Vector Decisions MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vector Decisions MCP ServerAssess the deployment risk for our new autonomous agent."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vector Decisions MCP Server
MCP-native governance and action-assurance primitives for autonomous AI.
Tools
gatri_trust_score— legacy composite trust scoring.assure_action— evidence-backed, context-aware assurance for one agent action.decide_action— converts GATRI assurance + policy + permissions + context intoALLOW,RESTRICT,REQUIRE_HUMAN, orDENY.risk_assessment— deployment risk assessment.compliance_check— EU AI Act-oriented policy check.kill_switch— emergency stop directive.
Related MCP server: DingDawg Governance
Core model
agent × action × context × evidence
↓
GATRI
↓
Vector Decisions
↓
ALLOW / RESTRICT /
REQUIRE_HUMAN / DENYThe important primitive is action assurance, not a generic claim that an agent is safe. The same agent can be acceptable for one action and unacceptable for another.
Local development
npm install
npm run build
npm startThe server uses stdio transport and is intended to be consumed by MCP-compatible clients.
Status
Version 1.1.0. This is a protocol-oriented V0: deterministic local evaluation first; evidence ingestion, persistent assurance records, policy registries, signed attestations and remote APIs are subsequent layers.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- FlicenseAqualityFmaintenanceProvides policy-based access control, incident tracking, and compliance monitoring to govern AI agent behavior. It enables organizations to enforce security rules and maintain audit trails by validating agent actions against trust levels and pattern-based policies.61

DingDawg Governanceofficial
AlicenseNot gradedqualityBmaintenanceFail-closed AI agent governance — approve or block agent actions in real time, score compliance risk, and generate tamper-evident receipts. Free tier: 10 governed actions/day. Upgrade for unlimited + Ed25519-signed audit receipts.1MIT
Vaikora Guard MCPofficial
AlicenseNot gradedqualityCmaintenanceEnforces deterministic policies on AI agent tool calls, evaluating actions against compliance modules (SOC 2, HIPAA, GDPR, etc.) and returning ALLOW, BLOCK, or CONSTRAIN decisions with an audit trail.MIT- AlicenseAqualityDmaintenanceCompliance and guardrails infrastructure for AI agents, enabling safe operations within regulatory boundaries like GDPR and EU AI Act.6MIT
Related MCP Connectors
Pre-action allow/deny for AI agents. 24 statutes, 13 jurisdictions: EU AI Act, GDPR, DPDP.
Runtime AI governance: decision gates, human approval, hash-chained audit, compliance mapping.
Runtime permission, approval, and audit layer for AI agent tool execution.
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