"Generating an image for a cursor design or customization" matching MCP servers:

An MCP server that audits a project for documentation, rules, skills, and knowledge artifacts, compares against a reference concept catalog, and generates a prescription plan with frontmatter todos to guide creation of missing or incomplete elements.

Provides read-only access to over 100 UX/UI design checklists from Checklist.design, enabling users to search and retrieve design guidance for specific flows and screens. Runs locally without an API key.

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 AI coding agents to search public design-system catalogs and retrieve only the relevant tokens or sections for a chosen brand, so generated UI matches a specified visual style instead of generic AI output.

Enables AI assistants to retrieve and cite South Korean national construction standards (KDS/KCS) with tables and formula images via the KCSC OpenAPI, and to use design decision trees, validation, and blank Excel templates directly in the chat interface.

A local stdio MCP server that enables AI coding tools to search and retrieve reusable interactive and motion design parts from a design-notes library, returning each part's notes, anchors, extracted parameters, and the absolute path to its self-contained index.html source. It also serves the original README provenance and source URLs for a given note.

Exposes iDRAC design-system knowledge via a single get_component tool, currently returning placeholder data for known components.

A Model Context Protocol server that exposes an airline design system as a queryable knowledge base, enabling AI to discover components, find components for use cases, and scaffold prototypes.

Provides access to Appian's Aurora design system documentation via GitHub, enabling LLMs to query components, layouts, and patterns. It supports both public and internal repositories with features for keyword searching and detailed component guidance.

Enables a Cursor agent to search and read Confluence Server/Data Center pages via Personal Access Token, offering read-only tools for user info, spaces, page search, and page content.

A portable Agent Skill for defensive software design, implementation, review, and verification. It routes agents to focused guidance for the trust boundaries that actually change, from a bounded fix to an architecture review or staged brownfield rollout.

Enables AI coding agents to query any DESIGN.md design system and receive short, targeted answers with exact design tokens, existing component classes, markup examples, and rules. It also catches drift by flagging made-up colors and pixel values and suggesting the nearest token.

Turns real technical work from a Claude Code session into a saved, professional design doc with one slash command, no copy-pasting or signup required.

A Model Context Protocol server that enables AI assistants to explore and interact with Cursor IDE's SQLite databases, providing access to project data, chat history, and composer information.

The Wellx Design System MCP enables AI agents to access the single source of truth for Wellx design, including tokens, component specs, rules, and search, ensuring consistent design implementation across surfaces.

A local-first FastMCP server that indexes offline frontend catalogs (components, patterns, motion libraries) and exposes discover, search, compare, and recommend tools to AI agents via stdio.

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

Read-only MCP server for Tancky AI (tancky.io): lists its online AI photo tools such as the image combiner, couple and family photo makers, background remover and upscaler, and searches its photo editing guides.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

MCP server for design decisions during a build, providing live UI/animation library docs (via llms.txt) and a curated knowledge base of UX laws and UI conventions. It enables agents to look up real component APIs and apply design best practices, running locally via stdio or hosted on Vercel.

A standalone MCP server that provides AI assistants with comprehensive access to BrowserStack's design system components, enabling component search, detailed prop analysis, and usage examples from Storybook.

Provides a real API for coding agents to look up design system components, props, and tokens, preventing guessed answers.

Provides AI agents with component documentation, usage examples, and design tokens from the WordPress Design System, enabling them to follow the latest design system guidance for creating user interfaces.

Provides component information, usage guidelines, and code generation for AWS Cloudscape Design System in React, with search and pattern library capabilities.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

An MCP server that enables AI to interact with the private 'my-design' React component library and design tokens for UI generation and technical support. It provides tools for component searching, API documentation retrieval, and migration guidance based on specific internal design specifications.

Serves the complete Sekura Design System—tokens, components, layouts, UX patterns, accessibility contract, and paste-ready code—to MCP-capable tools, enabling agents to build accessible, dark-mode-first interfaces with verified values.

Provides AI assistants with locally bundled tools to explore NIST OSCAL models, retrieve schemas, list community resources, and generate valid OSCAL templates for governance, risk, and compliance workflows.

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

MCP server over a curated catalog of 78 AI tools for engineering teams. Every entry states when it fits, when it does not, its limits, licence terms and open issue numbers, all verified against the project's own repository — search by keyword, category or licence, and get full records or published comparisons.

Enables AI agents to query a design system's components, tokens, icons, patterns, and usage or accessibility guidelines through standardized MCP tools, with pluggable adapters for different data sources.

An unofficial MCP server that gives AI assistants structured access to Italy's Design System .italia, including components, design tokens, usage guidelines, and GitHub issues, updated nightly.

Enables searching the Refero design catalog in plain English and generates DESIGN.md files for any project.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables IDEs like Cursor, Windsurf, and Claude Code to access and query Appwrite documentation through a vector-powered search system. Provides developers with contextual Appwrite documentation directly within their development environment.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Serves read-only tools that let an agent inspect PDFs step by step: outline a document, search for text or figure values, read pages and tables in order, describe figures and chart data, and render page or block images, with every block cited to its page and bounding box. It also lists the PDFs available under a configured root folder, which it never reads outside of.

Enables browsing Material Design 3 documentation by listing top-level sections and retrieving page content as Markdown.