"MCP server for HeroUI (formerly NextUI) component library integration" matching MCP servers:

An MCP server that scans React and Vue projects, extracts component metadata (props, slots, events, imports, usage), and exposes it to AI coding agents via structured tools.

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

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.

Enables searching for component, function, and type usage in React/TypeScript projects.

An MCP server that exposes a Svelte/SvelteKit project's component dependency graph over stdio, enabling AI coding assistants to query component imports, unused components, and route dependencies without an editor.

Enables AI agents to understand, inspect, create, validate, build, and document Jekyll component frameworks through Jekyll-aware tools, resources, prompts, sandboxed filesystem access, and configurable write modes.

Harvests React components from Aceternity UI and Shadcn UI, fetching code and metadata to generate integration prompts for AI agents.

Enables coding agents to establish exact-release library identity, search provenance-tracked API, docs, example, source, and release evidence, compare releases, and test proposed invocations in isolated capsules for Rust and Python dependency environments.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Paid remote MCP server for ShipSwift providing tools to search SwiftUI components, generate patches, validate dependency policies, and export component receipts.

Enables automatically generating standalone MCP servers from any Python library, exposing its functions as deterministic callable tools.

Search and retrieve Google Apps Script libraries with AI-generated summaries and usage examples directly from MCP clients.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Bridges Claude Code and Google's Gemini AI models to enable AI-to-AI collaboration for code reviews, brainstorming, and direct questions.

Enables agents to analyze OpenAPI contracts for deterministic integration risks, plan auth, sync, action, and webhook candidates, and diff contract versions for likely breaking changes through read-only tools.

Enables dynamic exploration of Angular library components by reading and analyzing the public API exports. Provides tools to list available components and retrieve detailed component information.

Enables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.

Enables AI assistants to discover, understand, and generate code for NTV Scaffolding Angular components, including documentation lookup, template generation, and complete component file scaffolding.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

MCP server giving Claude (and any MCP-compatible client) live access to SAP systems via ADT for reading, searching, editing, and activating ABAP objects.

A Node.js-based FastMCP protocol server that integrates DeepSeek AI capabilities for intelligent conversations and code analysis, providing tool invocation abilities through the MCP protocol.

MCP server that brings Trustabl static reliability scanning into Cursor, letting agents inventory agents/tools, flag risky patterns, score production readiness, and write SARIF reports.

Enables AI assistants to perform autonomous binary analysis, malware inspection, firmware analysis, and reverse engineering workflows through a production-ready Python MCP server connected to the ImHex hex editor.

Local memory for coding agents that can refuse, not only recall. A rule carrying a machine-checkable proof blocks the matching command before it runs, while prose-only rules can warn but never block.