io.github.farssaadeldin7-ux/generative-digital-twin
MCPB · GENERATIVE-DIGITAL-TWIN.MCPB
Build a governed style profile from your own past work so a generative apprentice produces...
Available components
Last scanned (18 hours ago)
Scores higher than 73% of MCPB servers
Category Design and Media
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: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: we found no dependency list to check in this bundle: either it runs a compiled binary, whose bundled manifests we do not read, or none of the package.json, requirements.txt, pyproject.toml or uv.lock files it ships for its runtime declares a dependency we can read (a requirements.txt that only points at a setup.py project, a local path, or a nested requirements file we cannot follow counts as none).Unverified
Provenance & Transparency32
- 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
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 14 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability82
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1703 tokens (~113/item across 15 items; 15 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 Management47
- Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage96
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 89% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 15 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
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.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Oct 26 +3
- Stability: unverified → 0.27 ▲ functional
- 21 Oct 26 36
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 4 Nov 2026 · Analysed mcpb/https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/generative-digital-twin.mcpb@0.1.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | mcpb |
| 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 →
apprentice_brief ~136
Compile a stored style profile into a governed work order for an apprentice task — repetitive execution, alternative variations of a current project, or background fill. The profile's never list becomes the hard constraints, its anchors the exemplars, its dimension entries the measurable requirements, all quoted verbatim, plus the standing rule that the output is scored with apprentice_check before delivery. It compiles the order; producing the work is the apprentice's job in the skill, and nothing in the order is invented. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| profile_id | string | yes | The stored profile to compile the work order from. |
| task | object | yes | – |
No output schema declared.
No examples provided.
apprentice_check ~176
The delivery gate for apprentice output: run the score_draft arithmetic against the same stored profile the work order was compiled from, and return pass or fail per the profile's hard-fail and band rules, with the weakest dimensions named. A never-list breach or a weighted mean under 2.8 does not clear the gate, and output that does not clear it is not delivered. Weights default to the profile's own dimension weights, and a 0 must quote the profile's never entry verbatim. Assigning the 0-4 scores is still the reviewer's judgement — this only does the arithmetic and reads the verdict. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| profile_id | string | yes | The stored profile the apprentice was briefed from. |
| scores | array | yes | One entry per profile dimension, scored against the apprentice's output. |
No output schema declared.
No examples provided.
billing_portal ~31
Open the Stripe billing portal to change plan, update the card, or cancel the Generative Digital Twin subscription.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
corpus_check ~96
Mechanical checks on a labelled corpus list: size band, schema violations, missing near-miss notes, heavy-constraint pieces without a "contributes" list, date spread, duplicates. Facts with the rule each is counted against — it does not read the work, and it cannot verify ownership. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| pieces | array | yes | The labelled corpus, one object per piece using the labelling schema from curation_rules. |
No output schema declared.
No examples provided.
curation_rules ~83
The corpus curation rules: size bands and what happens outside them, inclusion and exclusion rules, the brand-guidelines test, the labelling schema, the rights checklist, and a worked 20-piece curation with what was excluded and why. Reference data only.
| Name | Type | Req | Description |
|---|---|---|---|
| include_worked_example | boolean | – | Include the full worked 20-piece example. Default false. |
No output schema declared.
No examples provided.
drift_audit ~132
The re-audit comparison: per-dimension sample means against the recorded baseline, flagged by the two stated thresholds (mean fallen 1.0 or more; 40% or more of samples at 2 or below), plus never-breach counting and the diagnosis table. Scoring the samples is the reviewer's job first — this only compares. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| dimensions | array | yes | – |
| never_breaches | array | – | Optional: never-list breaches found in the sample. |
| profile_id | string | – | Optional: a stored profile whose baseline supplies baseline_mean where not given inline. |
No output schema declared.
No examples provided.
get_profile ~55
Read a stored style profile and the countable facts about it, or list the profiles in the local store when no id is given. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| profile_id | string | – | Omit to list all stored profiles. |
No output schema declared.
No examples provided.
governance_reference ~89
The scoring and governance reference: the 0-4 scale, the hard-fail rule, how to read the weighted mean, the baseline rule, the re-audit protocol with its flag thresholds, the drift diagnosis table, the profile document structure, the never-list and preamble targets, and the disclosure and governance checklists. Reference data only; score_draft and drift_audit apply the arithmetic.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
license_activate ~68
Store and activate a Generative Digital Twin licence key on this machine. Use when the user pastes a licence key, or after a purchase completes.
| Name | Type | Req | Description |
|---|---|---|---|
| license_key | string | yes | The licence key, e.g. PS-XXX-00000-00000-00000-0000 |
No output schema declared.
No examples provided.
license_status ~51
Check the Generative Digital Twin licence on this machine: plan, included capabilities, remaining quota and seat usage. Call this when a paid tool reports a licence problem, or when the user asks what their plan includes.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_plans ~25
List the available Generative Digital Twin plans, prices and what each one includes.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
save_profile ~349
Create or update a style profile in the local store: scope, never list, dimensions, anchors, boundary, provenance, baseline means and preamble, with a version and an automatic dated changelog. Returns the countable facts about it — never-list and anchor counts against target, entries with no number or prohibition, preamble word budget and any never entries missing verbatim from it. Facts, not verdicts. Requires a paid plan; the licence check is the only thing this tool sends anywhere.
| Name | Type | Req | Description |
|---|---|---|---|
| anchors | array | – | The three to five pieces that best represent the profile. |
| baseline | object | – | Per-dimension baseline means from scoring three corpus pieces, e.g. {"palette_discipline": 3.7}. |
| boundary | array | – | The near-misses, each with a sentence on what is wrong. |
| change_note | string | – | One line for the changelog on what changed and why. |
| dimensions | array | – | – |
| name | string | – | Whose profile this is, e.g. a studio or director name. |
| never_list | array | – | Imperative prohibitions with observable triggers. Target 12-20. |
| preamble | string | – | The derived prompt preamble, 300-600 words, never list first and verbatim. |
| profile_id | string | – | Omit to create; supply to update. Fields not supplied are kept. |
| provenance | object | – | Corpus size, date range, ownership confirmed, date built. |
| scope | string | – | Which media and which briefs the profile covers, and the agreed disclosure position. |
| version | string | yes | Required — a profile without a version cannot be audited for drift. |
No output schema declared.
No examples provided.
score_draft ~91
The arithmetic of the scoring pass, on per-dimension scores already assigned by the reviewer: weighted mean, the reading band, the two weakest dimensions, and the hard-fail rule — any 0 is a reject reported before the mean, never averaged away. It does not look at the draft and assigns no scores itself. Requires a paid plan.
| Name | Type | Req | Description |
|---|---|---|---|
| scores | array | yes | One entry per profile dimension. |
No output schema declared.
No examples provided.
start_checkout ~75
Begin a Generative Digital Twin purchase. Returns a Stripe Checkout link. Call list_plans first if the user has not chosen a plan.
| Name | Type | Req | Description |
|---|---|---|---|
| string | – | Email address for the receipt and licence. | |
| plan | string | yes | Plan id: "pro" or "team". Use list_plans to see the options. |
No output schema declared.
No examples provided.
style_dimensions ~92
The style dimension taxonomy: what to measure, how to extract it from a corpus, and what a checkable entry looks like, for visual, written and motion work — plus extraction order, weighting method and the dimensions that usually turn out to be brief-driven. Reference data only; it extracts nothing.
| Name | Type | Req | Description |
|---|---|---|---|
| medium | string | – | Optional: "visual", "written" or "motion". Omit for all three. |
No output schema declared.
No examples provided.
How do I install the io.github.farssaadeldin7-ux/generative-digital-twin MCP server?
io.github.farssaadeldin7-ux/generative-digital-twin ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525; the commands to do that are on this page. If it does not match, do not open it.
mcpb · generative-digital-twin.mcpb
Download bundleCheck the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.
SHA-256
96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525
macOS / Linux
echo "96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525 generative-digital-twin.mcpb" | shasum -a 256 -c
Windows (PowerShell)
(Get-FileHash -Algorithm SHA256 .\generative-digital-twin.mcpb).Hash -eq "96e6c7569eb23e88a6e5e27855a1018ca4ec273c0cda7ac2e600cacd2a217525"
Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.
What is the io.github.farssaadeldin7-ux/generative-digital-twin MCP server?
io.github.farssaadeldin7-ux/generative-digital-twin is an MCP server listed in the public MCP registry as io.github.farssaadeldin7-ux/generative-digital-twin. Build a governed style profile from your own past work so a generative apprentice produces... This page covers its MCPB bundle (https://github.com/farssaadeldin7-ux/claude-plugin-suite/releases/download/mcpb-v0.1.3/generative-digital-twin.mcpb).
Is the io.github.farssaadeldin7-ux/generative-digital-twin MCP server safe to use?
io.github.farssaadeldin7-ux/generative-digital-twin scores 42 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.farssaadeldin7-ux/generative-digital-twin MCP server expose?
io.github.farssaadeldin7-ux/generative-digital-twin exposes 15 tools: style_dimensions, curation_rules, governance_reference, corpus_check, score_draft, and 10 more. Their descriptions and schemas cost roughly 1,549 tokens of context every time the server is loaded.