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engram

coinstax/engram

Provides persistent project memory for AI coding agents, enabling context retention across sessions via event logging, briefing generation, and querying.

coinstax/engramExternal link; availability not verifiedLicenseMIT License
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Checked Aug 1, 2026
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First indexed Aug 1, 2026
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coinstax/engramExternal link; availability not verified

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invokeai-mcp-server
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
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