"A search for creating animations using Blender" matching MCP servers:

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

MCP server for AI-assisted Blender automation, providing layered tools for perception, declarative and imperative writing, and fallback operations.

A headless-first Model Context Protocol server for safe, deterministic Blender automation, exposing typed tools to inspect scenes and render previews without arbitrary command execution.

Enables AI agents to inspect and drive Blender scenes directly, either through a live editor bridge on port 8190 or automatically via headless background CLI when Blender is closed. Provides token-efficient tools for scene outlining, object creation and modification, modifiers, materials, rendering, asset export, and arbitrary bpy script execution.

An MCP server that builds and modifies Blender .blend files, supporting both headless generation and live interaction with an open Blender window.

Enables AI assistants to control Blender 3D software through natural language, with tools for modeling, materials, animation, rendering, and rigging.

Enables AI agents to drive a live Blender session for modeling, shading, lighting, rendering, and scene manipulation, returning rendered images for visual feedback.

MCP server that enables AI to control Blender 3D, providing 175 typed tools for objects, materials, animation, compositing, and more via the Model Context Protocol.

Enables MCP-compatible clients to control Blender for modeling, materials, animation, physics, rendering, scene inspection, documentation search, and asset/generation service integration. It exposes a stdio endpoint with many Blender operations for creating and editing 3D content.

Enables AI-assisted 3D modeling workflows by connecting Blender with LLMs and CSM.ai, allowing text-based editing, asset retrieval from CSM.ai sessions, and humanoid animation using Mixamo files.

Enables asynchronous Blender rendering via MCP, supporting Cycles, Eevee, and Workbench engines, with GPU detection and job management for animations and still frames.

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

Enables AI agents to inspect, discover, and execute batched Blender operations, capture renders/previews, and run arbitrary Python scripts for full bpy workflows, with on-demand operation discovery and bounded payload summaries.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Enables natural language control of Blender via Claude by converting MCP JSON-RPC calls to Blender's custom TCP protocol for scene manipulation, object creation, and Python execution.

Enables Claude AI to control Blender 2.79 for 3D modeling, scene creation, and manipulation through the Model Context Protocol, with legacy compatibility for older Blender versions.

Lets agents see and drive a live 3D application session through its addon socket: viewport screenshots, turntable and multi-mode renders, scene and object inspection, arbitrary Python execution, GLB import/export and asset validation, plus rig, pose-deformation and silhouette-likeness checks. This lets an agent visually judge a 3D result instead of guessing.

A simplified installation fork of the Blender MCP server, enabling control of Blender through natural language via MCP. Provides an automated setup script and easy add-on configuration.

Enables AI to construct 3D building models in Blender from Vietnamese architectural data, including walls, floors, columns, beams, stairs, and roofs, while reading DXF floor plans from AutoCAD and extracting quantities from the model.