"Blackmagic Design" matching MCP servers:

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.

Multi-model adversarial design review MCP server that distributes design documents to multiple LLMs, retrieves project knowledge, and produces calibrated consensus summaries.

Enables coding agents to ground UI work in real product screens by retrieving real screen references, fonts and icons, and recorded design systems, while also serving bundled design-workflow resources, playbook prompts, and connection diagnostics without a token.

Provides AI coding agents with structured access to design research, component libraries, motion systems, design DNA extraction, visual search, and production workflows through MCP and SDK interfaces.

Lets coding agents index and search local PDF books, retrieve relevant passages with citations, and persist design lessons for system design and implementation tasks.

Enables Cursor to access Figma files through the Model Context Protocol, enhancing its ability to accurately interpret and utilize design data for code generation.

Enables coding agents to query a private, curated design reference library over MCP, retrieving approved screenshots alongside the owner's take-and-avoid notes, marked component regions, and brand kits with colors, typography and CSS. Supports ranked recommendations by design brief, filtered search, and component lookup so agents can ground their implementation choices in saved preferences.

Enables natural language interaction with KiCad projects, schematics, and PCBs, supporting project management, design rule checking, netlist extraction, and datasheet RAG search.

Enables AI-powered access to authoritative design systems knowledge, including W3C standards, WCAG guidelines, and best practices from 188+ curated entries via semantic vector search.

Enables Claude to search and retrieve curated design references, browse categories and tags, read style guides, and save new UI references from URLs so UI work starts from chosen inspirations rather than generic defaults.

Enables intent-based semantic search over external design system documentation, allowing MCP-compatible AI assistants to retrieve relevant design tokens, component architectures, and code patterns via a single tool.

Gives coding agents real product screen references, design-system sections, and font/icon materials as inline images and typed structured content, so unresolved layout, state, or typography questions can be grounded in screens that already exist. It also serves a bundled design workflow, command playbooks, and connection diagnostics that work without a token.

An MCP server that enables AI agents to semantically retrieve premium UI components from Awwwards and adapt them into clean React + Tailwind code.

Enables coding agents to ground UI work in real product screens by finding concrete screen references and design materials for unresolved layout, state, interaction, font, or icon questions. Also retrieves the recorded design systems behind chosen web screens and reports local connection status.

A Model Context Protocol server that generates production-ready React components using the Reablocks design system through natural language processing.

A read-only MCP server that enables semantic search over a Chroma library of narrative and game design content, using multilingual embeddings (BAAI/bge-m3) and offering tools to query indexed books, retrieve page chunks, and list available titles.

Provides semantic search over AWS Cloudscape Design System documentation using natural language queries, enabling AI assistants to efficiently find and retrieve component documentation with token-efficient responses.

Enables AI agents to browse, search, and read a curated library of 198 UI/UX and animation design skills across 17 categories, distilled from 10 open-source projects, with a progressive 5-step workflow for guidance.

A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.

An MCP server that ingests semiconductor PDFs into a Neo4j knowledge graph, enabling AI agents to query domain knowledge, verify claims against source text, and record design reasoning.

A lightweight server that provides curated, high-quality prompts for common development tasks like UI/UX design, project setup, and debugging to enhance AI-powered development workflows.

Provides AI-powered theatrical lighting design capabilities for the LacyLights system, allowing users to generate lighting scenes, analyze scripts, manage cues, and optimize lighting effects based on artistic intent.

Enables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.

Enables coding agents to find real iOS app screens, user journeys, and website design systems, including colors, typography, components, and DESIGN.md files, so generated UIs resemble real products instead of AI defaults.

Provides local-first retrieval over long design conversations, enabling users to find where a decision was made, why, and what replaced it, with turn and line range citations through hybrid retrieval, typed judgment rerank, exact search, and five MCP tools.

Enables Codex, Pi, and CLI clients to retrieve design knowledge and SOPs, orchestrate local Vivado/FPGA and LTspice workflows, enforce checks, and verify or recover traceable execution evidence.

Enables engineers and AI assistants to search source-backed hardware design guidelines, retrieve detailed conditions and limitations, and trace citations to original sources, all through a read-only offline interface.

Provides semantic search and complete document retrieval by ID through OpenAI's Vector Store API, letting deep research agents access company-specific knowledge and tools.

MCP server for indexing, semantic search, and generation of multi-format documents. Exposes 13 tools over JSON-RPC 2.0 so an LLM can search your local PDF, Excel, and Word files, and create or edit Excel and Word documents.

Enables agents to turn web pages into sectioned, token-counted Markdown and read only the chunks needed, with tools for outlines, manifests, splits, and design-token extraction.