Blender MCP Server with 100+ Tools Built Using Claude Code

A developer has built an MCP server for Blender that provides over 100 tools across 14 categories, allowing AI coding agents like Claude Code, Claude Desktop, Cursor, and Windsurf to control Blender through natural language prompts.
What It Does
The MCP server enables AI agents to control various Blender functions including lights, modifiers, animation, shader nodes, geometry nodes, camera, rendering, and more. A demo video shows the system going from an empty scene to a fully lit, animated, Cycles-rendered scene entirely through natural language prompts in Claude Code.
Development with Claude Code
The entire codebase was written using Claude Code. The most significant architectural challenge was Blender's requirement that all API calls happen on the main thread. Claude Code helped design a TCP bridge with a command queue using bpy.app.timers. Claude figured out a persistent timer + watchdog pattern that survives undo operations, file loads, and script reloads.
Claude also suggested a lazy loading system: with 100+ tools, loading everything at once would be inefficient. Instead, only 15 core tools are exposed initially. The AI discovers and enables categories on demand via list_tool_categories() and enable_tools() functions.
Technical Challenges and Solutions
The biggest challenge was the Blender addon's socket server dying after /clear commands or context resets. The previous Modal Operator approach was window-event dependent. Claude Code helped migrate to bpy.app.timers with a watchdog that auto-restarts the timer from the connection thread. This required several iterations but resulted in a stable solution.
This tool is available with a 7-day trial for developers who want to integrate AI coding agents with Blender workflows.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Fino: Open-Source MCP Server for Personal Finance Analysis with Claude
Fino is a free, open-source MCP server that connects Claude to bank accounts through Plaid, stores transaction data locally in SQLite, and provides Claude with tools for financial analysis.

Applying Claude Code's Architecture to Local 9B Models: Key Findings and Optimizations
A developer extracted architectural patterns from Claude Code's leaked source code and applied 10 optimizations to qwen3.5:9b running locally on an RTX 5070 Ti. The key discovery was that qwen3.5:9b has native structured tool_calls, and the biggest limitation for 9B models is self-discipline in knowing when to stop exploring and start producing output.

Transforming Claude Code into an Autonomous Engineering Team
The ~/.claude/ configuration turns Claude Code into an autonomous build system, generating and testing code autonomously.