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  pipeworx-io

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI agents to browse NASA Langley's catalog of turbulence-model verification and validation cases and retrieve the experimental or correlation reference datasets published for those cases. It lets users filter cases by category and inspect documented flow conditions such as Mach and Reynolds numbers.

  Updated a day ago (2026-10-20 04:19 UTC)

  MIT

• UIUC Airfoils

  pipeworx-io

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables searching roughly 1,600 UIUC airfoil coordinate files by name, keyword, or family, and fetching any airfoil's live geometry — point count, format, max thickness and max camber with their chordwise stations, plus optional raw surface coordinates.

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• dataset-mcp

  jayjex

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables querying, filtering, and summarizing datasets from the jayjex Data Vault without downloading files.

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  MIT

• FRED MCP Server

  AdrianGonzalez4947

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables users to browse, search, and retrieve 800,000+ economic time series, including categories, releases, sources, tags, date ranges, frequency aggregation, and data transformations.

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• Federal Reserve Economic Data

  annikaaguilar

  A

  license

  -Not graded

  quality

  A

  maintenance

  Enables users to browse, search, and retrieve over 800,000 economic time series, with support for transformations, frequency aggregation, and date-range filtering.

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• nist-fluid-properties

  pipeworx-io

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables AI agents to look up thermophysical properties — density, viscosity, thermal conductivity, speed of sound, enthalpy, entropy, Cv/Cp and phase — for roughly 76 reference fluids at a given temperature and pressure, or along the liquid/vapor saturation curve, plus fluid listing and name resolution. Each returned value is accompanied by its unit, and out-of-range conditions surface as clear errors.

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  MIT