"blender" matching MCP servers:

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.

Connects Blender to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

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

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 any MCP client to drive Blender 5.2 LTS through natural language, with tools for scene inspection, object creation and transformation, material and modifier handling, rendering, viewport capture, and guarded Python execution.

Enables MCP hosts and coding agents to model, inspect, measure, and deliver real Blender scenes through 15 tools and 217 catalog operations, returning actual rendered images after key edits. Works against a live Blender GUI via addon or a persistent headless worker, producing editable .blend files, GLB exports, previews, and acceptance records.

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 agents to drive a live Blender session over stdio, inspecting the scene graph, searching and calling operators, reading and writing RNA properties, rendering viewable images, and checkpointing or restoring the file across a multi-turn conversation. It also exposes gallery and scene-reset helpers so the agent can check its own work and start over cleanly.

Connects an AI client to a locally running Blender instance via a local MCP server plus addon, exposing scene queries, viewport previews and renders, file import/export, and script execution so the model can author its own modeling and material scripts. Defaults to a compact 12-tool script-oriented profile, with an optional compatibility mode exposing the full tool set.

This server enables natural language control of Blender 5.2 LTS through any MCP client, allowing scene inspection, object and material manipulation, rendering, and safe Python execution.

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.

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.

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

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

Build Blender scenes through 4 tools and 338 tokens of fixed context: on-demand operation schemas, batches of up to 100 edits, preview captures and permission-gated Python for full bpy access.