabilities of different manufacturers.

This project is a server for the Gemini model based on the MCP protocol, encapsulating Google's Gemini API and providing functions such as text generation, function calling, and file handling.

The AI Video Generation MCP Server supports text and image input to generate dynamic videos, providing multiple parameter controls and model selections.

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.

NijiVoice-MCP is an in - development project that implements the integration of the Model Context Protocol (MCP) with the Niji Voice API, enabling LLMs to easily call Niji Voice's text - to - speech functions through the MCP interface, including voice generation, getting the list of voice actors, and querying the balance.

Groq MCP Server is a service that provides fast model inference through the Model Context Protocol (MCP), supporting various functions such as text generation, voice conversion, image analysis, and batch processing.

The Flux Image MCP Server is an image generation service based on the Flux Schnell model. It provides an API interface through the Replicate platform and supports image generation through text descriptions.

A text-to-image generation MCP server based on the Gemini model

An MCP server based on Google Gemini's image generation model that allows AI agents to generate, edit, and describe images through text prompts, supporting multiple models and configuration options.

The Doctranslate.io MCP Server is a document translation service based on the Model Context Protocol (MCP), providing multi - language document translation, text translation, slide generation, and translation history management functions.

This project implements an MCP server that provides image generation and editing functions through OpenAI's gpt-image-1 model. It supports generating images based on text descriptions, editing or repairing images based on reference images, and saving the results locally.

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 TRELLIS Blender plugin integrates advanced text/image - to - 3D model generation capabilities into Blender, supports generating textured 3D meshes from text or images, and provides detail adjustment functions. The plugin also integrates the MCP service and can communicate with tools such as Cursor/Windsurf.

The Qwen Max MCP Server is a model context protocol server implementation based on Node.js/TypeScript, designed specifically for the Qwen Max language model, supporting integration with Claude Desktop and providing stable text generation services.

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.

The D2 MCP Server is a model context protocol server that provides D2 chart generation and operation functions. It supports creating, rendering, exporting, and saving D2 charts through text and has the ability of incremental editing.

A local LLM inference MCP server based on Playwright and Web-LLM, realizing text generation, chat interaction, and model management functions through browser automation.

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.

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.

An HTTP-based image generation server that generates images based on text descriptions by calling Replicate's Flux Schnell model.

An image - generating MCP server based on the FLUX model, providing functions such as text - to - image conversion, batch generation, and custom parameters

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.

An MCP server implementation based on the Cloudflare Flux 1 Schnell AI model, providing a service interface for text-to-image generation.

Agent Payment MCP is a one-click installer that adds over 55 advanced tools to AI programming assistants such as Claude Desktop and Cursor, including intelligent mathematical calculations, synthetic data generation, text processing, Python isolated operation, network tools, and encrypted storage, etc. It adopts a pay-per-use model.