AI Skill Hub 推荐使用:Embody TouchDesigner AI助手 是一款优质的MCP工具。AI 综合评分 7.8 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
Embody TouchDesigner AI助手 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
Embody TouchDesigner AI助手 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/dylanroscover/Embody
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"embody-touchdesigner-ai--": {
"command": "npx",
"args": ["-y", "embody"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 Embody TouchDesigner AI助手 执行以下任务... Claude: [自动调用 Embody TouchDesigner AI助手 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"embody_touchdesigner_ai__": {
"command": "npx",
"args": ["-y", "embody"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Create at the speed of thought.
Full Documentation | Manifesto | Changelog
---
Embody puts your ideas on screen as fast as you can describe them. Operators, connections, parameters, the works. Want to try a different direction? Spin up a new approach in seconds. Compare attempts side by side. Branch off the one that works. The tool keeps up with you, instead of the other way around.
Embody writes externalized files relative to your .toe location — no special folder structure required. Embody works in any project folder; if you happen to use git, every change is also a clean diff for free.
my-project/ ← project folder (optionally a git repo)
├── my-project.toe ← your TouchDesigner project
├── base1/ ← externalized operators
│ ├── base2.tox ← COMP (TOX strategy)
│ ├── base3.tdn ← COMP (TDN strategy — diffable JSON)
│ └── text1.py ← DAT
└── ...
.tox from /release and drag it into your TouchDesigner projectlctrl twice to tag and externalize itctrl + shift + u to update all externalizations, or ctrl + alt + u to update only the current COMP. On project open, Embody restores everything from disk automaticallyTip: If no operators are tagged, Embody will externalize all eligible COMPs and DATs, which may slow down complex projects. Tagging selectively is recommended.
Envoyenable parameter on the Embody COMPlocalhost:9870 (configurable via Envoyport).mcp.json in your git repo root.mcp.json automaticallyIf your project isn't in a git repo, add .mcp.json manually to your project root:
{
"mcpServers": {
"envoy": {
"type": "http",
"url": "http://localhost:9870/mcp"
}
}
}
Embody includes Envoy, an embedded MCP server that gives AI coding assistants direct access to your live TouchDesigner session.
创新的MCP应用案例,将AI能力与创意工具深度融合。代码质量可靠,社区活跃度中等。适合专业创意开发者。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,Embody TouchDesigner AI助手 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | Embody |
| 原始描述 | 开源MCP工具:MCP server for TouchDesigner — build, wire, and debug networks with AI. Plus git。⭐107 · Python |
| Topics | MCP服务器TouchDesigner创意编码AI调试Python |
| GitHub | https://github.com/dylanroscover/Embody |
| License | MIT |
| 语言 | Python |
收录时间:2026-05-21 · 更新时间:2026-05-22 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端