invokeai-mcp-server
MCP ServerFreeAI-powered image generation, transformation, and upscaling for Claude Code using your local InvokeAI instance. ## Overview The InvokeAI MCP Server bridges Claude Code with InvokeAI, enabling seamless AI-assisted image creation directly from your development environment. Perfect for generating logo
- Best for
- text-to-image generation, image-to-image transformation, ai-powered upscaling
- Type
- MCP Server · Free
- Score
- 39/100
- Best alternative
- AWS MCP Servers
- Agent-compatible
- Yes — MCP protocol
Capabilities5 decomposed
text-to-image generation
Medium confidenceThis capability utilizes the Stable Diffusion 1.5 and SDXL models to generate images from natural language descriptions. It integrates with the InvokeAI framework, allowing for seamless processing of user inputs and leveraging GPU acceleration for efficient image rendering. The system automatically configures model parameters based on the input, ensuring optimal output quality tailored to user specifications.
Integrates directly with local InvokeAI instances, allowing for real-time image generation without cloud dependencies.
Faster and more customizable than cloud-based alternatives, as it operates entirely on local hardware.
image-to-image transformation
Medium confidenceThis capability allows users to refine or stylize existing images by providing them as input to the system. The transformation process leverages AI algorithms to analyze the input image and apply modifications based on user-defined parameters. This includes adjusting styles, enhancing features, or applying artistic effects, all while maintaining the original image's integrity.
Utilizes advanced AI algorithms that adaptively modify images based on user input, providing a high degree of customization.
More flexible than traditional image editing software, as it applies AI-driven transformations in real-time.
ai-powered upscaling
Medium confidenceThis capability enhances the resolution of images by 2x to 4x using advanced Spandrel models. It intelligently analyzes the input image and reconstructs high-resolution details, ensuring that the final output maintains visual fidelity. The upscaling process is optimized for speed and quality, making it suitable for production-ready assets.
Employs state-of-the-art Spandrel models specifically designed for high-quality image reconstruction during upscaling.
Delivers superior quality compared to generic upscaling algorithms by focusing on detail preservation.
lora model support
Medium confidenceThis capability allows users to apply fine-tuned Low-Rank Adaptation (LoRA) models to achieve specialized styles in image generation. By integrating these models, the system can adapt its output based on user-defined artistic preferences, enabling the creation of unique visual assets tailored to specific branding or design needs.
Supports a wide variety of community-contributed LoRA models, allowing for extensive customization of image styles.
Offers more flexibility and creative options compared to static style transfer methods.
comprehensive parameter control
Medium confidenceThis capability provides users with extensive control over image generation parameters, including width, height, steps, CFG scale, and various schedulers. By allowing fine-tuning of these parameters, users can optimize the output to meet specific requirements, whether for artistic expression or technical specifications.
Offers a granular level of control over generation settings, allowing for tailored outputs that meet diverse user needs.
More detailed than typical image generation tools, which often provide limited parameter adjustments.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with invokeai-mcp-server, ranked by overlap. Discovered automatically through the match graph.
SeaArt AI
Unleash creativity with AI: art generation, diverse styles,...
Imgezy
The Ultimate AI Photo Editor for Effortless...
ImagesArt.ai
Generate and edit AI images with multiple models, prompt tools, and style...
Stability AI API
Stable Diffusion API — image generation, editing, upscaling, SD3/SDXL, video, and 3D models.
Pixlr: AI-Powered Editor
Unleash creativity with AI-enhanced photo editing and design, anywhere,...
Imagine
Transform ideas into high-resolution AI-generated art...
Best For
- ✓developers creating visual assets in a coding environment
- ✓graphic designers looking to enhance existing visual assets
- ✓designers preparing assets for high-quality outputs
- ✓designers and artists seeking to implement custom styles
- ✓developers and designers needing precise control over image outputs
Known Limitations
- ⚠Requires a local InvokeAI instance running, which may have hardware constraints.
- ⚠Transformation quality may vary based on the complexity of the input image.
- ⚠Upscaling may introduce artifacts if the original image is of low quality.
- ⚠Effectiveness depends on the quality and training of the LoRA model used.
- ⚠Complexity may overwhelm users unfamiliar with image generation parameters.
Requirements
Input / Output
UnfragileRank
UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.
Repository Details
About
AI-powered image generation, transformation, and upscaling for Claude Code using your local InvokeAI instance. ## Overview The InvokeAI MCP Server bridges Claude Code with InvokeAI, enabling seamless AI-assisted image creation directly from your development environment. Perfect for generating logos, icons, illustrations, and visual assets without leaving your workflow. ## Features ### Core Capabilities - **Text-to-Image Generation** - Create images from natural language descriptions using Stable Diffusion 1.5, SDXL, and custom models - **Image-to-Image Transformation** - Refine, modify, or stylize existing images with AI guidance - **LoRA Model Support** - Apply fine-tuned LoRA models for specialized styles (logos, illustrations, vector art) - **AI-Powered Upscaling** - Enhance images to 2x-4x resolution using state-of-the-art Spandrel models - **VAE Override** - Fix incompatible built-in VAEs or optimize with specialized VAE models ### Advanced Features - **Full SDXL Support** - Automatic detection and configuration for SDXL models with dual CLIP encoders - **Comprehensive Parameter Control** - Fine-tune with width, height, steps, CFG scale, 14+ schedulers, and seeds - **Queue Management** - Monitor and track InvokeAI processing status - **Flexible Model Support** - Compatible with SD 1.5, SDXL, and thousands of community models from Civitai and HuggingFace ## Prerequisites - **InvokeAI v4.0+** running locally (default: `http://127.0.0.1:9090`) - **Hardware**: GPU with 4-12GB VRAM depending on model choice - **Python 3.8+** for non-Docker installation ## Installation ### Via Smithery (Recommended) ```bash npx @smithery/cli install invokeai --client claude Via PyPI pip install invokeai-mcp-server claude mcp add --scope user invokeai python -m invokeai_mcp_server Usage Examples Generate a Logo Generate a minimalist tech startup logo with blue gradient, geometric shapes, modern flat design Apply LoRA Styling Create a professional logo using the logomkrdsxl LoRA model Refine an Image Transform logo.png with strength 0.6 to make it more polished and professional Upscale for Production Upscale generated_logo.png to high resolution for print Configuration When installed via Smithery, you can optionally configure the InvokeAI URL: npx @smithery/cli install invokeai --client claude \ --config '{"invokeaiUrl":"http://192.168.1.100:9090"}' Default: http://127.0.0.1:9090 Why InvokeAI MCP Server? - Workflow Integration - Generate assets without context switching - Production Quality - Professional-grade Stable Diffusion and SDXL models - Local & Private - Runs on your hardware, no cloud dependencies - Highly Customizable - LoRAs, VAE overrides, extensive parameters - Developer Friendly - Built for programmers creating visual assets Resources - PyPI Package: https://pypi.org/project/invokeai-mcp-server/ - GitHub Repository: https://github.com/coinstax/invokeai-mcp-server - InvokeAI: https://invoke.com/invokeai License MIT License - © 2025 CoinsTax LLC
Categories
Alternatives to invokeai-mcp-server
AWS Labs' official MCP suite — docs, CDK, Bedrock KB, cost, Lambda and more as agent tools.
Compare →Zapier's hosted MCP — 8,000+ app integrations exposed as allowlisted agent tools.
Compare →Official Hugging Face MCP — search models/datasets/Spaces/papers and call Spaces as tools.
Compare →Atlassian's official hosted MCP — Jira + Confluence with OAuth, permission-bounded agent access.
Compare →Are you the builder of invokeai-mcp-server?
Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.
Get the weekly brief
New tools, rising stars, and what's actually worth your time. No spam.
Data Sources
Looking for something else?
Search →