hicar-mcp

hicar-mcp

Provides AI assistants with structured, authoritative knowledge of the HICAR atmospheric model, including namelist options, physics schemes, output variables, documentation, and source code.

Category
Visit Server

README

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-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

License

MIT. HICAR itself is licensed separately; see the HICAR repository.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured