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Arxyne Solver

PYPI · ARXYNE

Run physics simulations and read their results, from the Arxyne free CLI.

Available components

52 Trust /100

Last scanned (2 hours ago)

Scores higher than 61% of PyPI servers

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security87
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Install-script risk not yet assessed.Unverified
  • 4 of 54 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency6
  • Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
  • Build provenance not yet verified: this release has too many files to check every attestation, so provenance was not assessed. This is a gap on our side, not a finding about the package. View diagnostics → Unverified
  • License check failed: the license (BUSL-1.1) isn't a recognized OSI-approved license. See how to fix → Fail
  • Actively maintained (last published 0 days ago).Pass
  • Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability59
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1772 tokens (~161/item across 11 items; 11 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
  • Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "unregister_solver" implies "remove" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 18 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
    • Stability: unverified → 0.03 ▲ functional
    • Package version: 0.6.0 → 0.6.1 functional
  • 17 Oct 26 37

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 18 Oct 2026 · Analysed pypi/arxyne@0.6.1

Provenance Inconclusive

We could not complete the check, so nothing is claimed either way. This is a gap on our side, not a finding about the package.

Result Inconclusive
Ecosystem pypi
Reason Too many files

Background: How many MCP packages publish verified provenance →

Dependencies 54 packages
Packages resolved 54
Stale 3
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 11 exposed · ~1,772 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_kpi_spec ~25

Return the KPI spec for a solver.

NameTypeReqDescription
solverstringyes–

No output schema declared.

No examples provided.

get_product_results ~237

Return a product's latest KPIs, its targets, and the gate verdict. This is what the CLI prints with ``arxyne results``, as data. An agent reads it to answer "what is the drag now, and did it pass?" without guessing. The values and the verdict come from the same producers the CLI uses (``product.current``, ``product.targets``, ``run_gates``), so an agent and a person read one answer. Returns ``{"product", "kpis": [{"kpi", "name", "units", "value", "target", "benchmark"}], "gates": {"summary", "all_passed", "gates": [{"kpi", "status", "value", "target_min", "target_nominal", "target_max"}]}}``. ``value`` is null for a KPI with no saved result yet. Each gate ``status`` is the CLI's recorded verdict (PASS, FAIL, WARN, INCONCLUSIVE, NOT RUN, SKIPPED), never a value computed here.

NameTypeReqDescription
product_namestringyes–

No output schema declared.

No examples provided.

get_product_targets ~232

Return the design-intent targets a run is gated against. ``get_kpi_spec`` says which KPIs exist and each one's direction. This says what each KPI must reach for one product. Read it before a run to explain a gate verdict, and after one so ``kpi_converged`` (which only says whether a KPI settled) is not mistaken for a target result. The targets are read with the same producer the gate evaluator uses, so what this returns is exactly what a run is judged against. Returns ``{"product", "targets": [{"kpi", "name", "units", "direction", "kind", "min", "nominal", "max", "value"}]}``. ``kind`` is ``"range"`` when the target carries min/max bounds, else ``"single"``. A ``"range"`` target gates by its bounds; a ``"single"`` target gates by its direction (minimize: value <= target). An empty ``targets`` list means none are set.

NameTypeReqDescription
product_namestringyes–

No output schema declared.

No examples provided.

get_solver_inputs ~124

Return the declared inputs for a solver — the ``case_yaml`` contract. ``simulate`` takes ``case_yaml``, a flat ``key: value`` document. This tool returns the keys that document may hold, each with ``type``, ``default``, ``path``, ``min``/``max`` and ``description``. Inputs are declared per product, so pass ``product`` for that product's exact set; omit it for the union across the solver's products.

NameTypeReqDescription
productstring––
solverstringyes–

No output schema declared.

No examples provided.

import_twin_state ~316

Apply a peer's exported twin state to this product's twin. MERGED, never replaces. THE import path (the twin/USDA channel). A host converges to hold what its peers hold: each peer's daemon EXPORTS its own twin, and the host APPLIES it here. The session RELAY carries live CLI calls and is a different channel - an import is not a relay and does not use one. One writer (this server) applies everything, so the CLI stays the only twin writer. ``bundle`` is ``{"layers": {name: usda_text}, "history": [raw_line, ...]}``: * each layer text is written under ``layers/imported/<name>.usda`` and added as a WEAKEST sublayer - OpenUSD composes strongest-first, so a value this host already holds wins and a value only the peer holds is gained. Nothing the host held is lost; the twin is only ADDED TO (import_layer_weaker). * each history line is appended, deduped by run pin / timestamp, so two peers running the same product + solver both survive as two runs (import_history_entries). Refuses when the product's twin does not exist: import requires a twin to import INTO (the same rule as a results write - the caller creates the twin first if the name is held).

NameTypeReqDescription
bundleobjectyes–
product_namestringyes–

No output schema declared.

No examples provided.

list_products ~105

List the products here: what a ``simulate`` can target, and what can yet be created. Returns ``{"products": [{"product", "description", "solvers", "held"}]}``. ``held`` is true when this machine already has the product's twin (so ``simulate`` can run it now); false when a solver image declares the product but it has not been scaffolded yet. ``solvers`` lists the aliases that can serve it.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_solvers ~137

List what can run here: every domain, its solvers, and what each can do. A caller that has never used the CLI starts here. Returns ``{"domains": [{"domain", "status", "kpis", "default_solver", "solvers": [...]}]}``. Each solver carries ``alias``, ``name``, ``kind``, ``gpu``, ``differentiable``, ``tier``, ``version``, ``image``, ``products`` and ``availability`` (``"available"`` everywhere the image is readable on this box, else ``"not present"``).

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

register_solver ~52

Register an external solver from a Docker image. 🚨 SINGLE REGISTRATION PATH. All solver registration routes through this MCP tool — CLI, onboarding, everything.

NameTypeReqDescription
alias–––
imagestringyes–

No output schema declared.

No examples provided.

save_results ~349

Save simulation results to the product's USD twin (prototype or benchmark layer). Args: save_target: "prototype" (default, results layer), "benchmark", or "design_intent" (targets only) parameters: ``{param_name: {value, default, path, override}}`` — overridden params get recorded in resultsHistory as ``override_<name>=<value>`` entries. only_missing_targets: with save_target="design_intent", skip KPIs that already have a target in that layer (idempotent population — existing targets are never overwritten). converged: False → the run's KPIs are not written to the prototype ``arxyne:current:*`` attrs (P1 — unconverged runs must not overwrite the last good result). The run is still fully traced in resultsHistory + the per-run record. tag_baseline: when True (and save_target="prototype"), append a baseline-promotion entry to the prototype layer. All USD writes happen here in the MCP server — the CLI never touches USD directly.

NameTypeReqDescription
assumptions–––
convergedboolean––
domainstringyes–
extra_meta–––
gates–––
kpisobjectyes–
only_missing_targetsboolean––
parameters–––
product_namestringyes–
product_params–––
provenance–––
run_idstring––
save_targetstring––
solverstring––
tag_baselineboolean––

No output schema declared.

No examples provided.

simulate ~163

Dispatch a simulation for any domain. Single entry point. Args: case_yaml: the flat input contract, built by the platform. geometry: optional ``{input_key: {filename, content_b64}}`` — geometry supplied as BYTES rather than as a path, so the caller need not share a filesystem with the MCP server and the MCP server need not share one with the container. Staged under ``/case/geometry/`` and referenced from case.yaml by its in-case path.

NameTypeReqDescription
attribution–––
case_yamlstring––
domainstringyes–
geometry–––
nprocs–––
product_namestringyes–
solverstring––

No output schema declared.

No examples provided.

unregister_solver ~32

Remove a user-added solver from the registry. Built-in solvers cannot be removed.

NameTypeReqDescription
aliasstringyes–

No output schema declared.

No examples provided.

Install

How do I install the Arxyne Solver MCP server?

Arxyne Solver runs locally as a PyPI package, launched with uvx arxyne. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · arxyne

# add to Claude Code
claude mcp add com-arxyne-solver -- uvx arxyne
Common questions

What is the Arxyne Solver MCP server?

Arxyne Solver is an MCP server listed in the public MCP registry as com.arxyne/solver. Run physics simulations and read their results, from the Arxyne free CLI. This page covers its PyPI package (arxyne).

Is the Arxyne Solver MCP server safe to use?

Arxyne Solver scores 52 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 18 October 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Arxyne Solver MCP server expose?

Arxyne Solver exposes 11 tools: list_solvers, list_products, get_kpi_spec, get_solver_inputs, get_product_targets, and 6 more. Their descriptions and schemas cost roughly 1,772 tokens of context every time the server is loaded.

Is the Arxyne Solver MCP server still maintained?

Arxyne Solver is still listed as active in the MCP registry. We last reached this channel on 18 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Arxyne Solver MCP server under?

Arxyne Solver declares the BUSL-1.1 licence, which is not on the OSI-approved list. Read the terms before using it at work, and note this covers the source only, not the cost of any service it calls.