SSyncDev

Lmo MCP Server

L-Moments for robust statistics & inference.

Local serverstdioPython

What is the Lmo MCP Server?

L-Moments for robust statistics & inference.

What the server does

[![Lmo - PyPI][IMG-PYPI]][PYPI] [![Lmo - Python versions][IMG-PY]][REPO] [![Lmo - SPEC 0][IMG-SPEC0]][SPEC0] [![Lmo - BSD License][IMG-BSD]][BSD] [![Lmo - CI][IMG-CI]][CI] [![Lmo - ruff][IMG-RUFF]][RUFF] [![Lmo - bassedpyright][IMG-BPR]][BPR]

  • Calculates trimmed L-moments and L-comoments, from samples or any
  • Full support for trimmed L-moments (TL-moments), e.g
  • Generalized Method of L-moments: robust distribution fitting that beats MLE
  • Fast estimation of L-comoment matrices from your multidimensional data
  • Goodness-of-fit test, using L-moment or L-moment ratio's
  • Exact (co)variance structure of the sample- and population L-moments

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Lmo MCP Server

{
  "mcpServers": {
    "lmo": {
      "command": "uvx",
      "args": ["lmo"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • “Use Lmo to Goodness-of.”
  • “Use Lmo to Dependencies.”

Frequently asked questions

L-Moments for robust statistics & inference. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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