thermal-mcp-server: Instructions file for Claude Code

CLAUDE.md

thermal-mcp-server CLAUDE.md is an instructions file for Claude Code from riccardovietri/thermal-mcp-server. It costs 1,826 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on thermal-mcp-server, a Python service that provides liquid-cooling analysis for GPUs. They explain its architecture, physics model, tools, and supported engineering assumptions.

In plain words
What is it for?
Use them when modifying the server, its validation models, thermal calculations, MCP tool wrappers, or public analysis functions.
Why use it?
They tell an agent what the thermal model does and does not represent, helping prevent changes that contradict the project's documented physics.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is riccardovietri/thermal-mcp-server's own configuration. It tells Claude Code how to work on thermal-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything thermal-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to riccardovietri/thermal-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/riccardovietri/thermal-mcp-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/riccardovietri/thermal-mcp-server

Made for: Claude Code.

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Per session 1,826 This file is loaded in full into every session.
When invoked 1,826 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01826 $0.01826
Opus 5 $0.00913 $0.00913
Sonnet 5 $0.00365 $0.00365
Haiku 4.5 $0.00183 $0.00183

Measured 12d ago against content hash 6818f29632e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

thermal-mcp-server CLAUDE.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 12d 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.

CLAUDE.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — thermal-mcp-server

Project context for all coding agents (Claude Code, Codex, etc.). Read before making changes. For durable project decisions, read docs/decisions.md.

What this is

A Python MCP server that exposes thermal physics for liquid-cooled GPU cold plates. Target audience: data center thermal engineers, AI infrastructure teams. Goal: demonstrate physics credibility and AI-callable engineering tooling at H100/B200 scale.

Architecture in 30 seconds

schemas.py          ← Pydantic I/O models, validation, defaults
physics.py          ← All math: 1D resistance network, Dittus-Boelter, Darcy-Weisbach
mcp_server.py       ← FastMCP tool wrappers (thin — no physics here)

Five MCP tools: analyze_coldplate, compare_coolants, optimize_flow_rate, analyze_rack, generate_decision_report. Public Python API: analyze(), analyze_rack(), and optimize_flow() in physics.py.

Physics: what the model does and does not do

Does:

  • Steady-state 1D resistance network: R_jc → R_tim → R_base → R_conv
  • Rectangular channel hydraulic diameter: Dh = 2wh/(w+h)
  • Dittus-Boelter Nu for turbulent, Nu=4.36 for laminar, linear blend 2300–4000
  • Darcy-Weisbach ΔP with Blasius friction, same transition blend
  • Pump power = ΔP × Q / 0.50 (50% efficiency assumption, documented inline)
  • Binary-search flow optimization
  • Rack-level model: N identical GPUs in series or parallel topology (see docs/physics.md Section G)

Does not (known limitations, do not paper over):

  • No manifold/header pressure losses (rack model uses cold plate ΔP only)
  • No heterogeneous GPU racks (all GPUs assumed identical)
  • No transient thermal capacitance
  • No 2D spreading resistance
  • No temperature-dependent fluid properties
  • No flow maldistribution across channels or parallel branches
  • No boiling/two-phase

These are documented in docs/physics.md sections E and G. Do not add hacks to simulate them — add them properly or leave them out.

Physics change protocol

Read the full file on GitHub · 175 lines

Changes

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.

  1. 12d ago First seen · 175 lines · 1,826 tokens per session scan A 6818f29632e7

Subscribe to this mod's changes

thermal-mcp-server CLAUDE.md is an instructions file published in the GitHub repository riccardovietri/thermal-mcp-server (1 stars, last pushed 27d ago), licensed MIT. It adds 1,826 tokens to every session, about $0.0091 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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