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AI-powered image generation, transformation, and upscaling for Claude Code using your local InvokeAI instance. ## Overview The InvokeAI MCP Server bridges Claud
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
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Выполни в терминале:
claude mcp add invokeai-mcp-server -- npx -y @smithery/cli run coinstax/invokeai-mcp-serverНе уверен что выбрать?
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