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io.github.NikitaDatar/vectordecisions-mcp-server

NPM · VECTORDECISIONS-MCP-SERVER · SCANNED AUG 3

AI Governance MCP Server - GATRI trust scoring, kill-switch, EU AI Act compliance for Claude

+43 this week 67 Trust /100
Trust breakdown (6 categories)

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 (95 of 99), 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 (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability63
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 431 tokens (~107/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

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 · vectordecisions-mcp-server

# add to Claude Code
claude mcp add nikitadatar-vectordecisions-mcp-server -- npx -y vectordecisions-mcp-server
# add to Codex CLI
codex mcp add nikitadatar-vectordecisions-mcp-server -- npx -y vectordecisions-mcp-server
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "nikitadatar-vectordecisions-mcp-server": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "vectordecisions-mcp-server"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add nikitadatar-vectordecisions-mcp-server --command npx --arg -y --arg vectordecisions-mcp-server
# ~/.hermes/config.yaml
mcp_servers:
  nikitadatar-vectordecisions-mcp-server:
    command: "npx"
    args: ["-y", "vectordecisions-mcp-server"]
// mcp.json
{
  "mcpServers": {
    "nikitadatar-vectordecisions-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "vectordecisions-mcp-server"
      ]
    }
  }
}
Changelog

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 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Aug 26 +61
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Security disclosure: fail → unverified functional
    • Tool coverage: unverified → 100 functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Schema quality: unverified → good functional
    • Licence: MIT functional
  • 31 Jul 26 −41
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 28 Jul 26 +22
    • Tool coverage: unverified → 100 functional
    • First check of Schema quality: fail functional
    • First check of Schema quality: pass functional
    • First check of Schema quality: unverified functional
    • First check of Tool coverage: 100 functional
  • 27 Jul 26 24

    First indexed and scored.

Diagnostics

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 95 packages

95 packages in the resolved dependency tree · 95 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 4 exposed · ~431 tokens

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.

Tool Tokens
compliance_check ~137

EU AI Act compliance check. Evaluates an AI system against EU AI Act requirements.

NameTypeReqDescription
categorystringyesEU AI Act risk category
dataGovernancebooleanyesWhether data governance measures are implemented
hasAccuracyMetricsbooleanyesWhether accuracy and robustness metrics are tracked
hasDocumentationbooleanyesWhether technical documentation exists
hasHumanOversightbooleanyesWhether human oversight is implemented
hasRiskManagementbooleanyesWhether risk management system is in place
hasTransparencybooleanyesWhether transparency obligations are met
systemNamestringyesName of the AI system

No output schema declared.

No examples provided.

gatri_trust_score ~120

Compute GATRI trust score for an AI agent. Evaluates Governance, Accountability, Transparency, Robustness, and Inclusivity.

NameTypeReqDescription
accountabilitynumberyesAccountability score (0-100)
agentNamestringyesName of the AI agent to evaluate
governancenumberyesGovernance score (0-100)
inclusivitynumberyesInclusivity score (0-100)
robustnessnumberyesRobustness score (0-100)
transparencynumberyesTransparency score (0-100)

No output schema declared.

No examples provided.

kill_switch ~72

Emergency halt for an AI agent. Issues a kill-switch directive to immediately stop agent operations.

NameTypeReqDescription
agentNamestringyesName of the AI agent to halt
reasonstringyesReason for triggering kill switch
scopestringScope of shutdown
severitystringyesSeverity level

No output schema declared.

No examples provided.

risk_assessment ~102

Comprehensive risk assessment for an AI agent deployment.

NameTypeReqDescription
agentNamestringyesName of the AI agent
complianceRisknumberyesCompliance risk score (0-100)
deploymentContextstringyesContext of deployment
ethicalRisknumberyesEthical risk score (0-100)
operationalRisknumberyesOperational risk score (0-100)
securityRisknumberyesSecurity risk score (0-100)

No output schema declared.

No examples provided.