starccm-javadoc-mcp
Provides tools to search and retrieve Simcenter STAR-CCM+ Java API documentation (Javadoc), enabling AI assistants to find classes, methods, and fields and read their exact signatures and descriptions from the local installation.
Click 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., "@starccm-javadoc-mcpFind the STAR-CCM+ Java API class for managing regions and list its methods"
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.
starccm-javadoc-mcp
A small MCP server that lets an AI assistant search and read the Simcenter STAR-CCM+ Java API documentation (Javadoc) that ships with your own installation, so the macros it writes use real, current API calls instead of invented ones. Two tools, search_api and get_doc, plus the instruments used to measure and reduce what the server costs in tokens.
This repository accompanies two tutorial series published on the Siemens Simcenter community forum. The forum renders client side and is hard to index; this README is the indexable table of contents.
What it does
search_api finds a class, interface, method or field by name in the Javadoc search index and returns the path to its page. get_doc returns that page as plain text: the class description and the Method Summary with exact signatures and any Deprecated tag. The AI asks, reads, then writes. Nothing is recited from memory.
The Javadoc itself is not in this repository and never will be. It is Siemens documentation that ships with STAR-CCM+; the server reads it from a folder on your machine.
Related MCP server: Seta MCP
Requirements
Simcenter STAR-CCM+ with its Javadoc (typically under
<STAR-CCM+ install>\doc\...\client\html). Measured against 2606 Build 21.04.007; the tool reads any modern Javadoc that shipstype-search-index.jsandmember-search-index.js.Node.js 18 or newer.
Claude Code CLI (the server is registered with
claude mcp add). Any MCP client that speaks stdio should work; only Claude Code has been tested.
Setup in five steps
Copy the Javadoc folder to a path without spaces, for example
C:\Users\<your-user>\ccmp\html. Keep the whole folder, including the*-search-index.jsfiles.Clone this repository and install its two dependencies:
npm install.Register the server with Claude Code:
claude mcp add --scope user starccm -- cmd /c node <path-to-repo>\server.mjs <path-to-javadoc>On macOS or Linux drop the
cmd /cwrapper.Check with
claude mcp listthatstarccmshows as connected.In a Claude Code session, ask:
use search_api to find RegionManager, thenuse get_doc on star/common/RegionManager.html.
Step by step, with the Windows pitfalls (the MSIX build of Claude Desktop silently ignores local MCP servers; PowerShell blocks npx.ps1; a cold npx start times out), see Part 2 of the first series below.
Measured cost
All figures were measured on the reference machine (STAR-CCM+ 2606 Build 21.04.007, Node v20.14.0) in August 2026 with the instruments in tools/. The raw custody files live in tok/ and bench/; the aggregated numbers and their provenance are in bench/README.md.
What | Value |
Class pages in the Javadoc | 23,498 |
Extracted text per page, median | 5,587 characters |
Extracted text per page, 99th percentile | 19,854 characters |
Pages above 20,000 characters | 224 (0.95%) before whitespace collapse, 144 after |
Pages above 50,000 characters (the current default cap) | 11 after collapse |
| 201,275 / 29,981 / 7,920 characters |
Cost of grounding one class through | 33,316 characters, 3.8 times |
Effect of whitespace collapse on the benchmark, in tokens | 10 to 12% fewer |
Characters per token, corpus wide, after collapse | 4.996 ( |
The comparison against raw HTML (25 times) that circulated early on measured the server's markup stripping, not its cost, and was withdrawn before publication. The javap ratio is the honest one.
Layout
server.mjs the MCP server: search_api and get_doc
lib/extract.mjs HTML to text extraction used by get_doc and by every instrument
tools/ measurement instruments (token factor, corpus sweep, collapse guards)
sweep-corpus-*.mjs corpus characterisation sweeps, one per criterion revision
tok/ custody files: measured outputs and the acceptance criteria that certify them
bench/ the Part 4 benchmark: plan, per query results, summaries
tools/publish-list.txt the list of files derived from the private working repositoryEvery instrument that publishes a figure checks the STAR-CCM+ version and the Javadoc root before writing, and reproduces its own custody file byte for byte. The acceptance criteria are in tok/esperados-*.md, in Spanish: they are working documents, kept as they were written.
The two tutorial series
Simcenter STAR-CCM+ Macros with AI (6 parts, published). Builds this server and uses it.
Simcenter STAR-CCM+ Agentic Macros (7 parts, in preparation). Adds a compile loop, a batch runner and the token economy work whose "before" numbers are the table above. Each part will land here as a tag.
Tags: series1 marks the tree that corresponds to Part 2 of the first series.
Related
simulation-capsule (same author) is the other half of the idea: this repository teaches a model to write a simulation, that one teaches it to read the results.
A note on AI generated macros
Grounding confirms that every API call is real and current for your version. It does not confirm that a macro does what you meant, that its arguments are right, or that the physics is right. Treat AI output as a draft: review and test it before you rely on it. Use of Siemens documentation and AI tools remains subject to your applicable Siemens terms.
License
BSD-3-Clause. See LICENSE.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
No tool schema history has been recorded yet.
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