Almond MCP
Enables interaction with Rhino 8 for architectural design, furniture placement, structural analysis, and publishing to Chestnut via MCP tools.
README
Almond MCP for Rhino
<p align="center"><img src="assets/almond-icon.svg" width="120" alt="Almond"></p>
Almond exposes Rhino 8 and a semantic design layer as MCP tools: curated furniture/drawing/diagram libraries with spatial contracts, audited Karamba capsules, structured retrieval (SQLite FTS5 + R-tree scene ledger), script execution over a TCP bridge, and publishing into Chestnut.
What Almond is
Most Rhino MCP servers give the model a single power: run a script. That demos well, but generation is blind — the model has no memory of what is already in the scene, no real-world dimensions, no constraints, and no way to check its own work. The result is geometry that looks plausible and measures wrong.
Almond is a semantic layer around Rhino, built so a language model can design with spatial awareness and produce high-detail, high-fidelity output:
- A persistent scene ledger (SQLite) — scenes, rooms, placed instances, delta-based revisions. The model queries the current state instead of guessing it.
- Curated asset libraries with spatial contracts — every furniture and drawing asset carries its real catalogue dimensions plus an authored contract: anchor point, floor footprint, functional clearances (e.g. 900 mm in front of a bookcase), collision shape, placement priority. Placement respects ergonomics, not just bounding boxes.
- Structured retrieval — FTS5 natural-language search and R-tree spatial indexes, isolated per library, returning compact asset cards sized for a model's context window.
- Layout validation — an R-tree broad-phase overlap and room-containment check the model can run before committing a layout.
- Audited Karamba capsules — typed input/output contracts
(
ALMOND_IN_*/ALMOND_OUT_*) over structural Grasshopper definitions, so generated structures get real displacement/utilization feedback. - Drawing recipes — layer hierarchies, plot weights, and linetype standards applied as one command, so output reads as an architectural drawing rather than raw curves.
- Script execution and GLB publishing — the raw
execute_rhino_scriptpower is still there, plus one-call publishing of selected geometry into Chestnut with physics metadata.
The design goal: the model composes from verified parts and validated layouts instead of hallucinating geometry.
Two pieces work together:
almond-mcp(this Python package, on PyPI) — the MCP server Claude talks to. Holds the semantic layer; needs no Rhino SDK.almondbridge(a Rhino 8 plugin, on the Rhino Package Manager) — listens on127.0.0.1:5000(local only) inside Rhino and executes what the server sends. Starts automatically with Rhino.
Setup, step by step
Fresh machine to working in about five minutes. You need Rhino 8 on Windows and a Claude that supports MCP (Claude Desktop or Claude Code).
-
Install the bridge. In Rhino 8 run
_PackageManager, searchalmondbridge, install, restart Rhino. You should seeRhinoAlmondBridge: TCP listener started on port 5000in the command history — no command needed. (AlmondMCPStatuschecks it any time.) -
Install uv (Python not required — uv manages everything):
winget install astral-sh.uv -
Register the server with Claude.
-
Claude Desktop: edit
%APPDATA%\Claude\claude_desktop_config.json:{ "mcpServers": { "Almond": { "command": "uvx", "args": ["almond-mcp"] } } } -
Claude Code:
claude mcp add Almond -- uvx almond-mcp
-
-
Restart Claude. The Almond tools (
execute_rhino_script,search_ikea_furniture,create_design_scene, …) appear in the tool list. First run creates%LOCALAPPDATA%\Almondwith the library manifests and the scene database. -
Check the plumbing (Rhino open):
uvx almond-mcp doctor -
Populate the asset libraries (optional — everything except model placement works without it). The manifests ship with the package, but the model files are 3D Warehouse content that cannot legally be redistributed (see
THIRD-PARTY-NOTICES.md), so each user downloads them from the original source pages:uvx almond-mcp fetch-assets --open # opens each missing model's source page uvx almond-mcp fetch-assets # re-run to verify sha256 checksumsSave each download into the library's
models/folder under the exact file name shown; the command verifies every checksum. -
Optional extras: Karamba3D 3.1 enables
validate_structure(found at runtime — never bundled); pointRHINO_MCP_LIBRARY_DIRat your own Grasshopper definition library to expose it vialist_library.
CLI
almond-mcp start the MCP server (also: almond-mcp serve)
almond-mcp fetch-assets report missing/invalid model files and their sources
almond-mcp doctor check directories, manifests, state DB, bridge port
almond-mcp paths print every resolved directory
Directory resolution order: RHINO_MCP_* environment variable → repository
checkout (development) → %LOCALAPPDATA%\Almond (installed). Overridable
locations:
| Environment variable | Default folder |
|---|---|
RHINO_MCP_LIBRARY_DIR |
Grasshopperfiles (your GH/Karamba definitions) |
RHINO_MCP_FURNITURE_DIR |
IkeaFurniturefiles |
RHINO_MCP_DRAWING_ASSET_DIR |
DrawingAssetfiles |
RHINO_MCP_DIAGRAM_ASSET_DIR |
DiagramAssetfiles |
RHINO_MCP_DRAWING_RECIPE_DIR |
DrawingRecipes |
RHINO_MCP_CAPSULE_DIR |
capsules |
RHINO_MCP_STATE_DB |
%LOCALAPPDATA%\Almond\almond_state.sqlite3 |
Rhino to Chestnut
After execute_rhino_script returns the GUIDs it created, publish only those
objects with:
publish_to_chestnut(
guids=[...],
asset_name="Timber Pavilion"
)
This preferred tool applies semantic defaults automatically. Its optional
behavior presets are architecture, object, and animated. Use the
lower-level tool only when explicit physics control is needed:
publish_objects_to_chestnut(
guids=[...],
asset_name="Timber Pavilion",
asset_id="timber-pavilion-01",
body_type="static",
collider="box",
preserve_scale=true,
mass=0
)
The tool:
- asks Rhino 8 to export the supplied GUIDs as GLB;
- explicitly maps Rhino Z-up to glTF Y-up;
- uploads the GLB and its source/physics metadata to Chestnut;
- creates or updates the stable
asset_id; and - removes the temporary GLB after publishing.
Reusing an asset_id updates the geometry while Chestnut placements continue
to reference the same asset URL.
Chestnut defaults to the deployed service at
https://chestnut-mnvo.onrender.com. Override it before starting the MCP
server when local development is required:
$env:CHESTNUT_URL = "http://127.0.0.1:3000"
almond-mcp
IKEA furniture library
Almond exposes a controlled IKEA Singapore furniture library:
list_ikea_furniture(category="chair")
search_ikea_furniture(
query="compact living room sofa",
max_width_mm=2000,
exact_dimensions_only=true
)
place_ikea_furniture(
asset_id="ikea-sg-klippan-s49010615",
x=0,
y=0,
z=0,
rotation_degrees=90
)
SketchUp files are resolved from the furniture library's manifest.json.
Claude cannot provide arbitrary import paths. Rhino imports each asset once
as a block definition and creates lightweight instances for subsequent
placements. Almond is not affiliated with Inter IKEA Systems B.V.; product
names identify the real products whose catalogue dimensions the manifest
records.
Architectural drawing asset library
Representation-only entourage and graphic proxies live in the independent drawing asset library. They never appear in IKEA searches:
search_drawing_assets(query="landscape tree")
get_drawing_asset(asset_id="context-tree-chinese-elm-a708cff4")
place_drawing_asset(
asset_id="context-tree-chinese-elm-a708cff4",
x=12000,
y=8000
)
Audited drawing recipes are stored separately in DrawingRecipes. The first
recipe creates a technical-axon layer hierarchy with plot weights and custom
hidden/overhead linetypes:
list_drawing_recipes()
get_drawing_recipe(recipe_id="technical_axon_v1")
apply_drawing_style(recipe_id="technical_axon_v1")
create_generation_plan(
goal="Produce a technical axonometric",
scope="drawing"
)
Karamba capsules
Audited capsule manifests (capsules/*.capsule.json) declare typed
input/output contracts for structural Grasshopper definitions using reserved
ALMOND_IN_* / ALMOND_OUT_* nicknames — beams, trusses, frames, shells,
gridshells, membranes, canopies, and high-rises. See capsules/AUTHORING.md
to bind your own definitions. Karamba3D itself is user-installed; the bridge
finds it at runtime via reflection.
Structured retrieval and scene state
Almond builds a local SQLite database from the asset manifests at startup. The database provides:
- library-isolated dimensional and category filters;
- FTS5 natural-language retrieval;
- R-tree asset and scene-instance spatial indexes;
- stable scene, room, asset, and instance handles;
- delta-based scene revisions; and
- dependency-ordered generation plans.
Search and list tools return compact asset cards. Full provenance,
footprints, clearances, and source metadata are returned only by
get_ikea_furniture. Geometry and Grasshopper files remain local.
Useful tools:
get_retrieval_status()
create_design_scene(name="Apartment test")
upsert_design_room(
scene_id="scene_...",
name="Living room",
bounds_mm=[0, 0, 0, 6000, 4500, 2800]
)
register_scene_instance(
scene_id="scene_...",
room_id="room_...",
asset_id="ikea-sg-klippan-s49010615",
x_mm=3000,
y_mm=3900
)
validate_scene_layout(scene_id="scene_...")
create_generation_plan(
goal="Generate and furnish a compact house",
scope="house",
scene_id="scene_..."
)
The current spatial validator is an R-tree world-AABB broad phase plus room containment. Oriented-footprint, functional-clearance, and automatic resolution passes can build on the same persistent scene ledger.
Development
git clone <repo> almond-mcp
cd almond-mcp
uv run pytest # 23 tests, no Rhino required
uv run almond-mcp doctor
On OneDrive-synced folders set UV_LINK_MODE=copy (OneDrive rejects uv's
hardlinks). Licensing: LICENSE (MIT), THIRD-PARTY-NOTICES.md, and
docs/licensing-audit.md for what may and may not be distributed.
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