Server data from the Official MCP Registry
An MCP server that provides access to the Zoo API for various CAD operations and tools.
An MCP server that provides access to the Zoo API for various CAD operations and tools.
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: ZOO_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-kittycad-zoo-mcp": {
"env": {
"ZOO_TOKEN": "your-zoo-token-here"
},
"args": [
"zoo_mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
An MCP server housing various Zoo built utilities
ZOO_API_TOKEN set to your API key
export ZOO_API_TOKEN="your_api_key_here"
uv venv
Install the package from GitHub
uv pip install git+ssh://git@github.com/KittyCAD/zoo-mcp.git
The server can be started by using uvx
uvx zoo-mcp
The server can be started locally by using uv and the zoo_mcp module
uv run -m zoo_mcp
The server can also be run with the mcp package
uv run mcp run src/zoo_mcp/server.py
The server can be used as is by running the server or importing directly into your python code.
from zoo_mcp.server import mcp
mcp.run()
Individual tools can be used in your own python code as well
from mcp.server.fastmcp import FastMCP
from zoo_mcp.ai_tools import text_to_cad
mcp = FastMCP(name="My Example Server")
@mcp.tool()
async def my_text_text_to_cad(prompt: str) -> str:
"""
Example tool that uses the text_to_cad function from zoo_mcp.tools
"""
return await text_to_cad(prompt=prompt)
The server can be integrated with Claude desktop using the following command
uv run mcp install src/zoo_mcp/server.py
The server can also be integrated with Claude Code using the following command
claude mcp add --scope project "Zoo-MCP" uv -- --directory "$PWD"/src/zoo_mcp run server.py
The server can also be tested using the MCP Inspector
uv run mcp dev src/zoo_mcp/server.py
For running with codex-cli
codex \
-c 'mcp_servers.zoo.command="uvx"' \
-c 'mcp_servers.zoo.args=["zoo-mcp"]' \
-c mcp_servers.zoo.env.ZOO_API_TOKEN="$ZOO_API_TOKEN"
You can also use the helper script included in this repo:
./codex-zoo.sh
The script prompts for a request, runs Codex with the Zoo MCP server, and saves a JSONL transcript (including token usage) to codex-run-<timestamp>.jsonl.
Contributions are welcome! Please open an issue or submit a pull request on the GitHub repository
PRs will need to pass tests and linting before being merged.
uvx ruff check
uvx ruff format
uvx ty check
The server includes tests located in tests. To run the tests, use the following command:
uv run pytest -n auto
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