"Guide to Creating 3D Models in Blender" matching MCP servers:

Connects MCP-compatible assistants to Blender to read scene and selection context, and optionally execute user-requested Python through Blender's native API when explicitly enabled.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.

Enables natural language control of Blender 3D through local AI models, allowing MCP clients to create, modify, and render scenes, apply materials, and execute Python code in Blender.

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 LLM clients like Claude to control Blender remotely, including scene inspection, object creation/modification, and Python code execution, via a socket-based MCP server.

Enables executing Python scripts, rendering scenes, and controlling 3D objects in Blender via Claude, with support for Cycles and EEVEE engines.

Enables AI assistants to drive a live Blender session over MCP by creating and transforming primitives, building and assigning materials, inspecting scenes and objects, capturing viewport screenshots, and executing arbitrary bpy Python. Commands are relayed over a local TCP bridge to a Blender add-on and executed on Blender's main thread, supporting multiple simultaneous AI clients.

Persistent memory and pattern learning for AI coding assistants via MCP.

A Model Context Protocol server that allows management and execution of Blender Python scripts, enabling users to create, edit and run scripts in a headless Blender environment through natural language interfaces.

Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.

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 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 AI assistants to control Blender via MCP tools for scene manipulation, material assignment, rendering, and Python script execution.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

Enables Claude AI to directly interact with and control Blender for rapid, natural language-based 3D modeling. Supports parametric design and relational design through direct Blender integration.

Enables LLM routing through multiple providers (OpenAI, Anthropic, xAI) via LiteLLM and provides a bridge to Blender for 3D scene management, asset integration from PolyHaven/Sketchfab, and automation workflows. Combines unified text generation with comprehensive Blender integration through a persistent TCP connection.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Connects Blender to AI assistants through the Model Context Protocol, enabling direct AI control of 3D modeling, scene creation, and manipulation via natural language.

All In One Model Context Protocol: qdrant, google suite (gmail, calendar, ...), jira, gitlab, CLI, ...

Enables Claude AI to control Blender 3D through natural language commands for object creation, modification, deletion, and Python script execution.