Borrowing it
Nothing to install: this file belongs to KittyCAD/mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/KittyCAD/mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/KittyCAD/mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/kittycad/mcp/agents-md)<a href="https://agentmods.dev/instructions/kittycad/mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kittycad/mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/kittycad/mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/kittycad/mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02137 | $0.02137 |
| Opus 5.5 | $0.00855 | $0.00855 |
| Sonnet 5.5 | $0.00427 | $0.00427 |
| Haiku 4.5 | $0.00214 | $0.00214 |
Grade A, and why
mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Commands
Before committing any code, ensure all tests pass, formatting is good, linting is clean, and type checks succeed.
Environment Setup
uv venv- Create virtual environmentuv pip install -e .- Install package in development modeexport ZOO_API_TOKEN="your_api_key_here"- Set required Zoo API token
Running the Server
uv run -m zoo_mcp- Start the MCP server locallyuv run mcp run src/zoo_mcp/server.py- Alternative method using mcp packageuv run mcp dev src/zoo_mcp/server.py- Run server with MCP Inspector for testing
Testing and Quality
uv run pytest -n auto- Run all tests (includeslivetests that hit zoo.dev)uv run pytest -n auto -m "not live"- Run all tests except those that hit live external services (use this when offline or to avoid network calls)uv run pytest tests/test_server.py- Run specific test fileuv run ruff check- Run linteruv run ruff format- Format codeuv run ty check- Type check source code
Integration Commands
uv run mcp install src/zoo_mcp/server.py- Install server for Claude Desktop integration
Architecture
This is a Model Context Protocol (MCP) server that exposes Zoo CAD and KCL utility tools to AI assistants. The architecture consists of:
Core Components
src/zoo_mcp/server.py-MCPServer(mcp 2.x) server that defines the MCP interface and registers all@mcp.tool()entry points (KCL execution, snapshots, physical-property calculations, KCL docs/samples lookup, org datasets, etc.). Owns the lifespan hook that lazily populates the KCL docs/samples indexes.src/zoo_mcp/zoo_tools.py- Implementations of the CAD-oriented tools that talk to Zoo's KittyCAD API (executing/exporting KCL, file conversion, snapshots, physical properties, sketch constraint status, lint-and-fix, org dataset listing/semantic search, etc.).src/zoo_mcp/kcl_docs.py- Fetches and indexes KCL documentation fromzoo.dev(via the sitemap, withAccept: text/markdown) and exposes list/search/get helpers backed by a lazily-initialized index.src/zoo_mcp/kcl_samples.py- Indexes public Aquarium projects through the Zoo API and exposes list/search/get helpers. Sample names are public project IDs; KCL files are read from ZIP downloads on demand, preserving relative paths.src/zoo_mcp/utils/data_retrieval_utils.py- Shared helpers for fetchingzoo.devpages safely (path validation, redirect-blocking fetches, markdown excerpting) used bykcl_docs.pyandkcl_samples.py.src/zoo_mcp/utils/image_utils.py- Image utilities used by thesnapshottool (encoding to MCPImageContent, saving to disk, tiling up to four views into a collage, resizing).src/zoo_mcp/__init__.py- Package initialization: configures logging and the shared TLS context, and definesZooMCPExceptionandZooMCPTimeoutError.src/zoo_mcp/__main__.py-python -m zoo_mcpentry point; delegates toserver.main.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 22d ago Changed · +41 tokens per session c237b3d84235
- 1mo ago Changed · +9 tokens per session 279a3904a1f3
- 2mo ago First seen · 82 lines · 2,087 tokens per session scan A d3e1f3bb8b30
mcp AGENTS.md is an instructions file published in the GitHub repository KittyCAD/mcp (11 stars, last pushed yesterday), licensed MIT. It adds 2,137 tokens to every session, about $0.0085 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp AGENTS.mdKittyCAD/mcp | Instructions file | 11 | yesterday | MIT | A | 2,137 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |