Tianshang301/TianshangCAD
Modern CAD CLI + MCP Server: 2D/3D drawing, editing, measurement, validation, batch automation, real-time collaboration (CRDT + WebSocket).
README
TianshangCAD
A modern CAD CLI + MCP Server system. 2D/3D drawing, editing, measurement, validation and JSON-driven workflows are available both from the command line and as standardized tools callable by any MCP client (AI agent).
Status: v0.10.5 — all phases through v0.9.0 collaborative editing complete. 919 tests passing, ~87% coverage (measured with optional extras installed),
ruffandmypyclean.
中文文档: readme/README.zh-CN.md
Changelog · Migration guide v0.6.0 → v0.9.0
Features
- CAD CLI —
file,draw,edit,view,measure,layer,batchcommand groups with short aliases (l=draw line,c=draw circle, ...) - MCP Server — 103 JSON-RPC tools over stdio, streamable HTTP or WebSocket (collaboration), callable from Claude, Cursor and other MCP clients
- 3D views — JSON-defined
View3DDefinitionwith spherical camera pose, named views (iso / top / front / side / back / bottom), perspective / orthographic projection, plane sections (XY / YZ / XZ), exploded views and orbit GIF animation; incremental WebGL delta sync for browser clients - Batch automation — schedule one-off / cron / dependency-chained jobs, sandboxed Python / SCR / batch script execution, webhook notifications, SQLite persistence and reusable Jinja2 command templates
- Geometry validation — self-intersection, degenerate-face and
non-manifold-edge checks with structured
type/location/fix_suggestiondiagnostics; box-box interference volumes; topology metrics - Rendering — 2D orthographic PNG (top / front / side, DPI 72–300), shaded 3D preview and Three.js WebGL export with a bundled browser viewer
- Versioning — full document snapshots with
deepdiff-based save / list / diff / restore - Natural language —
cad_nlp_commandmaps English / Chinese requests to tool calls with ambiguity handling - JSON-driven — scenes and geometry defined and validated with Pydantic schemas; full import/export round-trip
- Pluggable kernel — analytic (default, no native deps) / OCC
(
cadquery) / FreeCAD - File IO — JSON, DXF, STL (STEP via the OCC backend)
- Production hardening — Docker image with healthcheck, Prometheus
metrics (
/metrics), API-key authentication (401/403), sliding-window rate limiting (429) and a/healthendpoint - Quality gates —
mypystrict typing,rufflinting,pytestwith a 80% coverage floor; GitHub Actions CI runs lint + tests on every push. The reported ~87% coverage assumes the optional extras (boolean,solver,occ,collab,sim) are installed; the basepip install -e .suite measures lower.
Install
python -m venv .venv
# Windows
.venv\Scripts\activate
# Linux / macOS
source .venv/bin/activate
pip install -e ".[dev]"
Self-contained Debian package (Linux amd64, bundles all runtime wheels — no network access needed at install time):
wget <release>/tianshangcad_<version>_amd64.deb
sudo dpkg -i tianshangcad_<version>_amd64.deb
Optional OCC kernel:
pip install -e ".[occ]"
CLI Usage
tianshangcad --version
tianshangcad file new design.json --unit mm
tianshangcad draw line 0,0 100,0
tianshangcad draw circle 50,50 --radius 25
tianshangcad draw box 0,0,0 --dimensions 100,50,30
tianshangcad edit move line_1 --dx 50
tianshangcad view zoom --extents
tianshangcad measure distance 0,0 100,100
Short aliases are expanded automatically:
tianshangcad l 0,0 100,0 equals tianshangcad draw line 0,0 100,0.
tianshangcad --version prints the current version (e.g. tianshangcad 0.10.5).
Command groups
| Group | Commands |
|---|---|
file |
new, open, save, close, list, info, export, import |
draw |
line, circle, arc, rectangle, polygon, polyline, box, cylinder, sphere |
edit |
move, copy, rotate, scale, erase, list, undo, redo |
view |
zoom, pan, list |
measure |
distance, area, list |
layer |
create, list, set, on, off, delete |
render |
view, 3d, webgl, view3d, section, explode, gif, views, status |
batch |
schedule, run-script, list, status, cancel, templates, logs |
MCP Server
Run the server and connect any MCP client to it.
stdio (local agents)
python -m tianshangcad --transport stdio
Streamable HTTP
python -m tianshangcad --transport http --host 127.0.0.1 --port 8081
The server then serves MCP at http://127.0.0.1:8081/mcp, exposes a health
check at /health and Prometheus metrics at /metrics.
When an API key is configured (via the TIANSHANGCAD_API_KEYS env var, comma-separated),
HTTP requests must send it as x-api-key or Authorization: Bearer <key>:
missing keys get 401, invalid keys get 403. Requests are also subject to a
sliding-window rate limit (default 100 requests / 60 s, configurable via
TIANSHANGCAD_RATE_LIMIT_MAX and TIANSHANGCAD_RATE_LIMIT_WINDOW); exceeding it returns 429.
/health and /metrics are always public. stdio mode is unaffected.
Tools (103 total)
| Group | Tools |
|---|---|
| Files | cad_file_create, cad_file_open, cad_file_save, cad_file_close, cad_file_list, cad_file_export, cad_file_import |
| Objects | cad_object_create, cad_object_read, cad_object_update, cad_object_delete, cad_object_list |
| Boolean | cad_boolean_union, cad_boolean_subtract, cad_boolean_intersect, cad_object_boolean |
| Variables | cad_variable_set, cad_variable_list |
| Layers | cad_layer_create, cad_layer_read, cad_layer_update, cad_layer_delete, cad_layer_list |
| JSON | cad_json_load, cad_json_parse, cad_json_validate, cad_json_import_geometry, cad_json_export_geometry, cad_json_import_scene, cad_json_export_scene, cad_json_save |
| Status | cad_status_check, cad_status_file, cad_status_object, cad_status_layer, cad_status_health, cad_logs_get, cad_logs_clear |
| Validation | cad_validate_geometry, cad_validate_interference, cad_validate_topology, cad_metrics_get |
| Render | cad_render_view |
| 3D Views | cad_view_3d_create, cad_view_3d_read, cad_view_3d_list, cad_view_3d_update, cad_view_3d_delete, cad_view_3d_render, cad_view_section, cad_view_explode, cad_view_animation, cad_webgl_sync |
| Version | cad_version_save, cad_version_list, cad_version_diff, cad_version_restore |
| NLP | cad_nlp_command, cad_nlp_chat |
| Batch | cad_batch_execute, cad_batch_schedule, cad_batch_status, cad_batch_cancel, cad_batch_list, cad_batch_templates, cad_batch_run_script |
| Constraints | cad_constraint_add, cad_constraint_remove, cad_constraint_list, cad_constraint_solve |
| Assembly | cad_assembly_create, cad_assembly_add_part, cad_assembly_add_subasm, cad_assembly_add_mate, cad_assembly_solve, cad_assembly_bom, cad_assembly_explode |
| Drawing | cad_drawing_create, cad_drawing_add_view, cad_drawing_add_section, cad_drawing_add_dimension, cad_drawing_add_tolerance, cad_drawing_export |
| Features | cad_feature_sweep, cad_feature_loft, cad_feature_fillet, cad_feature_chamfer, cad_feature_pattern_linear, cad_feature_pattern_circular, cad_feature_pattern_mirror |
| Simulation | cad_sim_mesh, cad_sim_setup, cad_sim_run, cad_sim_result, cad_sim_list |
| Collaboration | cad_collab_session, cad_collab_branch, cad_collab_annotation, cad_collab_presence, cad_collab_history, cad_collab_resolve, cad_collab_permission, cad_collab_sync |
Validation, rendering, 3D views & NLP
Validate geometry with structured diagnostics, render orthographic views, snapshot and restore document versions, drive tools from natural language, and create named 3D views with camera, section, explode and animation:
# Render a 300 DPI top view PNG
tianshangcad render view --view top --dpi 300 --output preview.png
tianshangcad render 3d --output preview3d.png
tianshangcad render webgl --output viewer_data.json --viewer examples/threejs_viewer.html
# 3D views
tianshangcad render view3d iso --output iso.png
tianshangcad render section XY --offset 0 --output section.png
tianshangcad render explode --scale 1.5 --output explode.png
tianshangcad render gif --frames 48 --output orbit.gif
tianshangcad render views
# NLP examples (via the MCP tool cad_nlp_command)
"new file design.dwg" -> cad_file_create {filename: design.dwg}
"draw a line from 0,0 to 10,10" -> cad_object_create (line)
"render the side view" -> cad_render_view {view: side}
"save a version" -> cad_version_save
cad_nlp_chat adds multi-turn dialogue with anaphora resolution: each
session_id remembers the last created object so later turns can refer to
it with pronouns or descriptions. Create intents are executed against the
current document, so "it" / "它" resolves to the real object id.
# Turn 1: draw a circle (creates the object, records it in the session)
"draw a circle at 5,5 radius 3" -> cad_object_create, object_id tracked
# Turn 2: move the referenced circle (same session_id)
"move it to 10,10" -> cad_object_update {object_id, params}
"move the circle I just drew to 3,3" -> same, explicit anaphora
"把它移到 4,4" -> same, Chinese pronoun
Version diffing uses deepdiff and reports changed fields, added/removed
items and the raw result. The WebGL export writes Three.js BufferGeometry
JSON consumable by examples/threejs_viewer.html. View definitions
(camera pose, projection, section/explode parameters) are persisted with the
document and are also exposed as MCP tools (cad_view_3d_*,
cad_view_section, cad_view_explode, cad_view_animation,
cad_webgl_sync).
Real-time collaboration
Phase 9 collaboration builds on the LWW-Map CRDT: a session holds the shared document state as keyed registers (geometry / layers / variables / constraints / assembly), with 4-role × 4-scope RBAC (viewer / editor / admin / owner over document / scene / assembly / settings). Sessions support presence, annotations, document branches (fork / edit / merge with explicit conflict resolution) and a transport-agnostic sync primitive:
# Optional dependency for the WebSocket hub
pip install -e ".[collab]"
tianshangcad collab create --name review # seed a session over the current doc
tianshangcad collab list
tianshangcad collab annotate <session_id> "check the hole"
tianshangcad collab perm <session_id> bob --role editor
# WebSocket transport (default port 8082)
python -m tianshangcad --transport ws --port 8082
MCP clients use cad_collab_session, cad_collab_branch,
cad_collab_annotation, cad_collab_presence, cad_collab_history,
cad_collab_resolve, cad_collab_permission and cad_collab_sync.
WebSocket clients speak a small JSON envelope (subscribe / op / sync /
ping) that maps onto the sync tool. A multi-client hub fans an applied
op out as a deltas broadcast to every subscriber of the same session
(excluding the origin sender, which already received its live response).
Batch & automation
Schedule jobs with a standard 5-field cron expression, dependency chains and webhook notifications; run scripts through a sandboxed engine; persist job state to SQLite:
# One-off job
tianshangcad batch schedule commands.json --name report
# Cron job (daily at 02:00) using a built-in template
tianshangcad batch schedule commands.json --cron "0 2 * * *"
# Run a sandboxed Python script
tianshangcad batch run-script script.py --type python --timeout 30
# Inspect results
tianshangcad batch list
tianshangcad batch status <job_id>
tianshangcad batch logs --source batch --job-id <job_id>
Scripts run in an isolated subprocess (python -I) with an import whitelist
(os, subprocess, socket, ... are blocked), a runtime sys.modules
guard and a hard timeout.
Docker
A multi-stage image (< 500 MB, python:3.11-slim) is provided in
docker/ for headless deployment:
docker compose -f docker/docker-compose.yml up -d
The container runs the MCP server over streamable HTTP on port 8081 with a
/health healthcheck, and mounts data/ + config/ volumes. Environment
overrides: TIANSHANGCAD_RUNTIME, TIANSHANGCAD_HEADLESS, TIANSHANGCAD_TEMP_DIR, TIANSHANGCAD_API_KEYS,
TIANSHANGCAD_LOG_LEVEL, TIANSHANGCAD_RATE_LIMIT_MAX, TIANSHANGCAD_RATE_LIMIT_WINDOW.
Example MCP client configuration (Claude Desktop ~/.config/claude/mcp.json):
{
"mcpServers": {
"cad-server": {
"command": "python",
"args": ["-m", "tianshangcad", "--transport", "stdio"],
"autoApprove": [
"cad_object_read",
"cad_object_list",
"cad_status_check",
"cad_json_load",
"cad_json_validate",
"cad_validate_geometry",
"cad_metrics_get"
]
}
}
}
Development
bash scripts/setup_dev.sh # venv + editable install + stubs
bash scripts/run_tests.sh # ruff + mypy + pytest (coverage gate >= 80%)
bash scripts/build_docs.sh
Or run each gate directly:
ruff check . # lint
mypy src # type check
pytest # tests (coverage gate >= 80%)
Benchmark harness (CADGenBench)
scripts/cadgenbench_harness.py is an offline demo harness that drives the
real MCP server over stdio to build a small set of 3D parts, export them as
STEP, and run a local validity check (watertight manifold) mirroring
CADGenBench's scoring gate -- no external API or HuggingFace token needed:
python scripts/cadgenbench_harness.py # analytic AP203 exporter
python scripts/cadgenbench_harness.py --occ # OCCT kernel path
# Results: dist/cadgenbench/run_summary.json
To turn this into a real CADGenBench submission, read a sample's
description.yaml, let an LLM choose the tool calls with this server as the
backend, and upload the resulting output.step candidates to the leaderboard
Space.
Project Layout
src/tianshangcad/
|-- cli/ # typer CLI: commands + alias expansion
|-- mcp/ # MCP server, transports, security and tool registry
| |-- server.py # MCPServer wiring (103 tools)
| |-- transport.py # stdio / streamable HTTP (+ auth, rate limiting)
| |-- security.py # tool permission whitelist
| |-- auth.py # API-key authentication
| |-- rate_limit.py # sliding-window rate limiter
| `-- tools/ # crud, json_ops, status, validate, batch, boolean,
| # file_io, variables, render, versioning, nlp, view3d,
| # features, simulation
|-- core/ # document, entity, layer, kernel, session, history,
| # variables, scheduler, script_runner, batch_templates,
| # validation, versioning, view_manager, features, simulation,
| # assembly, drawing, constraint
|-- io/ # JSON / DXF / STL importers and exporters
|-- schemas/ # Pydantic geometry, scene and view3d schemas
|-- render/ # 2D / 3D PNG rendering, WebGL export, section, explode,
| # animation
`-- utils/ # logger, config, errors, validators, units, metrics
examples/
`-- threejs_viewer.html # browser viewer for WebGL exports
docker/
|-- Dockerfile # multi-stage image (python:3.11-slim)
|-- docker-compose.yml # service definition with healthcheck
`-- entrypoint.sh
tests/
|-- unit/ # CLI, core, IO, MCP tool unit tests
`-- integration/ # MCP e2e, batch, JSON workflow and performance tests
Documentation
readme/README.zh-CN.md— Chinese README
Continuous Integration
.github/workflows/ci.yml runs ruff + mypy on every push / PR,
pytest with the 80% coverage gate on Python 3.11 and 3.12, and a separate
stress job for the concurrency / soak suite. Pushing a v* tag triggers
.github/workflows/release.yml, which builds the Windows executables
(tianshangcad.exe, tianshangcad-server.exe via PyInstaller) and the self-contained
Debian package (scripts/build_deb.py, bundles runtime wheels for Linux
amd64) and publishes them to a GitHub Release.
License
Apache License 2.0 — see LICENSE.
Community guidelines: Code of Conduct · Security: SECURITY.md · Contributing via pull requests is welcome.
Third-party runtime dependencies are all permissive-licensed (MIT / BSD /
Apache-2.0 / ISC / PSF, plus MPL-2.0 for certifi); the full inventory is in
THIRD_PARTY_LICENSES.md.
Optional backends: cadquery (Apache-2.0) is compatible. The optional
FreeCAD / OpenCASCADE backends are LGPL-2.1 and are not bundled; if you
enable them you must comply with the LGPL (retain notices, keep the library
re-linkable). The default AnalyticKernel is self-authored and fully
Apache-2.0.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.