For agents
Weekend-ready agent grounding
Build agent workflows with reproducible evidence and explicit operational controls.
MCP quickstart
- Provision tenant credentials through request access.
- Configure MCP with environment variables only.
- Run retrieval + citation flows before scaling automation.
MCP config
{
"mcpServers": {
"vaultcrux": {
"command": "vaultcrux-mcp",
"env": {
"VAULTCRUX_API_URL": "https://vaultcrux.com",
"VAULTCRUX_API_KEY": "$VAULTCRUX_API_KEY",
"VAULTCRUX_TENANT_ID": "$VAULTCRUX_TENANT_ID"
}
}
}
}
Tool catalogue
30 MCP tools across five groups. All tools use standard MCP JSON-RPC.
Group A — Knowledge & Memory
- Ingest: shipped.
- Retrieve with citations: shipped.
- Usage Unit visibility: shipped.
query_memory— semantic search across memory records with optional team scope.list_topics— list topics in the knowledge base.get_versioned_snapshot— point-in-time knowledge snapshot.get_audit_trail— change history for a topic.check_claim— verify a claim against stored knowledge with confidence scoring.get_freshness_report— staleness flags per topic.get_contradictions— cross-platform divergence alerts.get_session_context— session continuity payload with journal, stale pins, watch alerts, and credit balance.reconstruct_knowledge_state— temporal reconstruction via CoreCrux — what did the system know at an exact moment?
Group B — Decisions & Causality
get_decision_context— full decision record: what was known, confidence, tool called, outcome.get_causal_chain— navigate the linked graph of decisions that produced an artefact.get_correction_chain— walk the supersession graph — what went wrong and what corrected it.get_decisions_on_stale_context— decisions made on evidence that has since been superseded.record_decision_context— capture a human decision with its full reasoning context.
Group C — Constraints & Verification
declare_constraint— encode senior judgment as a machine-checkable boundary.update_constraint— modify a constraint via append-only supersession.get_constraints— list active constraints, optionally filtered.check_constraints— check whether a proposed action intersects with any active constraints.verify_before_acting— composite pre-flight gate: Shield + Engine + Watch + Constraints → single go/no-go.suggest_constraint— agents propose constraints for human review without overstepping authority.
Group D — Monitoring & Health
get_pressure_status— current pressure level and active signals for an artefact or tenant.get_active_alerts— Watch alerts since a given timestamp, filtered by severity.get_signals_feed— mechanical status updates on knowledge changes.
Group E — Agent Effectiveness
assess_coverage— coverage gap analysis: what don’t I know relative to this task?get_relevant_context— task-scoped context briefing prioritised by risk-if-missed, within a token budget.escalate_with_context— contextual escalation that packages full reasoning state for human review.checkpoint_decision_state— receipted snapshot of active decision state for session resumption.get_platform_capabilities— machine-queryable manifest of available tools, trust tiers, and credit costs.
External proof surfaces
- Decision Chain Proof Pages — public URLs rendering the full causal chain for any receipted decision.
- Cross-platform receipt anchors — portable cryptographic verification beyond the platform boundary.
- Capability discovery —
get_platform_capabilitiesreturns structured service metadata for agent-to-service evaluation.
Modes
- Light: fast iteration.
- Verified: stronger checks for sensitive outputs.
- Audit: highest traceability for high-stakes reviews.

No surprises
Budgets, Usage Units, and explicit failures are surfaced directly so automation can fail safe.

