Hicar

A Model Context Protocol (MCP) server that gives AI assistants structured, authoritative knowledge of the HICAR atmospheric model: every namelist option, the physics-scheme registry, the ~375-variable output catalog, the documentation, and the source code.

Point any MCP client (Claude Desktop, Claude Code, Cursor, …) at it and ask things like "what does the mp option do and what are its valid values?", "which microphysics schemes are supported?", "what units is pressure_i in?", "generate a minimal namelist using Morrison microphysics", or "where is the wind solver iterated?".

Install

pipx install "hicar-mcp[semantic]"      # recommended (isolated, with semantic search)
# or
uv tool install "hicar-mcp[semantic]"
# or, lightweight (no semantic search):
pip install hicar-mcp

The server ships with pre-extracted knowledge bundled in, so it works with zero configuration — you do not need a HICAR checkout or a compiled binary. Optional upgrades light up automatically (see Modes below).

Configure your MCP client

Claude Desktop / Cursor — add to the mcpServers block of the client config:

{
  "mcpServers": {
    "hicar": { "command": "hicar-mcp", "args": ["serve"] }
  }
}

Claude Code:

claude mcp add hicar -- hicar-mcp serve

To enable source-aware tools (code_search, find_symbol, read_source) and always-fresh metadata, point it at a HICAR checkout:

{ "mcpServers": { "hicar": {
    "command": "hicar-mcp", "args": ["serve"],
    "env": { "HICAR_REPO": "/abs/path/to/HICAR" } } } }

Modes & graceful degradation

Feature	Needs	Without it
Namelist / scheme / variable / docs lookup, static validation & generation	nothing (bundled)	—
code_search, find_symbol, read_source, live-fresh metadata	HICAR_REPO set (live mode)	source tools report how to enable
validate_namelist(use_binary=True), --gen-nml parity	a compiled HICAR (HICAR_BINARY or bin/HICAR)	static validation only
semantic_search	hicar-mcp[semantic] (local model, offline after first download)	falls back to lexical search
Higher-quality semantic (live rebuild)	hicar-mcp[api] + VOYAGE_API_KEY/OPENAI_API_KEY	local model

Run hicar-mcp doctor to see exactly what was discovered and what is degraded.

Tools

Namelist: list_namelist_groups, list_namelist_options, get_namelist_option, search_namelist_options, validate_namelist, generate_namelist_tool, explain_namelist. Schemes: list_physics_categories, get_physics_schemes, resolve_physics_scheme. Variables: list_model_variables, get_model_variable, search_model_variables. Examples: list_example_namelists, get_example_namelist, search_example_namelists. Docs: list_docs, get_doc, search_docs. Code: code_search, find_symbol, read_source, semantic_search. Diagnostics: server_status.

Resources (hicar://…) and guided prompts (configure_hicar_run, debug_namelist_error, explain_physics_choice) are also provided.

How the knowledge stays current

The bundled artifacts are regenerated from HICAR source by CI on each HICAR release (a workflow in the HICAR repo dispatches to this one). To regenerate locally:

hicar-mcp regenerate --repo /path/to/HICAR

MCP Registry

Published to the official MCP Registry as io.github.HICAR-Model/hicar-mcp. The line below lets the registry verify that this PyPI package and the registry entry have the same owner; do not remove it.