Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"cadquery-server": {
"env": {},
"args": [
"/path/to/cadquery-mcp-server/server.py"
],
"command": "python"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that provides CAD generation and verification tools for Claude Code. This server enables conversational 3D modeling by exposing CAD-Query functionality through MCP tools.
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uvx 'rff' 2>&1 | head -1 && echo "✓ Server started successfully"
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Checked rff against OSV.dev.
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A Model Context Protocol (MCP) server that provides CAD generation and verification tools for Claude Code. This server enables conversational 3D modeling by exposing CAD-Query functionality through MCP tools.
verify_cad_query - Validates CAD-Query generated models against criteriagenerate_cad_query - (Stub implementation) Generates CAD-Query Python scripts from descriptions# Install dependencies
uv sync
# For development with CAD verification capabilities
uv sync --extra cad
# Test the server
uv run python tests/test_server.py
# Run with MCP Inspector (interactive testing)
uv run mcp dev server.py
Add this to your Claude Desktop configuration file:
Location: ~/Library/Application Support/Claude/claude_desktop_config.json
Location: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"cadquery-server": {
"command": "python",
"args": ["/path/to/cadquery-mcp-server/server.py"],
"env": {}
}
}
}
verify_cad_queryValidates a CAD-Query generated model against specified criteria.
Parameters:
file_path (string): Path to the CAD-Query Python fileverification_criteria (string): Description of what to verifyExample:
{
"file_path": "models/coffee_mug.py",
"verification_criteria": "coffee mug with handle, 10cm height, 8cm diameter"
}
Returns:
{
"status": "PASS" | "FAIL",
"message": "Description of result",
"file_path": "Path to verified file",
"criteria": "Verification criteria used",
"details": "Additional verification details"
}
generate_cad_query (Stub Implementation)Generates CAD-Query Python scripts from natural language descriptions.
NOTE: Currently returns a stub response indicating the feature is not yet implemented.
Parameters:
description (string): Natural language description of the desired 3D modelparameters (string, optional): Specific dimensions or constraintsExample:
{
"description": "Create a coffee mug with a handle, 10cm tall and 8cm diameter",
"parameters": "height=100mm, diameter=80mm, handle_width=15mm"
}
Returns:
{
"status": "NOT_IMPLEMENTED",
"message": "CAD code generation is not yet implemented",
"description": "Input description",
"parameters": "Input parameters",
"details": "Additional information"
}
All CAD-Query scripts must end with show_object(result):
import cadquery as cq
result = cq.Workplane("XY").box(10, 10, 10)
show_object(result) # Required for processing
# Test server functionality
uv run python tests/test_server.py
# Interactive testing with MCP Inspector
uv run mcp dev server.py
# Run evaluations
uv run python evaluations/evaluate_verify.py
The current verify_cad_query implementation is a basic validator. You can enhance it to:
# formatting
uvx rff format
# running the MCP server
npx @modelcontextprotocol/inspector \
uv \
--directory $(pwd) \
run \
server.py