Borrowing it
Nothing to install: this file belongs to dcc-mcp/dcc-mcp-houdini. 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-houdini/main/GEMINI.mdgit clone --depth 1 https://github.com/dcc-mcp/dcc-mcp-houdiniWrote 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-houdini/gemini-md)<a href="https://agentmods.dev/instructions/dcc-mcp/dcc-mcp-houdini/gemini-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-houdini/gemini-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-houdini/gemini-md"><img src="https://agentmods.dev/badge/instructions/dcc-mcp/dcc-mcp-houdini/gemini-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 | $0.00416 | $0.00416 |
| Opus 5 | $0.00208 | $0.00208 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
dcc-mcp-houdini GEMINI.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.
What it actually says
GEMINI.md — Google Gemini / Vertex AI Integration Guide
Gemini-specific integration notes for
dcc-mcp-houdini. For the full project map, see AGENTS.md.
What This Project Does
dcc-mcp-houdini embeds an MCP Streamable HTTP server directly inside SideFX Houdini. Gemini (via an MCP-compatible client or custom integration) can discover and invoke 180+ Houdini tools across 30 skill packages over HTTP.
Integration Setup
If your Gemini client supports MCP over HTTP, configure:
Gateway endpoint: http://127.0.0.1:9765/mcp
Protocol: MCP Streamable HTTP (2025-03-26 spec)
For multi-instance gateway mode:
Endpoint: http://127.0.0.1:9765/mcp
Gemini-Specific Tips
- Code-first workflows: Gemini excels at generating structured Houdini networks. Ask it to build complete SOP chains with
houdini_nodes__create_node→connect_nodes→cook_node. - Lookdev & materials: Gemini's structured output handling makes it ideal for
houdini-lookdevchains — set material parameters, save/load presets. - Viewport capture: Feed
capture_viewportbase64 PNGs back to Gemini for visual state verification. - Pipeline automation: Use
houdini-pipelineskills for shot packaging and scene validation workflows.
Quick Test Prompts
"Create a camera and a three-point lighting setup" "List all materials in the scene and export their presets" "Import an alembic cache from /path/to/file.abc" "Validate the scene and collect all dependencies"
See Also
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 · 53 lines · 416 tokens per session scan A e9ba0d9483eb
dcc-mcp-houdini GEMINI.md is an instructions file published in the GitHub repository dcc-mcp/dcc-mcp-houdini (12 stars, last pushed yesterday), licensed MIT. It adds 416 tokens to every session, about $0.0021 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 2026-08-30.
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