io.github.mizcausevic-dev/mcp-kinetic-gain
NPM · MCP-KINETIC-GAIN · SCANNED AUG 3
Unified MCP server for the 12-spec Kinetic Gain Suite + DefenseTech 6-pack — 75 governance tools.
Available components
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 →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (114 of 118), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (114 of 118), so this covers what we could see, not the whole tree. View diagnostics → Partial
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 (AGPL-3.0).Pass
- Actively maintained (last published 28 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability71
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 5709 tokens (~76/item across 75 items; 75 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage76
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 29% of tool parameters carry a description.Partial
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.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · mcp-kinetic-gain
claude mcp add mizcausevic-dev-mcp-kinetic-gain -- npx -y mcp-kinetic-gain
codex mcp add mizcausevic-dev-mcp-kinetic-gain -- npx -y mcp-kinetic-gain
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mizcausevic-dev-mcp-kinetic-gain": {
"type": "local",
"command": [
"npx",
"-y",
"mcp-kinetic-gain"
],
"enabled": true
}
}
} openclaw mcp add mizcausevic-dev-mcp-kinetic-gain --command npx --arg -y --arg mcp-kinetic-gain
mcp_servers:
mizcausevic-dev-mcp-kinetic-gain:
command: "npx"
args: ["-y", "mcp-kinetic-gain"] {
"mcpServers": {
"mizcausevic-dev-mcp-kinetic-gain": {
"command": "npx",
"args": [
"-y",
"mcp-kinetic-gain"
]
}
}
} 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 Aug 26 +15
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Licence: AGPL-3.0 functional
- 2 Aug 26 +23
- Malware scan: unverified → pass ▲ security
- Schema quality: unverified → good ▲ functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −6
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 43
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 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 114 packages
114 packages in the resolved dependency tree · 114 deprecated · 39 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
disclosure_validate ~62
Validate a Student AI Disclosure JSON document against the v0.1 schema. Enforces conditional rules (ai_used true requires tools/roles/extent/prompt_mode; ai_used false forbids them; prompt mode gates prompts presence).
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | — |
No output schema declared.
No examples provided.
disclosure_verify_artifact_hash ~138
Recompute SHA-256 over a candidate artifact and compare to disclosure.artifact_hash. Pass either `candidate_text` (canonical SHA-256: LF, no trailing newline) for text artifacts, or `candidate_bytes_base64` (raw-bytes SHA-256) for binary artifacts like PDFs / images. Returns ok=true on match, otherwise { error: artifact_hash_mismatch, expected, recomputed }.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_bytes_base64 | string | — | Base64-encoded raw artifact bytes (raw-bytes mode). |
| candidate_text | string | — | Text artifact (canonical-text mode). |
| document_json | string | yes | — |
No output schema declared.
No examples provided.
disclosure_verify_prompt_hash ~93
Verify a single prompt hash in a hashed-mode disclosure. Looks up prompt_id and compares canonical SHA-256 of candidate_text. Returns ok=true on match or { error: prompt_hash_mismatch, expected, recomputed }. Errors with wrong_prompt_mode if prompt_evidence_mode is not 'hashed'.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_text | string | yes | — |
| document_json | string | yes | — |
| prompt_id | string | yes | — |
No output schema declared.
No examples provided.
incident_affected_walk ~67
Walk an Incident Card's `affected` block and return every referenced Suite document as { uri, kind }. Useful as the seed list for incident-correlation-rs or fan-out validation via aeo-validator-service.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
incident_fetch ~34
Fetch an AI Incident Card from a URL. Returns the parsed, schema-validated JSON document.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | — |
No output schema declared.
No examples provided.
incident_index_fetch ~90
HEADLINE TOOL, fetch a vendor's /.well-known/ai-incidents.json index and return a procurement-friendly summary: total count, breakdown by severity, breakdown by status, IDs sorted by disclosed_at descending. The cheapest way for a CISO or procurement reviewer to scan a vendor's incident history.
| Name | Type | Req | Description |
|---|---|---|---|
| origin | string | yes | Vendor origin (e.g. https://edu.kineticgain.com). |
No output schema declared.
No examples provided.
incident_inspect ~78
Structured summary of an AI Incident Card: incident identity (id, title, severity, categories, status, timeline), affected products + versions + Agent/Tutor/Tool Card cross-references, root cause, harm, mitigation, regulatory filings, withdrawal posture, revision metadata.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
incident_remediation_plan ~78
Map each affected URI in an Incident Card to a recommended Action + Urgency. Single-hop preview of what incident-correlation-rs.correlate() would produce: agent/tutor/tool-card -> revalidate; vendor/product -> request_review. Urgency follows severity.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
incident_validate ~92
Validate an AI Incident Card JSON document against the v0.1 schema. Enforces conditional rules: status=resolved requires resolved_at; status=withdrawn requires withdrawal block; non-empty regulatory.reported_to requires non-empty regulatory_filing_uris; root_cause.category=other and categories containing 'other' both require the corresponding _other_text fields.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | Incident Card as inline JSON. |
No output schema declared.
No examples provided.
incident_well_known_url ~62
Compute the canonical AI Incident Card well-known URL: /.well-known/ai-incidents/<id>.json.
| Name | Type | Req | Description |
|---|---|---|---|
| incident_id | string | yes | Convention: INC-<YYYY-MM-DD>-<vendor>-<seq> |
| origin | string | yes | — |
No output schema declared.
No examples provided.
prompt_provenance_eval_result ~49
Extract a single evaluation suite's result from a Prompt Provenance document.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | — |
| suite_name | string | yes | Name of the evaluation suite to extract. |
No output schema declared.
No examples provided.
prompt_provenance_inspect ~40
Structured summary of a Prompt Provenance document: prompt identity, lineage, approval state, evaluation suites.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | — |
No output schema declared.
No examples provided.
prompt_provenance_validate ~61
Validate a Prompt Provenance JSON document against the v0.1 schema. Returns { valid, prompt_id, version } or { valid: false, reason }.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | A Prompt Provenance JSON document as a string. |
No output schema declared.
No examples provided.
suite_doc_detect_spec ~63
Detect which Kinetic Gain Suite spec a JSON document is by sniffing its top-level *_version field. Returns { spec, version_field, version }. Recognises all 12 specs; returns spec='unknown' for anything else.
| Name | Type | Req | Description |
|---|---|---|---|
| body | object | yes | — |
No output schema declared.
No examples provided.
suite_doc_drift ~81
Structural diff between two versions of the same Suite document. Returns { drifted, spec_before, spec_after, spec_changed, content_hash_before, content_hash_after, added_fields, removed_fields, changed_fields }, mirrors the DriftReport shape aeo-validator-service emits for watch rechecks.
| Name | Type | Req | Description |
|---|---|---|---|
| after | object | yes | — |
| before | object | yes | — |
No output schema declared.
No examples provided.
tool_card_inspect ~59
Structured summary of an MCP Tool Card: tool identity, safety profile (side-effect class, PII/secrets exposure, approval requirement), test count, p99 latency.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
tool_card_tested_with ~74
Return the tested-LLM entries for a tool, optionally filtered by a substring match on the LLM identifier.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| llm_filter | string | — | Substring of the LLM identifier to filter by (case-insensitive). Optional. |
| url | string | — | — |
No output schema declared.
No examples provided.
tool_card_validate ~32
Validate an MCP Tool Card JSON document against the v0.1 schema.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | — |
No output schema declared.
No examples provided.
tool_card_well_known_url ~55
Compute the canonical MCP Tool Card well-known URL (convention: /.well-known/mcp-tools/<tool_name>.json).
| Name | Type | Req | Description |
|---|---|---|---|
| mcp_server_origin | string | yes | — |
| tool_name | string | yes | — |
No output schema declared.
No examples provided.
tutor_card_coppa_check ~76
Enforce the spec's COPPA conditional rule: if audience.age_range_min < 13, data_privacy.coppa_compliant MUST be true. Returns { ok: true } or { error: coppa_violation, reason }.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
tutor_card_fetch ~33
Fetch a Tutor Card from a URL. Returns the parsed, schema-validated JSON.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | — |
No output schema declared.
No examples provided.
tutor_card_inspect ~65
Structured summary of a Tutor Card: tutor identity, audience, pedagogy, subject scope counts, safety strength, FERPA/COPPA/GDPR posture, evaluation count, COPPA-rule check.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| url | string | — | — |
No output schema declared.
No examples provided.
tutor_card_subject_check ~79
Classify a topic against the tutor's subject scope. Returns one of: primary, included, excluded, unknown, with the matched term when applicable.
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | — | — |
| query | string | yes | Topic to classify, e.g. 'algebra' or 'differential equations'. |
| url | string | — | — |
No output schema declared.
No examples provided.
tutor_card_validate ~54
Validate an AI Tutor Card JSON document against the v0.1 schema, including the COPPA conditional rule (age_range_min < 13 ⇒ coppa_compliant must be true).
| Name | Type | Req | Description |
|---|---|---|---|
| document_json | string | yes | — |
No output schema declared.
No examples provided.
tutor_card_well_known_url ~53
Compute the canonical AI Tutor Card well-known URL (convention: /.well-known/tutors/<tutor_id>.json).
| Name | Type | Req | Description |
|---|---|---|---|
| origin | string | yes | — |
| tutor_id | string | yes | — |
No output schema declared.
No examples provided.