Pack local or remote codebases into AI-friendly files that LLMs and coding agents can read or search
Nothing to run from here
Orionbelt Semantic Layer is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
99/100
trust score
30
tools declared
local
runs on your machine
—
calls last 7d
What it does
Thin MCP server for OrionBelt Semantic Layer — delegates to REST API
Quickstart
This one is not published to a package registry, so there is no one-line install: it is built and started the way its own source says.
Publishernot claimed
RAAll 1 server
ralforion1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Orionbelt Semantic Layer as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
This one is not published to a package registry, so there is no one-line install: it is built and started the way its own source says.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
No parameter schema on file.
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No parameter schema on file.
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Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under Apache-2.0
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Orionbelt Semantic Layer or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 99 / 100
Release 2.25.0 · scanned 14 Oct 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digest7493c1f05379a631859f34b2669cd7775e06e62024cfbc0983d6569b4746dcd2
Score vectorthreat 100 → client 99
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (30 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>".
1 of the 30 recovered tools are registered only when _single_model_mode holds (server.py:3398) — typically when a key or option is configured. They are part of the server's surface and were analysed; the other branch of the same condition registers the rest.
5 of the 30 recovered tools are registered only when _single_model_mode is false (server.py:3398) — typically when a key or option is configured. They are part of the server's surface and were analysed; the other branch of the same condition registers the rest.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
24 tools are registered unconditionally · (1) 1 more only when _single_model_mode holds (server.py:3398) · (2) 5 more only when _single_model_mode is false (server.py:3398) — typically when a key or option is configured. All 30 are in the table below and were analysed; the conditional ones are marked.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| get_obml_reference | no tags | |
| get_function_catalog | no tags | |
| get_json_schema | no tags | |
| list_dialects | no tags | |
| describe_model | no tags | |
| get_model_diagram | no tags | |
| get_join_graph | no tags | |
| find_composables | no tags | |
| get_model_graph | no tags | |
| query_model_graph_by_sparql | no tags | |
| find_artefacts | no tags | |
| explain_artefact | no tags | |
| get_lineage | no tags | |
| list_examples | no tags | |
| get_example | no tags | |
| list_rules | no tags | |
| explain_rule | no tags | |
| evaluate_rule | no tags | |
| evaluate_rules | no tags | |
| find_concept_mappings | no tags | |
| list_concept_namespaces | no tags | |
| list_unmapped_artefacts | no tags | |
| execute_query | no tags | |
| validate_model | no tags | |
| get_model conditional (1) | no tags | |
| load_model conditional (2) | no tags | |
| remove_model conditional (2) | no tags | |
| list_models conditional (2) | no tags | |
| export_model_to_osi conditional (2) | no tags | |
| run_batch conditional (2) | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest7493c1f05379a631
Scanned2026-10-14
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
It installs from its repository rather than from a versioned package, so the command cannot be pinned to a release. The history below is for reading; the current release on file is 2.25.0.
2.25.0
undated
latestNo release note was published with this version.
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no reviews yet
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