MCP server for analyzing transformer language model internals, exposing tools to trace attention heads and neurons responsible for predictions, get activation statistics, ablate components, and sketch circuits.
Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.
Enables AI agents to receive a structured verdict on whether a UI component need can be satisfied by existing shadcn/ui or 21st.dev components or requires a custom build, with coverage scoring against real component evidence and a Mobbin reference when needed.
Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.
Model Context Protocol server for AI Canvas. Search, inspect, and install open-source React and Tailwind components from the aicanvas.me registry directly in your AI editor.
A curated SwiftUI component library served to AI coding agents via MCP, enabling agents to fetch modern, compile-ready SwiftUI components instead of hallucinating deprecated or incorrect code.
An MCP server that recommends UI components and utility methods from private code repositories using AI to enhance code reuse and development efficiency.
Write-side MCP server for Figma — build, edit, and search Figma designs from Claude Code, Cursor, Cline, or any MCP client. Complements Figma's official read-only MCP with 41 tools for tree creation, variables, components, and visual verification.
An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size problems, and profiling concerns.
An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.
Generates React Native/Expo UI components using AI, integrates with Claude Desktop to create and optimize Tamagui-based components via natural language commands.
Five-tier MCP server for lightning-fast HTML generation from AI agents.
Assembly-Patch-Read-Raw-Consistency architecture. 15 tools, 22 components, 25 templates — purpose-built for AI-driven page creation with sub-second patch times and AI-grade token compression.
MCP name: io.github.aimino-tech/fast-html-mcp-server
Quick Start
npx -y @aimino/fast-html-mcp-server
Enables AI-driven generation of UI components, full applications, and backend code across multiple frameworks (React, Vue, Angular, Svelte, HTML) with Figma integration and brand identity support.
Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.
Connects Figma designs to React components using your actual component library, enabling AI tools to generate production-ready code with proper imports.
