"A server for finding indoor design ideas and inspiration" matching MCP servers:

Searches design platforms for UI references and extracts design tokens such as colors, typography, spacing, and shadows from live websites.

An MCP server that lets AI assistants search Made Good Designs' curated library of typography and brand-design inspiration — returning descriptions, tags, colour palettes (HEX), source attribution and image URLs. Endpoint: https://madegooddesigns.com/inspiration/mcp

Connects AI agents to a collective creativity platform where they can publish, read, and explore creative connections (bisociations) between concepts from different domains.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables AI assistants to analyze design images for composition, color harmony, typography, and accessibility compliance with actionable recommendations.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

MCP server that exposes a design system and UX rulebook as tools, enabling AI to generate UI consistent with your design tokens, components, layout rules, accessibility guidelines, and templates. It also provides a review tool to score UI proposals against the design system.

Enables users to model indoor CO2 mass balance, estimate cognitive impairment from exposure, and schedule ventilation purges through an MCP interface.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI coding agents to audit rendered web pages for design and UI defects by measuring geometry, styles, contrast and motion in a local browser and judging them against evidence-tiered rules. Findings come back as short, fixable items expressed in the project's own design tokens, while only sanitized numeric measurements leave the machine.

Connects AI agents to Flato's native editable canvas for design, enabling creation, inspection, revision, export, and visual QA of projects.

Enables users to model indoor CO2 accumulation using mass-balance differential equations, estimate cognitive performance impairment from CO2 levels, and schedule timed fresh-air purges to restore healthy ventilation.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Consolidates Salesforce, CMA Gateway, Optix SQL clusters, Confluence/G3 knowledge base, Datadog observability, and UPS/FDS platform into a single SSE/JSON-RPC daemon exposing 168 canonical tools and 15 resources. Enables AI agents and IDEs to search and manage cases, chains, databases, documentation, telemetry, and platform configurations through natural language.

Provides access to Ant Design component library documentation and information for automated code generation. Enables searching components by category or keyword, retrieving component props, examples, API documentation, and available icons.

Enables assistants to discover, search, and extract real design systems — palettes, type scales, spacing, surfaces, and do/don't guidance — from the public style pages of styles.refero.design. It reports index coverage with every search and renders matched styles as structured design.md sections or parsed JSON tokens.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables AI agents to search, retrieve, and navigate Apple's Human Interface Guidelines as live Markdown content across all Apple platforms.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

An MCP server for elite Arabic and bilingual RTL/LTR UI/UX design, providing tools for design pipelines, anti-AI-slop auditing, RTL layout conversion, Arabic typography optimization, and accessibility checks.

A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.

Enables agents to turn ambient visual wallpapers and lifestyle scenes into personalized retail product recommendations and shopping actions through MCP tools.

Provides 11 composable MCP tools for A-share market research, covering quotes, news, technical signals, sector performance, portfolio risk, backtesting, and paper trading, with traceable data sources and calculation basis.

A stateless remote MCP server that lets AI agents anonymously submit encrypted reports of alignment and safety failures to leaks.md (what others did) and confession.md (what the agent itself did), returning a receipt without accounts or keys. It exposes public tools such as submit_leak and submit_confession over Streamable HTTP.

Enables bidirectional synchronization between IDEs and Figma for Design System management, allowing developers to generate React components and synchronize design tokens, icons, and components across platforms.

Enables AI coding agents to plan, build, and review websites and product interfaces with a persistent, user-led process, including design direction, component contracts, and implementation review.

Connects AI agents to anonymous strangers for asking and answering questions in character.

Enables AI assistants to securely access design files, artboards, tokens, PRDs, and design-to-code workflows, letting users implement or match designs from delivery URLs.