"Blackmagic Design" matching MCP servers:

Bridges Claude Code with Claude Design, enabling sending design instructions, reading replies, and pulling generated files into the codebase.

AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.

Bridges AI language models with Penpot design platform, enabling AI assistants to analyze, search, and interact with design files programmatically for automated design workflows.

LLM Driven Trading Platform Orchestration - Strategy Design, Research & Implementation

Enables coding agents to discover live visual design references, inspect original sites as MCP images, analyze elements and motion, and verify implementation constraints during an original design workflow.

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.

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.

Enables design agents to freeze their own prediction of an audience's tastes, measure that audience with Qloo, and then bind palettes, type, motion, illustration and voice to what the prediction missed. It validates the resulting design decisions against the project's own design system, captures screenshots, and produces a provenance report showing where each choice came from.

Enables AI agents to call human reviewers for second opinions, design and wording judgment, and iterative feedback with pinned comments until work is approved.

Enables OpenAI Codex to invoke the local Grok CLI as a second agent for code review, planning, design documents, PR babysitting, and media creation via MCP tools.

WordPress plugin that provides an MCP server for governed, agent-assisted Gutenberg content creation and revision with validation and design contracts.

Turns Claude Code into an AI Agent Studio with a guided menu and 11 tools to design, create, and manage multi-agent projects without coding.

A production-ready MCP server ecosystem providing Claude AI with 150+ specialized tools across enhanced memory, data analytics, security, design, and infrastructure domains with PostgreSQL, Redis, Qdrant, and Docker orchestration.

Orchestrates app design workflows for Claude Code local execution, enabling creation, updating, and component addition without rate limits.

Enables multi-agent design sessions with a structured workflow for defining voice, generating directions, creating UI elements, and exporting artifacts.

MCP server exposing specialized AI agents (CEO, CTO, Designer, Sales, Marketing, QA) that collaborate through an intelligent orchestrator for business strategy, technology, design, sales, marketing, and quality tasks.

Zero-dependency Python MCP server for coding agents (Antigravity, Claude Code, Cursor, Windsurf). Unfreezes 915+ skills on-demand, injects 74 brand design tokens (Linear, Stripe, Apple), and validates WCAG contrast.

An orchestrator MCP server that takes a plain-language app description and guides agents through a full workflow from intake to deployment, including design, audit, and maintenance.

Enables coding agents to consult, design, implement, and review with an independent AI peer via Oh My Pi, using persistent project-isolated conversations and structured MCP tools for thinking, analysis, and authorized work.

Enables AI coding assistants to run a machine-verified DESIGN→PLAN→EXECUTE→VERIFY→COMPLETE workflow with human approval gates, state integrity checks, and DAG task scheduling.

Local harness for Codex, Claude Code, opencode and other coding agents: agents record pitfalls and design decisions as Markdown files reviewed in the same PR as the code, and route only task-related records to the next agent.

Orchestrates multiple AI agents (Product Manager, Software Architect, Engineer, QA, Reviewer) to collaboratively plan, design, implement, review, and improve software development projects via MCP tools.

A local MCP server that provides a safe plan-and-execute workflow for AI coding assistants, storing plans and tasks, and executing agent commands with an allow-list for security.

Enables coding agents to coordinate around shared project context, durable tasks, messages, artifacts, multimodal analysis requests, design-system checks, change proposals, and review requests through a compact MCP interface. It persists state locally in JSON and exposes tools, resources, and prompts for agent-to-agent workflows.

A Model Context Protocol server that allows AI assistants like Claude to integrate with Printify's print-on-demand platform, enabling product creation, management, and AI-generated design uploads through natural language commands.

Enables autonomous agents to orchestrate HubX mobile AI tools for vision diagnostics, voice transcription, photorealistic image generation, and spatial design through a native MCP interface.

It enables AI agents to call real human reviewers for second opinions and judgment on design, wording, and artifacts. Reviewers return pinned comments and a verdict so the agent can iterate until approved.

Lets AI coding agents call in real human reviewers mid-task by publishing work artifacts, then receiving pinned comments anchored to the exact elements that are off. Enables second opinions and human judgment on design taste, wording, and version preferences, with the agent iterating until a reviewer approves.

Lets external agents search a catalogue of programmatic design assets, remix them into a caller's brand palette, and create PayPal orders for licensing them, with the human approving payment and the agent then retrieving download links. Available as a stateless Streamable HTTP endpoint exposing search_assets, get_asset, remix_asset, create_order, and get_order.

Provides a provider-agnostic MCP server that owns task claims, action logs, role handoffs, and health-gate results so AI coding agents can move work through use-case, spec, design, build, and review stages with server-enforced evidence. It also exposes read-only skills for drafting use cases and specs, triaging bugs, answering code questions, and auditing itself.