"A query about frontend development or technologies" matching MCP servers:

Exposes GOV.UK Frontend components and Design System patterns and styles as MCP resources for use with AI assistants.

Enables AI assistants to retrieve NHS.UK frontend component templates, styles, macro options, and usage examples directly from the source repository.

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.

A FastMCP server that enables AI applications to navigate and query OpenAPI specifications, including resolving $ref pointers and inspecting paths and operations.

Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.

Enables AI agents to query organizational architecture and governance constraints, returning evidence-grounded answers from documented structures.

Provides comprehensive access to Salesforce B2C Commerce Cloud development tools including SFCC API documentation, best practices guides, log analysis, and system object definitions. Enables AI assistants to help with SFCC development tasks through both documentation-only mode and full credential-based mode.

A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.

Provides up-to-date information for Rust and Slint development by fetching real-time data from GitHub repositories, including package search, UI components, release news, and development resources with automatic caching and refresh capabilities.

MCP server that provides game design lenses and knowledge base docs to help AI assistants and programmers make better design decisions during game development.

Enables rapid exploration and integration of Omelet's Routing Engine and iNavi's Maps API for building Transport Management Systems, providing endpoint discovery, schema exploration, integration patterns, and troubleshooting guides.

Provides Android development assistance following NowInAndroid best practices, including architecture patterns, code generation for feature modules/ViewModels/repositories, and searchable documentation for Jetpack Compose and modularization.

Enables semantic search and retrieval over local Markdown/MDX documentation using Node.js-based embeddings. Supports multi-language documentation with offline vector indexing and MCP tool exposure for AI assistants.

Enables developers to access kintone API specifications, field type documentation, and development best practices through natural language queries. Supports API request validation and provides comprehensive development guidance for kintone customizations.

Provides AI agents with professional coding standards, development best practices, and context-aware guidance through static documentation and AI-powered custom recommendations. Enables agents to access comprehensive development guidelines including coding rules, debugging techniques, and AI steering instructions.

Assists in migrating HeroUI v2 and NextUI projects to HeroUI v3 beta through automated project scanning, file analysis, and guided code rewrites. It provides specialized tools for auditing Tailwind configurations and comparing component changes using an integrated documentation corpus.

A lightweight, dependency-free MCP server that answers cited queries over a Tero corpus index.json via stdio JSON-RPC 2.0, with honest refusal semantics and no silent empty results.

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

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.