"A search for memes or internet memes" matching MCP servers:

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables controlling CLO3D from any MCP client to inspect projects, create and edit patterns, manage fabrics and colorways, run simulations, and export models through chat.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Enables inspection and editing of Cascadeur rigs, controller animation, poses, keyframes, motion plans, review images, and FBX exchange through 49 structured tools plus optional Python execution.

Translates natural language commands into structured geometric operations for a simulated CAD engine using LLMs. It enables users to create shapes, modify dimensions, and perform 3D operations like extrusion through the Model Context Protocol.

Enables LLMs to drive Blender through socket-based two-way communication, letting them create and modify 3D objects, apply materials, run Blender Python, and fetch or generate assets while visually verifying results. Supports prompt-assisted 3D modeling, scene creation, and manipulation.

Enables AI assistants to inspect and organize Adobe Premiere Pro projects, edit timelines with frame-accurate cuts and trims, animate motion and opacity keyframes, and trigger exports through natural language.

Enables AI assistants to programmatically inspect projects, create compositions and layers, apply effects, animate properties, and manage render jobs in Adobe After Effects through natural language.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

Enables Claude and other MCP clients to create and modify SOLIDWORKS parts, assemblies, sheet metal, weldments, drawings, and bills of materials from natural-language requests, run strength simulations, and receive model views and stress maps as images.

Connects MCP-aware AI clients to a live SketchUp session so users can create and modify 3D models, apply materials, perform booleans and joinery, and export scenes through natural-language prompts.

MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.

Enables AI agents to design and critique websites using 2026 trend reports, motion code recipes, design principles, palettes, type systems, section skeletons, references, and DESIGN.md tokens, with performance and reduced-motion handling built in.

MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables Claude Desktop to control FreeCAD for 3D CAD modeling, including creating, editing, and deleting objects, executing Python code, and running FEM analyses.

Enables Claude to draw, verify, correct, and organize precise 2D architectural geometry directly in an open Vectorworks file, including exact arcs, measurements, classes, layers, and self-checking fixes.

Enables AI assistants to control a Blender instance through MCP tools, supporting scene creation, editing, and asset exchange via HTTP and background CLI processes.

Enables Claude and other MCP clients to see, inspect, measure, screenshot, audit, and safely edit the currently open model, including guarded operations such as moving walls or cutting door openings.

MCP server that lets AI assistants control Adobe After Effects - ExtendScript execution, background rendering, and deep project/layer inspection - with first-class Arabic/RTL and multilingual support. 44 tools.

MCP server that controls Blender via HTTP bridge, enabling 3D modeling, animation, and export operations from Cursor agent.

Enables AI clients to inspect, visualize, modify, launch, and manage Autodesk BIM models, views, families, and documents through a local authenticated bridge, including direct code execution.

Enables Codex to interact with and control FreeCAD 1.1.x locally through typed MCP tools, including health checks and an optional Python execution escape hatch for direct document manipulation.

Enables AI assistants to directly control and interact with the Unreal Editor through natural language, allowing tasks such as spawning actors, building levels, creating materials, and running Python scripts.

Enables Claude to inspect and build compositions in an open Adobe After Effects project, animate layers and effects, preview real frames, compare against reference video side by side, measure and recreate camera moves, detect cuts and beats, and render MP4s.

It exposes five streamable-HTTP tools that add service and FAQ information, Figma or URL-to-DX component generation, session-based user identity lookup, and diagnostics to an existing DX IQ deployment.