MCP server

Jhtdb

io.github.pipeworx-io/jhtdb

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Johns Hopkins Turbulence Databases (JHTDB) — point queries on reference direct numerical…

Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,098 tokens per request once connected44 tools

https://gateway.pipeworx.io/jhtdb/mcp

At a glance

Type: MCP server
Publisher: pipeworx.io (verified by the MCP Registry)
Status: Working at last check
Tools: 44
Token cost: About 27,098 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http jhtdb https://gateway.pipeworx.io/jhtdb/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.jhtdb]
url = "https://gateway.pipeworx.io/jhtdb/mcp"

Gemini CLI

{"mcpServers":{"jhtdb":{"httpUrl":"https://gateway.pipeworx.io/jhtdb/mcp"}}}

Cursor

{"mcpServers":{"jhtdb":{"url":"https://gateway.pipeworx.io/jhtdb/mcp"}}}

VS Code

{"servers":{"jhtdb":{"type":"http","url":"https://gateway.pipeworx.io/jhtdb/mcp"}}}

Antigravity

agy mcp add jhtdb https://gateway.pipeworx.io/jhtdb/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"jhtdb","server_url":"https://gateway.pipeworx.io/jhtdb/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jhtdb","server_url":"https://gateway.pipeworx.io/jhtdb/mcp"}

jhtdb_datasets ~174 tokens
Catalog of Johns Hopkins Turbulence Databases (JHTDB) datasets available for point queries — forced isotropic turbulence, channel flow, MHD turbulence, transitional boundary layer, atmospheric boundary layer and wind-farm LES, and more. Each entry gives the dataset code to pass to jhtdb_point_query,
jhtdb_point_query ~621 tokens
Interpolated velocity, pressure, or velocity-gradient values at up to 10 points and a single time in a Johns Hopkins Turbulence Databases (JHTDB) reference DNS/LES dataset. Values are returned in the dataset's native simulation units (dimensionless DNS code units for the isotropic/channel/MHD datase

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