hicar-mcp
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@hicar-mcplist all namelist options for the microphysics group"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
hicar-mcp
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-mcpThe 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).
Related MCP server: AI Book Agent MCP Server
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 serveTo 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) | — |
|
| source tools report how to enable |
| a compiled | static validation only |
|
| falls back to lexical search |
Higher-quality semantic (live rebuild) |
| 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/HICARLicense
MIT. HICAR itself is licensed separately; see the HICAR repository.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/HICAR-Model/hicar-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server