Blender MCP Server
Blender MCP 服务器
用于管理和执行 Blender 脚本的模型上下文协议 (MCP) 服务器。
特征
添加、编辑、执行和删除 Blender Python 脚本
在无头 Blender 环境中执行脚本
查看执行结果和错误
跟踪脚本元数据(创建日期、上次修改、执行次数)
Related MCP server: Blender MCP Bridge
要求
Python 3.7+
Blender 已安装并可访问
MCP 库 (
pip install mcp)
用法
启动服务器:
python server.py使用 MCP 客户端(如 Claude Desktop)连接到服务器
使用提供的工具来管理脚本:
add_script(name, content)- 添加新脚本edit_script(name, content)- 编辑现有脚本execute_script(name, blend_file=None)- 在 Blender 中执行脚本,可选择指定 .blend 文件remove_script(name)- 删除脚本
访问资源以获取信息:
scripts://list- 获取可用脚本列表script://{name}- 获取特定脚本的内容result://{name}- 获取脚本的执行结果
示例
基本示例
# Add a simple script
add_script("hello_cube", '''
import bpy
# Clear existing objects
bpy.ops.object.select_all(action='SELECT')
bpy.ops.object.delete()
# Create a cube
bpy.ops.mesh.primitive_cube_add(size=2, location=(0, 0, 0))
print("Cube created!")
''')
# Execute the script
execute_script("hello_cube")
# Get the result
# Access using: result://hello_cube使用混合文件
# Add a script that works with a blend file
add_script("analyze_scene", '''
import bpy
# Print information about the current scene
print(f"Current Blender version: {bpy.app.version_string}")
print(f"Current file: {bpy.data.filepath}")
# List all objects in the scene
print("\\nObjects in the scene:")
for obj in bpy.data.objects:
print(f" - {obj.name} ({obj.type})")
''')
# Execute with a specific blend file
execute_script("analyze_scene", blend_file="/path/to/your/project.blend")
# Get the result
# Access using: result://analyze_scene工作原理
添加脚本后,它将存储在
script_files/scripts目录中执行时,脚本在无头 Blender 实例中运行
如果指定了混合文件,Blender 将在运行脚本之前打开该文件
否则,使用默认的空 Blender 场景
输出和错误被捕获并存储在
script_files/results目录中有关脚本的元数据在
script_files/metadata.json中跟踪
安装
克隆此存储库
安装 MCP 库:
pip install mcp确保 Blender 已安装并可从 PATH 中访问
执照
麻省理工学院
This server cannot be deployed
Maintenance
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