GIA Governance
AI workforce governance control plane.
От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение
Что умеет
- Classify Decision: Classify an AI agent decision using the MAI Framework (Mandatory/Advisory/Informational). Returns classification level, confidence score, gate requirements, and rationale.
- Evaluate Threshold: Compute the Storey Threshold — escalation rate (gates required / total operations). Returns current rate, status, and recommendations. Healthy band 10-18% is a design heuristic, no
- Score Governance: Compute weighted governance score from caller-provided Integrity, Accuracy, and Compliance values (0-1). Returns weighted composite and pass/fail against configured thresholds. Score
Какие данные видит
Нужен ли аккаунт
Не нужен: сервер работает без входа
AI workforce governance control plane. 29 governed MCP tools for decision classification (MAI framework), compliance scoring, audit chain verification, risk assessment, and multi-vendor AI governance. Built for enterprise AI compliance including NIST 800-53, CMMC 2.0, EU AI Act, and SOC 2. Every AI action is classified, audited, and governed through one contract.
Список инструментов сервера (29)
Технические названия из tools/list. Нужны только разработчикам.
| classify_decision | Classify an AI agent decision using the MAI Framework (Mandatory/Advisory/Informational). Returns classification level, confidence score, gate requirements, and rationale. |
| evaluate_threshold | Compute the Storey Threshold — escalation rate (gates required / total operations). Returns current rate, status, and recommendations. Healthy band 10-18% is a design heuristic, not empirically validated. |
| score_governance | Compute weighted governance score from caller-provided Integrity, Accuracy, and Compliance values (0-1). Returns weighted composite and pass/fail against configured thresholds. Scores are caller-assessed — this tool applies weights and thresholds, not independent evaluation. |
| audit_pipeline | Query the audit ledger for governance entries. Search by operation name or retrieve recent entries. Returns hash-chained audit trail with MAI classification context. |
| monitor_agents | Monitor the status and health of all governed AI agents. Returns supervisor state, repair history, and failure counts. |
| map_compliance | Map GIA governance components to regulatory compliance frameworks (NIST AI RMF, EU AI Act, ISO 42001, NIST 800-53, LINDDUN, MITRE ATLAS). Shows which controls are implemented. |
| assess_risk_tier | Assess the risk tier of an AI system using rule-based mapping to EU AI Act categories (Unacceptable, High, Limited, Minimal). Returns tier and MAI governance recommendations. Classification is heuristic, not a legal determination. |
| generate_report | Generate a governance status report. Includes system health, threshold status, compliance coverage, and operational metrics. |
| system_status | Get full GIA system status including engine health, uptime, governance metrics, and configuration. |
| approve_gate | Approve or reject a pending MANDATORY gate decision. Lists pending gates if no gate_id provided. This is the human-in-the-loop mechanism for MANDATORY classifications. |
| seal_memory_pack | Create and hash-seal a new Governed Memory Pack (GMP). The pack becomes an immutable, TTL-bound institutional knowledge artifact with trust level enforcement. |
| load_memory_pack | Load a Governed Memory Pack into agent context. Validates TTL, trust level, role access, context class, and hash integrity before loading. |
| transfer_memory_pack | Transfer a memory pack between agents via a governed knowledge corridor. Creates a derived pack with transfer provenance. ALWAYS requires MANDATORY gate — no silent transfers. |
| compose_memory_packs | Compose multiple memory packs into a unified execution context. Highest risk level wins, shortest TTL wins, roles intersect, trust level contaminates downward. |
| distill_memory_pack | Distill governance patterns from usage history into a draft heuristic pack. Returns EPHEMERAL draft that requires MANDATORY gate to approve for production use. |
| promote_memory_pack | Promote a memory pack to a higher trust level after human review. This is how distilled EPHEMERAL packs become CASE or ORG packs. Requires MANDATORY gate. |
| record_value_metric | Record a workflow value metric — tracks time saved, risk blocked, success rate, autonomy level, and task complexity for ROI reporting. |
| record_governance_event | Record a governance event — tracks gates triggered, drift prevented, violations blocked, red team findings, and human interventions for impact reporting. |
| generate_impact_report | Generate a full economic + governance impact report. Returns pilot ROI data: time saved, cost avoided, risks blocked, success rate, autonomy trend, and confidence levels. |
| srt_run_watchdog | Run real health check probes from the MCP container (API health, frontend, disk, memory, TLS cert, DB, DNS). Returns actual measured values — never uses AI-provided data. Classification: INFORMATIONAL — read-only, no side effects. |
| srt_diagnose | Run the SRT Diagnostician on an incident. Matches finding to known playbooks, identifies root cause, and proposes a staged repair plan. Classification: ADVISORY — read-only analysis, no mutations. |
| srt_approve_repair | Approve or reject a pending SRT repair plan. Classification: MANDATORY — this is the human-in-the-loop gate. Repair plans CANNOT execute without explicit human approval. Pass action="approve" to approve or action="reject" to reject. |
| srt_generate_postmortem | Generate a structured postmortem report for a completed SRT incident. Includes timeline, root cause, what worked/failed, prevention actions, metrics (TTD/TTDiag/TTR), and optional playbook delta. Classification: ADVISORY. |
| verify_ledger | Verify the integrity of the hash-chained forensic audit ledger. Recomputes every SHA-256 hash from genesis and reports whether the chain is intact. Classification: INFORMATIONAL — read-only, no side effects. |
| gia_scan_environment | Run scout swarm to detect target environment — OS, containers, services, network, storage. Returns EnvironmentProfile for compatibility checking. Classification: INFORMATIONAL — read-only, no mutations. Scout outputs are redacted for sensitive content. |
| gia_list_packs | List available governed operations packs. Filter by intent (remediation/patrol/hardening/audit), category, risk level, or trust level. Classification: INFORMATIONAL. |
| gia_dry_run_pack | Preview remediation pack execution — shows hydrated commands, compatibility check, validation, blast radius. Returns inputsHash for approval binding (what-you-approved-is-what-ran). Classification: ADVISORY — read-only preview, no execution. |
| gia_apply_pack | Execute a remediation or hardening pack with MANDATORY gate approval. Requires inputsHash from gia_dry_run_pack (what-you-approved-is-what-ran binding). REJECTS patrol/audit packs (use gia_run_patrol for those). Hardening packs run preflight checks before execution. Classification: MANDATORY — human approval required. |
| gia_run_patrol | Execute a patrol or audit pack — read-only posture checks that produce findings or compliance evidence. Classification: ADVISORY for low/moderate sensitivity, MANDATORY for high sensitivity. REJECTS remediation/hardening packs (use gia_apply_pack for those). Audit packs produce deterministic pass/fail per NIST control — no AI interpretation. |