能力标签
Houdini MCP
🔌
MCP工具

Houdini MCP

基于 Python · 让 AI 助手直接操作你的系统与工具
英文名:fxhoudinimcp
⭐ 80 Stars 🍴 13 Forks 💻 Python 📄 MIT 🏷 AI 8.0分
8.0AI 综合评分
aihoudinimcppython
✦ AI Skill Hub 推荐

AI Skill Hub 强烈推荐:Houdini MCP 是一款优质的MCP工具。AI 综合评分 8.0 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。

📚 深度解析

Houdini MCP 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 Houdini MCP,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。Houdini MCP 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 Houdini MCP 评为 AI 评分 8.0 分,属于同类工具中的优质选择。

📋 工具概览

Houdini MCP 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。

GitHub Stars
⭐ 80
开发语言
Python
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
8.0 分
工具类型
MCP工具
Forks
13

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

Houdini MCP 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。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/healkeiser/fxhoudinimcp

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "houdini-mcp": {
      "command": "npx",
      "args": ["-y", "fxhoudinimcp"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 Houdini MCP 执行以下任务...
Claude: [自动调用 Houdini MCP 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"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "houdini_mcp": {
      "command": "npx",
      "args": ["-y", "fxhoudinimcp"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 52/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <img src="https://raw.githubusercontent.com/healkeiser/fxhoudinimcp/main/docs/images/banner.webp" alt="fxhoudinimcp: the MCP server for SideFX Houdini" width="100%"> </p>

<p align="center"> <img src="https://img.shields.io/badge/maintenance-actively--developed-brightgreen.svg?&label=Maintenance">&nbsp;&nbsp; <img src="https://img.shields.io/badge/License-MIT-brightgreen.svg?&logo=open-source-initiative&logoColor=white" alt="License: MIT"/>&nbsp;&nbsp; <img src="https://img.shields.io/github/last-commit/healkeiser/fxhoudinimcp?logo=github&label=Last%20Commit" alt="Last Commit"/>&nbsp;&nbsp; <a href="https://github.com/healkeiser/fxhoudinimcp/pulse" alt="Activity"> <img src="https://img.shields.io/github/commit-activity/m/healkeiser/fxhoudinimcp?&logo=github&label=Commit%20Activity"/></a>&nbsp;&nbsp; <a href="https://pypi.org/project/fxhoudinimcp/"> <img src="https://img.shields.io/pypi/v/fxhoudinimcp?logo=pypi&logoColor=white&label=PyPI" alt="PyPI"/></a>&nbsp;&nbsp; <a href="https://pepy.tech/projects/fxhoudinimcp"><img src="https://static.pepy.tech/badge/fxhoudinimcp" alt="PyPI Downloads"></a>&nbsp;&nbsp; <img src="https://img.shields.io/github/stars/healkeiser/fxhoudinimcp" alt="GitHub Stars"/> </p>

</div>

About

An MCP server for SideFX Houdini: it lets an AI assistant build networks, set up simulations, inspect USD stages and render, through Houdini's own Python API. It works with any MCP client: Claude, Codex, Copilot, Gemini, Cursor, Windsurf, VS Code, Cline and others.

215 tools, 8 resources, and 9 prompts serving 31 written workflow guides out of the box.

CategoryToolsDescription
**Graph Intelligence**6Atomic validated network building, network verification, node doc cards, cook profiling, frame-range cooking with per-frame evidence, cook status
**Documentation**3Full-text search + page retrieval over Houdini's own shipped manual (version-exact)
**Scene Management**10Open, save, import/export, scene info, connection status, undo/redo
**Sessions**3Switch between open Houdini sessions, start a headless or GUI Houdini of the server's own, stop it
**Node Operations**22Create, delete, copy, connect, layout, flags, network boxes, sticky notes, object transforms
**Parameters**14Get/set values in bulk, expressions, keyframes, spare parameters
**Geometry (SOPs)**16Points, prims, attributes, attribute statistics, volume statistics and sampling, groups, sampling, nearest-point search
**LOPs/USD**21Stage inspection, prims, world transforms over frames, layers, composition, variants, lighting
**DOPs**8Simulation info, DOP objects, step/reset, memory usage
**PDG/TOPs**12Cook, work items, failed items and logs, schedulers, dependency graphs
**COPs (Copernicus)**7Image nodes, layers, VDB data
**HDAs**13Create, install, manage Digital Assets, their versions and sections
**Animation**9Keyframes, playbar control, frame range
**Rendering**10Viewport capture, contact sheets of a frame range without a viewport, render nodes, settings, render launch
**VEX**5Create/edit wrangles, validate VEX code
**Code Execution**7Python, HScript, expressions, env variables, file references, update mode
**Viewport/UI**14Pane management, viewer context, verified camera and renderer state, screenshots, error detection
**Scene Context**8Network overview, cook chain, selection, scene summary, error analysis
**Workflows**8One-call Pyro/RBD/FLIP/Vellum setup, SOP chains, render config
**Materials**4List, inspect, create materials and shader networks
**CHOPs**4Channel data, CHOP nodes, export channels to parameters
**Cache**4List, inspect, clear, write file caches
**Takes**4List, create, switch takes with parameter overrides
**Shelf Tools**3Find, read and run Houdini's own shelf tools (setups build_network cannot produce)
flowchart LR subgraph Client[" 🤖 AI Client "] direction TB A1("Claude · Codex · Copilot · Gemini") A2("Cursor · Windsurf · VS Code · Cline") A3("any stdio MCP client") end subgraph MCP[" ⚡ FXHoudini MCP Server "] direction TB B1("🔧 215 tools") B2("📦 8 Resources") B3("💬 9 Prompts") end subgraph Houdini[" 🔶 SideFX Houdini "] direction TB C1("🌐 hwebserver") C2("📡 Dispatcher") C3("🎛️ hou.* Handlers") C1 --> C2 --> C3 end Client -. "MCP Protocol · stdio" .-> MCP MCP -. "HTTP / JSON · port 8100" .-> Houdini classDef clientBox fill:#f0f4ff,stroke:#b8c9e8,stroke-width:1px,color:#2d3748,rx:12,ry:12 classDef mcpBox fill:#eef6f0,stroke:#a8d5b8,stroke-width:1px,color:#2d3748,rx:12,ry:12 classDef houdiniBox fill:#fff5f0,stroke:#e8c4a8,stroke-width:1px,color:#2d3748,rx:12,ry:12 classDef clientNode fill:#dbe4f8,stroke:#96b0dc,stroke-width:1px,color:#2d3748,rx:8,ry:8 classDef mcpNode fill:#d4edda,stroke:#82c896,stroke-width:1px,color:#2d3748,rx:8,ry:8 classDef houdiniNode fill:#fde4d0,stroke:#e0a87c,stroke-width:1px,color:#2d3748,rx:8,ry:8 class Client clientBox class MCP mcpBox class Houdini houdiniBox class A1,A2,A3 clientNode class B1,B2,B3 mcpNode class C1,C2,C3 houdiniNode

The plugin runs on Houdini's built-in hwebserver and executes every hou.* call on the main thread through hdefereval. The MCP server is a separate process your AI client starts; it relays tool calls to the plugin over loopback HTTP.

Installation

Requires Houdini 20.5+ (tested on 20.5, 21.0 and 22.0) and Python 3.10+ outside Houdini.

pip install fxhoudinimcp
python -m fxhoudinimcp install

Restart Houdini and your MCP client. An MCP menu appears in Houdini's menu bar.

install sets up both halves: it writes a Houdini package file into every Houdini packages directory it finds, and registers the server with every MCP client it finds (Claude Code, Claude Desktop, Codex, Copilot CLI, Gemini CLI, Cursor, Windsurf, VS Code, Cline). Use the python -m form: the Python that runs it is the one written into the client config.

FlagWhat it does
--dry-runReport every change, make none
--houdini-dir DIRWrite into this packages directory only
--client-onlyRegister a client, leave Houdini untouched
--client NAMEClient to register, repeatable: claude-code, claude-desktop, codex, copilot, gemini, cursor, windsurf, vscode, cline. Default auto (every one detected); none to skip

An existing fxhoudini client entry pointing at another Python is repointed, and the old value printed.

pip install --upgrade fxhoudinimcp upgrades both halves, since the plugin ships inside the wheel. The exception is a plugin loaded from a git clone, which you update with git.

Uninstalling

pip uninstall alone leaves the package file and the client entry behind, and both then fail silently. Remove them first:

python -m fxhoudinimcp uninstall
pip uninstall fxhoudinimcp
FlagWhat it removes
--dry-runNothing. Lists what it would remove
--houdini-dir DIROnly this packages directory, instead of every one found
--client-onlyOnly the client registration, leaving the package files
--client NAMEWhich client to unregister from, repeatable; same names as install. Default auto takes every one with an entry
--yesSkip the confirmation. Required when stdin is not a terminal

Installing by hand

For a clone, a locked-down machine, or untangling a broken setup.

1. Point Houdini at the plugin. Print the package file for this install, then write it:

fxhoudinimcp houdini-package
fxhoudinimcp houdini-package --write "~/Documents/houdini22.0/packages"

Don't type the plugin path by hand: it moves whenever the Python environment does. To load the plugin from a clone instead, write the package file yourself (the path must end in /houdini):

{
  "env": [
    {
      "FXHOUDINIMCP": "C:/Users/you/code/fxhoudinimcp/houdini"
    }
  ],
  "path": "$FXHOUDINIMCP"
}

2. Point your MCP client at the server. Every client runs the same command, <python> -m fxhoudinimcp, where <python> is the absolute path of the Python that has fxhoudinimcp (python -c "import sys; print(sys.executable)"). Clients don't inherit your shell's PATH, and a bare python just shows as "disconnected".

CLI clients register it with their own command. File-based clients take this entry in their config file:

{
  "mcpServers": {
    "fxhoudini": {
      "command": "C:\\Program Files\\Python311\\python.exe",
      "args": ["-m", "fxhoudinimcp"]
    }
  }
}
ClientRegister withRemove with
Claude Codeclaude mcp add --scope user fxhoudini -- <python> -m fxhoudinimcpclaude mcp remove fxhoudini -s user
Codexcodex mcp add fxhoudini -- <python> -m fxhoudinimcpcodex mcp remove fxhoudini
Copilot CLIcopilot mcp add fxhoudini -- <python> -m fxhoudinimcpcopilot mcp remove fxhoudini
Gemini CLIgemini mcp add -s user fxhoudini <python> -m fxhoudinimcpgemini mcp remove -s user fxhoudini
Claude Desktopclaude_desktop_config.json in the app-data Claude/ folder, key mcpServers; quit from the tray and relaunchdelete the entry
Cursor~/.cursor/mcp.json, key mcpServersdelete the entry
Windsurf~/.codeium/windsurf/mcp_config.json, key mcpServersdelete the entry
VS Codeuser mcp.json (**MCP: Open User Configuration**), key servers, entry gets "type": "stdio"delete the entry
Cline~/.cline/data/settings/cline_mcp_settings.json, key mcpServersdelete the entry

Any other stdio client takes <python> -m fxhoudinimcp as its command. python -m fxhoudinimcp install --client-only does this step for you.

Usage

The plugin starts with Houdini's UI (FXHOUDINIMCP_AUTOSTART), and the MCP menu starts, stops and checks it. MCP > Connect a Client... shows the port this session actually got (a second Houdini takes the next free port), copies the command that registers the server with every client found, and lists the manual form for each client.

Then ask for things:

"Create a procedural rock generator with mountain displacement"
"Set up a Pyro simulation with a sphere source"
"Build a USD scene with a camera, dome light, and ground plane"
"Debug why my scene has cooking errors"

Every tool call is one undo step. Tools leave your selection, viewport camera and network editor where they were, so you can keep working in the scene while the assistant does.

Configuration

VariableDefaultRead byDescription
FXHOUDINIMCP_PORT8100HoudiniPort the plugin listens on; a second Houdini takes the next free one
FXHOUDINIMCP_BIND127.0.0.1HoudiniAddress the plugin binds. See [Security](#security) before widening it
FXHOUDINIMCP_AUTOSTART1Houdini0 disables auto-start
FXHOUDINIMCP_AUTO_LAYOUT0both1 lets tools re-lay-out a network after changing it. Off, only new nodes are placed
FXHOUDINIMCP_PROJECT_ROOTunsetHoudiniConfine hip, import, export and HDA files to this directory
FXHOUDINIMCP_TIMEOUT120HoudiniSeconds a command may run; write_cache, start_render, cook_frame_range and press_button have no deadline
FXHOUDINIMCP_TIMEOUT_<COMMAND>unsetHoudiniPer-command override: FXHOUDINIMCP_TIMEOUT_TOPS_COOK_TOP_NODE=900
FXHOUDINIMCP_OUTPUT_GRACE2HoudiniSeconds a render or cache may take to show its file before it counts as not written
HOUDINI_HOSTlocalhostclientHoudini host
HOUDINI_PORTscan 8100-8115clientPin one Houdini port; switches off the scan
HOUDINI_TIMEOUTplugin timeout + 15clientSeconds the client waits for a command
MCP_TRANSPORTstdioclientstdio or streamable-http
LOG_LEVELINFOclientLogging level

Houdini-side variables live in the package file install wrote, where every one sits at its default. They win over the same variables in your shell; install keeps your edits when it runs again. Client-side variables go in your MCP client's config.

Troubleshooting

No MCP menu in Houdini. Houdini skipped the package file without saying so. Start it with HOUDINI_PACKAGE_VERBOSE=1 and look for Loading: and Processing: lines for fxhoudinimcp.json. The usual causes:

  • the plugin path in the file doesn't exist;
  • the file starts with a UTF-8 BOM (PowerShell's Set-Content -Encoding UTF8 adds one);
  • another fxhoudinimcp.json in a later packages directory overrides it (fxhoudinimcp houdini-package lists them all, uninstall removes them);
  • the Houdini version you launched has no package file (each version reads its own preferences directory).

On Windows, OneDrive can make a desktop-launched and a shell-launched Houdini read different preference directories; the package log shows which one is used.

The client shows "disconnected". Its config names a bare python; use the absolute path.

A documented subcommand seems missing. Check python -m fxhoudinimcp --version: an editable install reports the version it was created at.

The assistant can't reach Houdini. get_houdini_connection_status lists every Houdini serving the plugin and why a connection failed.

🇨🇳 中文文档镜像 AI 翻译 2026-06-28
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

fxhoudinimcp 是专为 SideFX Houdini 设计的最全面的 MCP (Model Context Protocol) 服务器。它通过将 Claude 等 AI 助手直接连接到 Houdini 的 Python API,实现了通过自然语言控制场景构建、模拟设置、渲染及更多操作的能力。项目开箱即用,内置了 179 个工具、8 个资源和 6 个工作流 Prompt,让 AI 能够深度理解并操作 Houdini 环境。

⚡ 功能介绍

本项目提供了极其丰富的工具集,涵盖了 22 个核心类别。其中包括用于网络构建与验证的 Graph Intelligence 工具、支持版本精确匹配的 Houdini 官方文档全文检索功能、完善的 Scene Management 场景管理工具,以及包含 17 个节点的 Node Operations 操作集。开发者可以利用这些工具实现从节点文档查询到复杂网络逻辑验证的全流程自动化。

📋 环境依赖

在使用本项目前,请确保您的系统已安装 Houdini 20.5 或更高版本(已在 21.0 版本完成测试),并配置有 Python 3.10+ 环境。此外,您需要安装 MCP SDK (`mcp` package) 1.8 或更高版本。对于开发者,建议安装开发依赖以运行集成测试,测试过程需在真实的 Houdini 环境中进行。

🛠 安装步骤(Docker/pip/源码)

安装分为两个步骤:首先安装 MCP Server,可以通过 PyPI 使用 `pip install fxhoudinimcp` 进行快速安装,也可以从源码通过 `pip install -e .` 进行开发安装。其次需要安装 Houdini Plugin,推荐使用 Houdini package 方式,将 `houdini/fxhoudinimcp.json` 复制到您的 Houdini packages 目录并修改 `FXHOUDINIMCP` 路径指向本项目目录;也可选择手动复制文件的方式进行部署。

🚀 使用教程

安装完成后,正常启动 Houdini 即可。插件会在 UI 就绪后根据环境变量 `FXHOUDINIMCP_AUTOSTART` 的设置自动启动。启动脚本通过 `uiready.py` 实现,能够与其他 Houdini packages 良好兼容。您也可以通过 Houdini 界面中的 MCP Server shelf 工具手动切换开关。启动时,系统会自动验证 Houdini 的 `mcp.health` 端点是否响应,以确保通信正常。

⚙️ 配置说明(含 MCP / env)

配置 MCP Client 时,若使用 Claude Desktop,需在 `claude_desktop_config.json` 中添加 `fxhoudini` 配置,并指定正确的 `HOUDINI_HOST` 和 `HOUDINI_PORT`。若使用 Claude Code,可通过命令行 `claude mcp add` 进行全局配置。此外,可以通过环境变量(如 `FXHOUDINIMCP_PORT`、`FXHOUDINIMCP_AUTOSTART` 等)灵活调整服务器监听端口及自动启动行为。

🔄 工作流/模块

本项目提供了便捷的工作流封装工具。单元测试通过 Mock `hou` 模块实现,可在任何环境下运行;而集成测试套件则通过 `hython` 在真实的 Houdini 实例中执行全部 179 个命令,涵盖程序化建模、模拟、动画及 Lookdev 等端到端用户场景,并能输出每个命令的耗时与覆盖率报告,确保工作流的可靠性。

🎯 aiskill88 AI 点评 A 级 2026-06-11

全面支持Houdini,功能强大

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • Python 依赖冲突:建议用 venv / uv 隔离环境
部署方案
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
fxhoudinimcp 中文教程fxhoudinimcp 安装报错怎么办fxhoudinimcp MCP 配置fxhoudinimcp 与同类工具对比fxhoudinimcp 最佳实践fxhoudinimcp 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • Python 依赖冲突:建议用 venv / uv 隔离环境

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • −依赖 Claude 客户端,非 Claude 用户无法使用
  • −MCP 协议仍在持续演进,接口可能变更
  • −需要一定的配置步骤
⚠️ 使用须知

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。

📄 License 说明

✅ 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。

🔗 相关工具推荐

📚 相关教程推荐
📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

fxhoudinimcp 是一款Python开发的AI辅助工具。开源MCP工具:The most comprehensive MCP server for SideFX Houdini.。⭐80 · Python 主要应用场景包括:Houdini动画制作。
💡 AI Skill Hub 点评

总体来看,Houdini MCP 是一款质量优秀的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。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 Houdini MCP
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 fxhoudinimcp
原始描述 开源MCP工具:The most comprehensive MCP server for SideFX Houdini.。⭐80 · Python
Topics aihoudinimcppython
GitHub https://github.com/healkeiser/fxhoudinimcp
License MIT
语言 Python
🔗 原始来源
🐙 GitHub 仓库  https://github.com/healkeiser/fxhoudinimcp 🌐 官方网站  https://healkeiser.github.io/fxhoudinimcp/

收录时间:2026-06-11 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

📺 订阅 AI Skill Hub Daily Telegram 频道
每天 8 条精选 AI Skill、MCP、Agent 与自动化工具推送
加入频道 →