Nakkas MCP Server Generates Animated SVGs from AI Descriptions
Nakkas is an MCP server that enables AI to create animated SVGs from scratch. You describe what you want, and the AI constructs the full configuration including shapes, gradients, animations, and filters, with the server rendering clean animated SVG output.
Key Features and Capabilities
According to the source, Nakkas can generate:
- Animated logos, loading spinners, and data visualizations
- Scatter fields, radial patterns, and grid layouts
- Parametric curves including rose, spiral, heart, and superformula shapes
- 15 filter presets such as glow, neon, glitch, and chromatic aberration
- CSS @keyframes + SMIL animations with zero JavaScript
- Works anywhere SVG renders
Getting Started
You can install and run Nakkas using:
npx nakkas@latestThe tool is available via npm at https://www.npmjs.com/package/nakkas and the source code is hosted on GitHub at https://github.com/arikusi/nakkas.
The creator is seeking feedback and encourages users to share examples in the GitHub discussions.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Exploiting LLM Hidden Agency Signal (Â) for Better Tool Calling
A developer discovered that LLMs have a linearly separable hidden state direction called  that predicts tool calls with AUC > 0.94. Using this signal to force tool calls improved Qwen3-1.7B performance from 26.7% to 85% (+58% gain) and reduced no-tool failures from 43% to 2.6%.
Blackwell LLM Toolkit: NVFP4 Configs, Wheels, and Benchmarks for TensorRT-LLM on RTX Pro 6000
A community repo provides TensorRT-LLM configs, prebuilt LMCache wheels with sm_120 support, and benchmarks for Blackwell GPUs. Nemotron-3-Nano-Omni V3 hits 270 tok/s at 8k context on a single RTX Pro 6000.
Claude Code Hooks Implementation Project Covers All 23 Hooks
A developer has built a project entirely with Claude code that implements all 23 Claude code hooks, with a video explaining each hook's use case and a GitHub repository available.