"Managing an AWS Environment" matching MCP servers:

Generate professional AI-powered presentations from a topic, raw text, or document file. Export to PPTX, PDF, image, or shareable link.

An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.

Enables an MCP-capable desktop client to inspect canvas state and action schemas, execute design edits and submissions, and read rewards from a deterministic design-canvas environment over stdio.

Enables Codex to inspect a native After Effects project, make scoped edits, and render frames for review through a local macOS bridge. It exposes MCP tools that drive a named After Effects worker without requiring an in-app panel or separate chat client.

Enables AI assistants to operate Adobe After Effects with the dexterity of an editor: reading projects, creating and rigging layers, setting real velocity curves, animating text, building native SVG-based shapes, applying effects, expressions, masks, and viewing render snapshots to verify results.

Enables AI agents to control and manipulate live 3D scenes across frameworks like Three.js, A-Frame, and Babylon.js using a comprehensive set of object and environment tools. It features an integrated in-world chat system that allows for real-time scene modifications directly from within the 3D canvas.

An MCP server that enables AI assistants to control Adobe After Effects with 70+ tools for compositing, animation, effects, and motion graphics.

Connects LLMs and agentic assistants directly to an active Adobe After Effects session on Windows, enabling composition inspection, parametric motion graphics, keyframe injection, vector masks, audio beat analysis, and automated rotoscoping.

Enables LLM-driven inspection, building, modification, and visual review of Adobe After Effects compositions through structured scene-level operations and a CEP-to-ExtendScript bridge.

Enables AI-assisted 3D scene manipulation in Cinema 4D via natural language, using an MCP server that communicates with a C4D plugin.

Enables AI assistants to control Blender 3D modeling software through a stable, goal-oriented tool API for safer and more reliable 3D scene manipulation.

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

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

An MCP server that captures rendered UI, diagnoses design tells and consistency drift, and generates redesign diffs from natural language art direction, all within Cursor.

Enables creating, managing, and publishing Datawrapper charts.

MCP server that exposes parametric FreeCAD operations as LLM tools, enabling natural-language-driven CAD modeling through a headless FreeCAD environment in Docker.

Private remote MCP gateway connecting ChatGPT to one configured Framer project. Exposes read, controlled write, and separate publishing tools over /mcp, with authentication and environment-based security controls.

Enables natural-language CAD geometry creation in Autodesk Fusion 360 by connecting an LLM running in WSL via OpenCode to Fusion on the Windows host.

An MCP server that lets AI assistants control Adobe Illustrator locally—running ExtendScript, capturing canvas screenshots, exporting artwork, and optionally remembering techniques—all without network activity.

MCP server that connects AI agents to KOMPAS-3D CAD, enabling automated 3D document operations through deterministic COM/API7 calls.