Borrowing it
Nothing to install: this file belongs to dcc-mcp/dcc-mcp-3dsmax. 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/dcc-mcp/dcc-mcp-3dsmax/main/AGENTS.mdgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-3dsmaxWrote 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/dcc-mcp/dcc-mcp-3dsmax/agents-md)<a href="https://agentmods.dev/instructions/dcc-mcp/dcc-mcp-3dsmax/agents-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-3dsmax/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/dcc-mcp/dcc-mcp-3dsmax/agents-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-3dsmax/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 | $0.02689 | $0.02689 |
| Opus 5 | $0.01345 | $0.01345 |
| Sonnet 5 | $0.00538 | $0.00538 |
| Haiku 4.5 | $0.00269 | $0.00269 |
Grade A, and why
dcc-mcp-3dsmax 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 9d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — dcc-mcp-3dsmax Agent Navigation Map
Progressive disclosure: this file is a map, not an encyclopedia. Follow the links for depth. Stay here for breadth.
Agent Control Path
AI agent runtimes default to the shared gateway through the
dcc-mcp skill and dcc-mcp-cli REST commands:
dcc-mcp-cli search --query "<task>" --dcc-type 3dsmax
dcc-mcp-cli describe <tool-slug>
dcc-mcp-cli call <tool-slug> --json '{"key":"value"}'
Use dcc-mcp-cli list for live instances and dcc-mcp-cli dcc-types for
release-catalog support. IDE users may continue to configure the gateway MCP
endpoint; adapter-local Python start APIs are for host bootstrap and tests.
CLI availability and updates
If dcc-mcp-cli is missing, obtain user consent before using the official
install commands in the README Agent workflow. Keep an official build current
with:
dcc-mcp-cli update check
dcc-mcp-cli update apply
update apply stages the latest CLI for the next launch; it does not replace
a running server.
30-Second Summary
dcc-mcp-3dsmax embeds a standards-compliant MCP Streamable HTTP server directly inside Autodesk 3ds Max. It exposes ~130 3ds Max operations as MCP tools that any AI agent (Claude, Cursor, Gemini, etc.) can call over HTTP.
Current version: 0.2.3
Core dependency: dcc-mcp-core>=0.20.0,<1.0.0
Python: 3.7+
3ds Max: 2017+ (with pymxs)
Quick Start (3 Lines)
import dcc_mcp_3dsmax
server = dcc_mcp_3dsmax.start_server()
# MCP client connects to http://127.0.0.1:9765/mcp
Information Layers — Pick Your Depth
Layer 1 — You Are a User / Operator
- README.md — Installation, features, environment variables, quick start.
- install.md — Agent-facing setup instructions.
- skills/dcc-mcp-3dsmax-setup/SKILL.md — Automated setup skill.
- docs/BUNDLED_SKILLS.md — Complete inventory of all 15 skill families and ~130 tools.
- docs/SIDECAR.md — Runtime bridge protocol.
- examples/ — start_server.py, start_sidecar_bridge.py.
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.
- 9d ago First seen · 169 lines · 2,689 tokens per session scan A a7ede1db6017
dcc-mcp-3dsmax AGENTS.md is an instructions file published in the GitHub repository dcc-mcp/dcc-mcp-3dsmax (4 stars, last pushed yesterday), licensed MIT. It adds 2,689 tokens to every session, about $0.0134 per session on Opus 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.
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vscode buildNext.instructions.md
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vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.