About Jhtdb
This MCP server queries point values from Johns Hopkins Turbulence Databases (JHTDB) simulation datasets. It is for fluid-dynamics research and data analysis, and also provides a catalog of dataset domains, grid resolutions, time ranges, and available fields.
Key features
- 01List datasets and grid details
- 02Query velocity or pressure at points
- 03Retrieve velocity gradients
- 04Query up to 10 points per call
- 05Report each dataset’s native units
Use cases
- 01Review the coverage of JHTDB datasets
- 02Retrieve flow values at a chosen time and location
- 03Compare available fields across datasets
MCP support
It exposes `jhtdb_datasets` and `jhtdb_point_query` to MCP clients through the Pipeworx gateway or a local stdio MCP server.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gateway.pipeworx.io/jhtdb/mcpclaude mcp add --transport http pipeworx-io-jhtdb https://gateway.pipeworx.io/jhtdb/mcp{"mcpServers":{"pipeworx-io-jhtdb":{"type":"http","url":"https://gateway.pipeworx.io/jhtdb/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-jhtdb":{"type":"http","url":"https://gateway.pipeworx.io/jhtdb/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-jhtdb":{"type":"http","url":"https://gateway.pipeworx.io/jhtdb/mcp"}}}{"mcpServers":{"pipeworx-io-jhtdb":{"serverUrl":"https://gateway.pipeworx.io/jhtdb/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README@pipeworx/jhtdb
Point queries (velocity, pressure, velocity gradient) on Johns Hopkins Turbulence Databases (JHTDB) reference DNS/LES datasets, plus a catalog of every dataset's spatial domain, grid resolution, time range, and available physical fields.
Part of Pipeworx — an MCP gateway connecting AI agents to 1882+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
jhtdb_datasets(...)— the full catalog of JHTDB datasets (forced isotropic turbulence, channel flow, MHD turbulence, transitional boundary layer, atmospheric boundary layer and wind-farm LES, and more): spatial domain, grid resolution, time range, and available fields for each.jhtdb_point_query(...)— interpolated velocity, pressure, or velocity-gradient values at up to 10 points and one time in a named dataset.
Auth
Keyless from the caller's point of view. This pack uses JHTDB's own public testing authorization token internally (documented by the publisher as valid for small queries), and caps every call at 10 points — well under the publisher's documented small-query allowance — so Pipeworx traffic does not load that shared testing quota. There is no BYO-key override: a full (non-testing) JHTDB token is an institutional request against the publisher and is out of scope for this pack unless demand for larger queries shows up.
Data sources
- Johns Hopkins University (Institute for Data Intensive Engineering and Science), Turbulence Databases (JHTDB) — direct numerical simulation (DNS) and large-eddy simulation (LES) of canonical turbulent flows (forced isotropic turbulence at several grid resolutions, channel flow, MHD turbulence, a homogeneous buoyancy-driven flow, a transitional boundary layer, rotating stratified turbulence, stably stratified atmospheric boundary layers, and wind-farm LES), queryable at arbitrary points and times via the publisher's own web service.
The publisher's query interface is SOAP 1.1, not REST/JSON — there is no
JSON point-query endpoint to fall back to. The SOAP envelope is built and
parsed directly in src/index.ts (regex-based XML matching, consistent with
how this codebase already handles SOAP/XML upstreams with no DOMParser
available in the Workers runtime — see mcps/sdmx-structure).
The dataset catalog (domain extents, grid resolution, time range, available
fields) is transcribed from the publisher's own machine-readable dataset
configuration, not derived by probing the service — it is 17 small records,
not a generated corpus, so it lives as a plain array in src/index.ts rather
than going through the KV baked-index path.
Values are returned in each dataset's native simulation units: dimensionless
DNS code units for the periodic-box datasets (isotropic turbulence, channel
flow, MHD turbulence), physical SI units (meters, seconds, Pascals) for the
atmospheric-boundary-layer and wind-farm LES datasets. jhtdb_point_query's
response states which applies for the field just queried.
Dataset codes, enum values for spatial/temporal interpolation methods, and
which physical fields each dataset carries are all exactly as the publisher's
own API defines them — an interpolation-method typo (e.g. a plausible-looking
FD4NoInt instead of the real None_Fd4) fails loudly with the publisher's
own validation message rather than silently, which is how the correct enum
values here were confirmed.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"jhtdb": {
"url": "https://gateway.pipeworx.io/jhtdb/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/jhtdb/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 1882+ 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/jhtdb_datasets \
-H 'Content-Type: application/json' \
-d '{}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/jhtdb_datasets. 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": {
"jhtdb": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-jhtdb"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-jhtdb
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 Jhtdb data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Comments
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