BlockbenchMCP
Enables AI assistants to build Minecraft models, textures, and animations directly inside Blockbench through the Model Context Protocol.
README
BlockbenchMCP
Let an AI build Minecraft models, textures and animations directly inside Blockbench — through the Model Context Protocol.
BlockbenchMCP gives an AI assistant a live connection to a running Blockbench window. The model can start a project from the start screen, build geometry (bones + cubes), paint textures procedurally, author keyframe animations (including GeckoLib), install Blockbench plugins, move the camera, and take screenshots so it can look at its own work and refine it — all without you touching the editor.
<!-- Tip: add a screenshot or gif of a generated model here, e.g.
-->
It was used to model, texture and animate a full GeckoLib grizzly bear (walk / run / sleep / attack) end-to-end from a single prompt.
Table of contents
- How it works
- Features
- Requirements
- Installation
- Connecting your AI client
- Tool reference
- Example: an animated GeckoLib bear
- Troubleshooting
- Security
- Limitations
- Development
- License
How it works
There are two pieces:
| Piece | Runs where | Responsibility |
|---|---|---|
Bridge plugin — plugin/blockbench_mcp.js |
Inside Blockbench (desktop) | Hosts a local HTTP endpoint on 127.0.0.1:8787 (built on Node's net module) and runs each command against the Blockbench API on the renderer thread. |
MCP server — src/ → dist/ |
A Node process your AI client launches | Exposes Blockbench as MCP tools (stdio transport) and forwards every call to the bridge. |
┌────────────┐ stdio (MCP) ┌──────────────────┐ HTTP 127.0.0.1:8787 ┌─────────────────────┐
│ AI client │ ──────────────▶ │ blockbench-mcp │ ──────────────────────▶ │ Blockbench + plugin │
│ (Claude…) │ ◀────────────── │ (Node server) │ ◀────────────────────── │ (live editor) │
└────────────┘ └──────────────────┘ └─────────────────────┘
Features
- 🧱 Modeling — create bones (groups) and cubes one at a time or in bulk (
add_groups/add_cubesbuild a whole posed skeleton in one call), with full rotation and inflate; edit/move/reparent/delete, and read the outliner tree. - 🎨 Texturing — create textures, paint procedurally (pixels, rects, lines, circles, ellipses, polygons, dither, noise, gradients), auto-shade every cube face with
detail_cubes(no flat or untextured gaps), and place features in face-relative coordinates withpaint_faces. - 🎬 Animation — create animations, add keyframes in bulk for any bone/channel with interpolation control (linear / catmullrom / step / bezier).
- 📸 Vision —
screenshot,screenshot_views(several angles at once) andget_texturereturn images inline so the model can see and iterate, andcheck_modelaudits for problems. - 🧠 Guidance —
get_guidereturns a modeling/texturing playbook so the AI builds detailed, rotated models instead of a few flat boxes. - 🧩 Plugins — search, install (by store id, URL, or file) and uninstall Blockbench plugins, so the AI can set up formats like GeckoLib itself.
- 🔧 Escape hatch —
execute_scriptruns arbitrary Blockbench JS for anything not covered by a dedicated tool. - 🟢 40 tools total, all over a single local connection.
Requirements
- Blockbench desktop app, version 4.8+ (the web app cannot host the bridge — see Limitations).
- Node.js 18+ (for global
fetch). - An MCP-capable client (Claude Code, Claude Desktop, Cursor, etc.).
Installation
1. Install the bridge plugin in Blockbench
- Open the desktop Blockbench app.
- File ▸ Plugins ▸ Load Plugin from File and select
plugin/blockbench_mcp.js. (Alternatively copy it into your Blockbenchpluginsfolder.) - On first start the plugin asks for network permission (it needs the
netmodule to host the local server). Choose “Always allow for this plugin.” - A toast confirms “MCP server started on port 8787.”
- Toggle the server any time: Tools ▸ Start / Stop MCP Server
- Change the port: Settings ▸ General ▸ MCP Server Port (default
8787)
Verify it's up:
curl http://127.0.0.1:8787/ping
# {"ok":true,"protocol":1,"blockbench_version":"5.x.x","is_app":true,"has_project":false}
2. Build the MCP server
git clone https://github.com/sosadly/blockbench-mcp.git
cd blockbench-mcp
npm install
npm run build
Connecting your AI client
Point your client at dist/index.js over stdio. Use an absolute path.
Claude Code — .mcp.json in your project (or claude mcp add):
{
"mcpServers": {
"blockbench": {
"command": "node",
"args": ["/absolute/path/to/blockbench-mcp/dist/index.js"],
"env": { "BLOCKBENCH_MCP_PORT": "8787" }
}
}
}
Claude Desktop — claude_desktop_config.json:
{
"mcpServers": {
"blockbench": {
"command": "node",
"args": ["C:\\path\\to\\blockbench-mcp\\dist\\index.js"]
}
}
}
| Env var | Default | Purpose |
|---|---|---|
BLOCKBENCH_MCP_PORT |
8787 |
Must match the plugin's port setting. |
BLOCKBENCH_MCP_HOST |
127.0.0.1 |
Bridge host. |
Tool reference
| Group | Tools |
|---|---|
| Status & guidance | get_status, get_guide, list_formats |
| Project | new_project, set_project_meta, save_project, export_project, load_project, close_project |
| Geometry | add_group, add_cube, add_groups, add_cubes, edit_element, delete_element, list_outliner, get_element, check_model |
| UV & textures | create_texture, paint_texture, detail_cubes, paint_faces, apply_texture, set_cube_uv, import_texture, resize_texture, list_textures, get_texture |
| Animation | create_animation, add_keyframe, add_keyframes, list_animations, remove_animation |
| View | set_camera_angle, screenshot, screenshot_views |
| Plugins | list_plugins, install_plugin, uninstall_plugin |
| Escape hatch | execute_script |
Conventions: coordinates are Blockbench units; rotations are degrees; texture pixel ops use a top-left origin with y pointing down. add_cube returns each face's resolved UV rect; detail_cubes then base-coats every face and paint_faces lets you paint features (eyes, nose, claws) in coordinates relative to a face, so you don't compute absolute UVs by hand.
Example: an animated GeckoLib bear
The sequence an AI follows for “make a textured GeckoLib bear that can walk, run, sleep and attack”:
// 0. Read the playbook so the model comes out detailed and rotated, not boxy
get_guide {}
// 1. Install GeckoLib (adds the `geckolib_model` format)
install_plugin { "id": "geckolib" }
// 2. New project, straight from the start screen
new_project { "format": "geckolib_model", "name": "bear",
"texture_width": 64, "texture_height": 64 }
// 3. Lay out the whole posed skeleton in one call — note the rotated bones
add_groups { "groups": [
{ "name": "body", "origin": [0, 12, 0] },
{ "name": "head", "origin": [0, 14, -7], "parent": "body", "rotation": [10, 0, 0] }, // nose down
{ "name": "leg_fl", "origin": [3, 8, -5], "parent": "body", "rotation": [-6, 0, 0] },
{ "name": "leg_fr", "origin": [-3, 8, -5], "parent": "body", "rotation": [-6, 0, 0] }
// ...hind legs, ears, muzzle, tail...
] }
// 4. Build many cubes at once (segment limbs, taper with inflate, mirror left/right)
add_cubes { "cubes": [
{ "name": "torso", "from": [-5, 8, -7], "to": [5, 16, 7], "parent": "body" },
{ "name": "head", "from": [-3.5, 10, -13], "to": [3.5, 16, -7], "parent": "head" },
{ "name": "muzzle", "from": [-2, 10, -16], "to": [2, 13, -13], "parent": "head", "inflate": -0.5 }
// ...
] }
// 5. Texture: shaded base coat on EVERY face (no gaps), then features face-relative
create_texture { "name": "bear", "width": 64, "height": 64, "fill": "#6e4a2b" }
detail_cubes { "base": "#6e4a2b", "noise": 0.12, "bottom_dark": 0.3 }
paint_faces { "faces": [
{ "cube": "head", "face": "north", "ops": [
{ "type": "rect", "x": 2, "y": 2, "width": 1, "height": 1, "color": "#0f0a05" }, // eye
{ "type": "ellipse", "x": 3, "y": 4, "width": 2, "height": 2, "color": "#140e08" } // nose
] }
] }
// 6. Animate (bulk keyframes, smooth interpolation)
create_animation { "name": "animation.bear.walk", "loop": "loop", "length": 1.2 }
add_keyframes {
"animation": "animation.bear.walk",
"keyframes": [
{ "bone": "leg_fl", "channel": "rotation", "time": 0.0, "value": [28, 0, 0], "interpolation": "catmullrom" },
{ "bone": "leg_fl", "channel": "rotation", "time": 0.6, "value": [-28, 0, 0], "interpolation": "catmullrom" },
{ "bone": "leg_fl", "channel": "rotation", "time": 1.2, "value": [28, 0, 0], "interpolation": "catmullrom" }
]
}
// 7. Review from every side + audit, fix what you see, then repeat 4–7
screenshot_views { "views": ["isometric_right_front", "front", "left", "back"] }
check_model {}
// 8. Save / export
save_project { "path": "D:/models/bear.bbmodel" }
export_project { "path": "D:/models/bear.geo.json" }
Troubleshooting
Blockbench shows “server stopped” and Start does nothing.
The plugin needs the net module. When you click Start MCP Server, Blockbench shows a permission dialog — choose “Always allow for this plugin.” If you previously denied it, revoke and retry from the plugin's context menu, or restart Blockbench.
MCP tools fail with “Cannot reach Blockbench on 127.0.0.1:8787”.
Make sure Blockbench is open, the plugin is loaded, and the server is running (green toast / curl .../ping works). Confirm the port in the plugin settings matches BLOCKBENCH_MCP_PORT.
“Unknown format … the matching plugin must be installed.”
Plugin formats like GeckoLib's geckolib_model require install_plugin { "id": "geckolib" } first. Run list_formats to confirm the id appeared.
Console 404s about about.md / the plugin store.
Harmless — Blockbench tries to fetch store metadata for the side-loaded plugin and gets a 404. It does not affect the bridge.
Security
- The bridge binds to
127.0.0.1only — it is not reachable from your network. execute_scriptruns unsandboxed JavaScript inside Blockbench. Only connect MCP clients you trust, and prefer the dedicated tools overexecute_scriptwhere possible.
Limitations
- Desktop only. The bridge relies on Node modules (
net), which the Blockbench web app does not expose to plugins. - One Blockbench window. The bridge talks to whichever project is currently active.
- Box-UV packing is up to the caller;
add_cubereturns resolved face UVs to make this manageable.
Development
npm run dev # tsc --watch
npm run build # one-off compile to dist/
- MCP tool definitions live in
src/tools.ts; the HTTP client insrc/client.ts; the server entry insrc/index.ts. - Bridge command handlers live in
plugin/blockbench_mcp.jsunder thecommandsobject — add a handler there and a matching tool intools.tsto extend the surface. - The Blockbench API used by the bridge is documented in the official type definitions.
License
Built with the Model Context Protocol. Not affiliated with Blockbench or GeckoLib.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
mcp-server-qdrant
这个仓库展示了如何为向量搜索引擎 Qdrant 创建一个 MCP (Managed Control Plane) 服务器的示例。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。