Skills Plugins MCP Prompt Model 博客 我的中心
开发编程 #python #mcp

blender-mcp

Control Blender directly from Gauss via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=math-inc-opengauss-optional-skills-creative-blender-mcp-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name blender-mcp description Control Blender directly from Gauss via socket connection to the blender-mcp addon. Create 3D objects, materials, animations, and run arbitrary Blender Python (bpy) code. Use when user wants to create or modify anything in Blender. version 1.0.0 requires Blender 4.3+ (desktop instance required, headless not supported) author alireza78a tags ["blender","3d","animation","modeling","bpy","mcp"] Blender MCP Control a running Blender instance from Gauss via socket on TCP port 9876. Setup (one-time) 1. Install the Blender addon curl -sL https://raw.githubusercontent.com/ahujasid/blender-mcp/main/addon.py -o ~/Desktop/blender_mcp_addon.py In Blender: Edit > Preferences > Add-ons > Install > select blender_mcp_addon.py Enable "Interface: Blender MCP" 2. Start the socket server in Blender Press N in Blender viewport to open sidebar. Find "BlenderMCP" tab and click "Start Server". 3. Verify connection nc -z -w2 localhost 9876 && echo "OPEN" || echo "CLOSED" Protocol Plain UTF-8 JSON over TCP -- no length prefix. Send: {"type": " ", "params": { }} Receive: {"status": "success", "result": } {"status": "error", "message": " "} Available Commands type params description execute_code code (str) Run arbitrary bpy Python code get_scene_info (none) List all objects in scene get_object_info object_name (str) Details on a specific object get_viewport_screenshot (none) Screenshot of current viewport Python Helper Use this inside execute_code tool calls: import socket, json def blender_exec(code: str, host="localhost", port=9876, timeout=15): s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect((host, port)) s.settimeout(timeout) payload = json.dumps({"type": "execute_code", "params": {"code": code}}) s.sendall(payload.encode("utf-8")) buf = b"" while True: try: chunk = s.recv(4096) if not chunk: break buf += chunk try: json.loads(buf.decode("utf-8")) break except json.JSONDecodeError: continue except socket.timeout: break s.close() return json.loads(buf.decode("utf-8")) Common bpy Patterns Clear scene bpy.ops.object.select_all(action='SELECT') bpy.ops.object.delete() Add mesh objects bpy.ops.mesh.primitive_uv_sphere_add(radius=1, location=(0, 0, 0)) bpy.ops.mesh.primitive_cube_add(size=2, location=(3, 0, 0)) bpy.ops.mesh.primitive_cylinder_add(radius=0.5, depth=2, location=(-3, 0, 0)) Create and assign material mat = bpy.data.materials.new(name="MyMat") mat.use_nodes = True bsdf = mat.node_tree.nodes.get("Principled BSDF") bsdf.inputs["Base Color"].default_value = (R, G, B, 1.0) bsdf.inputs["Roughness"].default_value = 0.3 bsdf.inputs["Metallic"].default_value = 0.0 obj.data.materials.append(mat) Keyframe animation obj.location = (0, 0, 0) obj.keyframe_insert(data_path="location", frame=1) obj.location = (0, 0, 3) obj.keyframe_insert(data_path="location", frame=60) Render to file bpy.context.scene.render.filepath = "/tmp/render.png" bpy.context.scene.render.engine = 'CYCLES' bpy.ops.render.render(write_still=True) Pitfalls Must check socket is open before running (nc -z localhost 9876) Addon server must be started inside Blender each session (N-panel > BlenderMCP > Connect) Break complex scenes into multiple smaller execute_code calls to avoid timeouts Render output path must be absolute (/tmp/...) not relative shade_smooth() requires object to be selected and in object mode
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。