Orionbelt Analytics MCP Server
orionbelt-analytics
PyPI
v2.0.3
Published by ralforion — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
OrionBelt Analytics - the Ontology-based MCP server for your Text-2-SQL convenience
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 2
low Shell/command execution in packaging/dev tooling (scripts/gen-third-party-notices.py)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`scripts/gen-third-party-notices.py:325`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ). """ result = subprocess.run( [ "uv", "export", "--frozen",
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server scripts/gen-third-party-notices.py
low Shell/command execution in packaging/dev tooling (tests/test_output_dir_guard.py)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_output_dir_guard.py:75`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ion. """ proc = subprocess.run( [sys.executable, "-c", "import src.paths"], cwd=PROJECT_ROOT,
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server tests/test_output_dir_guard.py
Tools 28
Each tool and what it can reach — statically extracted from the published source.
download_artifactingests untrusted inputexecute_sql_queryreads sensitive dataadd_rdf_knowledgeno sensitive capabilityadd_semantic_contextno sensitive capabilityapply_semantic_namesno sensitive capabilitycleanup_old_versionsno sensitive capabilitycleanup_workspaceno sensitive capabilityconnect_databaseno sensitive capabilitydiscover_schemano sensitive capabilitygenerate_chartno sensitive capability
Show 18 more tools ↓
generate_ontologyno sensitive capabilityget_semantic_modelno sensitive capabilityget_table_detailsno sensitive capabilitygraphrag_find_join_pathno sensitive capabilitygraphrag_query_contextno sensitive capabilitygraphrag_searchno sensitive capabilitylist_schemasno sensitive capabilitylist_semantic_modelsno sensitive capabilityload_my_ontologyno sensitive capabilitymeasurable_fromno sensitive capabilityplan_composite_queryno sensitive capabilityquery_sparqlno sensitive capabilityreachable_fromno sensitive capabilityreset_cacheno sensitive capabilitysample_table_datano sensitive capabilitysave_semantic_modelno sensitive capabilitystore_ontology_in_rdfno sensitive capabilitysuggest_semantic_namesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (28 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 5
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v2.0.3 latest |
A 96/100 | 2 | 1.13.0 | 2026-09-01 |
v2.0.1 |
A 96/100 | 2 | 1.13.0 | 2026-08-30 |
v2.0.0 |
A 96/100 | 1 | 1.13.0 | 2026-08-25 |
v1.8.0 |
A 96/100 | 1 | 1.12.1 | 2026-08-06 |
v1.7.2 |
A 96/100 | 0 | 1.12.1 | 2026-07-27 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan orionbelt-analytics --online --registry pypiMore in Learning & Documentation
stdio compatibility bridge for the hosted AgentMail MCP server
MCP server for Alfa documentation retrieval
MCP server providing Alpine.js documentation and reference
Search the official Astro framework documentation.
MCP server providing ATAG 2.0 (Authoring Tool Accessibility Guidelines) guidance for authoring tool developers
Aurais Research Reader as an MCP server — paste a paper or article, get a structured read with verbatim-verified quotes + a signed Vorion proof chain (via @vorionsys/aurais-core).