io.github.CloudCorpRecords/scicompute
OCI · GHCR.IO/CLOUDCORPRECORDS/SCICOMPUTE · 2 COMPONENTS
Scientific computation: named tensors, matrix algebra and vector operations, fully local.
Available components
Last scanned (9 hours ago)
Scores higher than 42% of OCI servers
Category Health and Science
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 Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 2 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability74
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 706 tokens (~50/item across 14 items; 14 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management10
- Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
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; "delete_tensor" implies "delete" 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 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
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.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Nov 26 39
First indexed and scored.
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 5 Nov 2026 · Analysed oci/ghcr.io/cloudcorprecords/scicompute@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | oci |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
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 →
add_matrices ~61
Add two stored matrices element-wise and return the result matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the first stored matrix. |
| b | string | yes | Name of the second stored matrix. |
| result | string | – | Name to store the result matrix under. |
No output schema declared.
No examples provided.
create_tensor ~83
Create a named tensor in the store from a shape and a flat row-major values list.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name to store the new tensor under. |
| shape | array | yes | Tensor dimensions, as a non-empty list of positive integers. |
| values | array | yes | Flat row-major list of finite numbers, with length equal to the product of the shape dimensions. |
No output schema declared.
No examples provided.
delete_tensor ~31
Delete a named tensor from the tensor store.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored tensor to delete. |
No output schema declared.
No examples provided.
determinant ~29
Compute the determinant of a stored square matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored square matrix. |
No output schema declared.
No examples provided.
matrix_inverse ~49
Compute the inverse of a stored square matrix and return it.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored square matrix to invert. |
| result | string | – | Name to store the result matrix under. |
No output schema declared.
No examples provided.
multiply_matrices ~59
Multiply two stored matrices and return the product matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the first stored matrix. |
| b | string | yes | Name of the second stored matrix. |
| result | string | – | Name to store the result matrix under. |
No output schema declared.
No examples provided.
rank ~27
Compute the rank of a stored matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored matrix. |
No output schema declared.
No examples provided.
scale_matrix ~73
Scale a stored matrix by a numeric factor, in place by default.
| Name | Type | Req | Description |
|---|---|---|---|
| factor | number | yes | Finite numeric factor to multiply each matrix element by. |
| in_place | boolean | – | Whether to overwrite the stored matrix in place; defaults to true. |
| name | string | yes | Name of the stored matrix to scale. |
No output schema declared.
No examples provided.
subtract_matrices ~69
Subtract the second stored matrix from the first element-wise and return the result matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the stored matrix to subtract from. |
| b | string | yes | Name of the stored matrix to subtract. |
| result | string | – | Name to store the result matrix under. |
No output schema declared.
No examples provided.
transpose ~47
Transpose a stored matrix and return the transposed matrix.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored matrix to transpose. |
| result | string | – | Name to store the result matrix under. |
No output schema declared.
No examples provided.
vector_cross_product ~51
Compute the cross product of two stored 3-vectors.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the first stored 3-vector. |
| b | string | yes | Name of the second stored 3-vector. |
No output schema declared.
No examples provided.
vector_dot_product ~44
Compute the dot product of two stored vectors.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the first stored vector. |
| b | string | yes | Name of the second stored vector. |
No output schema declared.
No examples provided.
vector_project ~51
Project stored vector a onto stored vector b and return the projection vector.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | Name of the stored vector to project. |
| b | string | yes | Name of the stored vector to project onto. |
No output schema declared.
No examples provided.
view_tensor ~32
View a named tensor stored in the tensor store.
| Name | Type | Req | Description |
|---|---|---|---|
| name | string | yes | Name of the stored tensor to view. |
No output schema declared.
No examples provided.
How do I install the io.github.CloudCorpRecords/scicompute MCP server?
io.github.CloudCorpRecords/scicompute runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/scicompute:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.
oci · ghcr.io/cloudcorprecords/scicompute
claude mcp add cloudcorprecords-scicompute -- docker run --rm -i ghcr.io/cloudcorprecords/scicompute:0.1.0
What is the io.github.CloudCorpRecords/scicompute MCP server?
io.github.CloudCorpRecords/scicompute is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/scicompute. Scientific computation: named tensors, matrix algebra and vector operations, fully local. This page covers its container image (ghcr.io/cloudcorprecords/scicompute).
Is the io.github.CloudCorpRecords/scicompute MCP server safe to use?
io.github.CloudCorpRecords/scicompute scores 40 out of 100 on VerifyMCP. 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 io.github.CloudCorpRecords/scicompute MCP server expose?
io.github.CloudCorpRecords/scicompute exposes 14 tools: create_tensor, view_tensor, delete_tensor, add_matrices, subtract_matrices, and 9 more. Their descriptions and schemas cost roughly 706 tokens of context every time the server is loaded.
Is the io.github.CloudCorpRecords/scicompute MCP server still maintained?
io.github.CloudCorpRecords/scicompute is still listed as active in the MCP registry. We last reached this channel on 5 November 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 io.github.CloudCorpRecords/scicompute MCP server under?
io.github.CloudCorpRecords/scicompute declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.