Turbulence Modeling Resource
NASA Langley Turbulence Modeling Resource (TMR) — verification and validation cases for…
Que pouvez-vous faire avec Turbulence Modeling Resource ?
tmr_cases(...)— the full case catalog (or one category): id, category,tmr_reference_data(...)— the reference (experimental or correlation)
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
claude mcp add --transport http turbulence-modeling-resource 'https://gateway.pipeworx.io/turbulence-modeling-resource/mcp'
{
"mcpServers": {
"turbulence-modeling-resource": {
"type": "http",
"url": "https://gateway.pipeworx.io/turbulence-modeling-resource/mcp"
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
@pipeworx/turbulence-modeling-resource
Catalog of NASA Langley's standard turbulence-model verification and validation test cases (flat plates, airfoils, jets, a backward-facing step, the wall-mounted hump, shock/boundary-layer interactions, and more), plus reference data for the cases that publish an unambiguous experimental or correlation dataset.
Part of Pipeworx — an MCP gateway connecting AI agents to 1851+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
tmr_cases(...)— the full case catalog (or one category): id, category, flow regime, documented Mach/Reynolds conditions, and whether reference data is available viatmr_reference_data.tmr_reference_data(...)— the reference (experimental or correlation) data for one case, where the case's own page unambiguously labels a file as the reference data rather than one of many turbulence-model CFD results.
Auth
Keyless. US government work — public domain.
Data sources
- NASA Langley Research Center, Turbulence Modeling Resource — the standard set of verification cases (checking that a turbulence model is implemented correctly) and validation cases (checking that it reproduces real flow physics) used across the turbulence-modeling community: flat plates, bumps-in-channel, 2D and 3D airfoils, axisymmetric jets, a backward-facing step, a wall-mounted hump, shock/boundary-layer interactions, a supersonic square duct, the ONERA M6 wing, and a high-Reynolds-number channel flow.
The resource moved from its original NASA-hosted address to a GitHub Pages
site the publisher itself maintains; this pack reads from the current
address. Mach number and Reynolds number in the case catalog are filled in
only where a case's own page states them explicitly — a null means NASA's
page did not give that figure, not that the flow has no such condition.
Case directories hold dozens of files each — one per turbulence model's CFD
result, plus (for some cases) the actual experimental or correlation
reference data the models are checked against, named and linked distinctly
on the case's own page. tmr_reference_data only serves the latter kind,
and only for cases where that distinction is unambiguous from the page
itself; everything else stays unmapped rather than guessed at, which is why
only a handful of cases report reference_data: true today. Every file
follows the same plain-text, Tecplot-style convention: #-prefixed comment
lines, a variables="col1","col2",... header, optional zone, t="label"
sections, then whitespace-separated numeric rows — parsed generically in
src/index.ts rather than per-case.
tmr_reference_data's data_as_of is the upstream file's own Last-Modified
response header — never a date written into the pack at build time, which
would silently go stale. fetched_at is always this call's own timestamp, so
a caller still knows when Pipeworx last asked even on the rare response
without a Last-Modified header. tmr_cases' catalog_transcribed is a
different thing entirely: the case list and conditions are a plain array
transcribed from the publisher's pages at pack-build time, not re-fetched
live on every call, so it is named and dated separately rather than
borrowing data_as_of's meaning.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"turbulence-modeling-resource": {
"url": "https://gateway.pipeworx.io/turbulence-modeling-resource/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/turbulence-modeling-resource/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1851+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/tmr_cases \
-H 'Content-Type: application/json' \
-d '{"category":"validation-basic"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/tmr_cases. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"turbulence-modeling-resource": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-turbulence-modeling-resource"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-turbulence-modeling-resource
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Turbulence Modeling Resource data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Questions fréquentes
Qu'est-ce que Turbulence Modeling Resource ?
NASA Langley Turbulence Modeling Resource (TMR) — verification and validation cases for…
Comment installer Turbulence Modeling Resource ?
Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http turbulence-modeling-resource 'https://gateway.pipeworx.io/turbulence-modeling-resource/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour Turbulence Modeling Resource ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
Turbulence Modeling Resource est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient Turbulence Modeling Resource ?
Il est publié par pipeworx-io. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.