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GIA Governance Intelligence Automation

knowledgepa3/gia-mcp-server
2authSTDIO, HTTPregistry active
Summary

This is a full governance layer for AI agents built around the MAI decision framework (Mandatory, Advisory, Informational). You get 29 tools split across decision gates, compliance mapping (NIST AI RMF, EU AI Act, ISO 42001), hash-chained audit ledgers, and knowledge pack management with trust levels and TTLs. The engine runs embedded with optional Postgres for persistence, enforcing human-in-the-loop approvals at mandatory gates and generating forensic audit trails you can cryptographically verify. Reach for this if you're deploying agents in regulated environments (FedRAMP, CMMC, SOC 2) and need enforceable controls, not just logging. Also includes infrastructure remediation packs and economic ROI tracking for governance interventions.

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GIA Governance Intelligence Automation

Enterprise AI governance through the Model Context Protocol.

GIA is a production governance engine that gives AI agents enforceable decision controls, compliance scoring, immutable audit chains, and human-in-the-loop gates. Built for organizations operating under NIST, FedRAMP, CMMC, EU AI Act, and SOC 2 requirements.

29 MCP tools. One integration point. Integrates with any MCP-compatible agent, framework, or client.

Quick Start

The governance engine runs fully embedded — no API key, no external dependency.

npx gia-mcp-server

Or install globally:

npm install -g gia-mcp-server
gia-mcp-server

All 29 tools are available immediately. By default the engine runs in-memory. Add a Postgres connection string for persistent audit trails:

DATABASE_URL=postgresql://... npx gia-mcp-server

MCP Client Configuration

Add to your MCP client config (stdio transport):

{
  "mcpServers": {
    "gia-governance": {
      "command": "npx",
      "args": ["-y", "gia-mcp-server"]
    }
  }
}

Streamable HTTP (Remote)

A hosted endpoint is available for frameworks that prefer HTTP transport:

https://gia.aceadvising.com/mcp

Requires GIA_API_KEY — contact aceadvising.com for access.

Smithery

npx -y @smithery/cli install gia-mcp-server

Tools

Decision Controls (MAI Framework)

ToolDescription
classify_decisionClassify agent decisions as Mandatory, Advisory, or Informational
approve_gateHuman-in-the-loop approval for Mandatory gates
evaluate_thresholdCompute escalation health (Storey Threshold)
score_governanceWeighted governance scoring (Integrity, Accuracy, Compliance)

Compliance & Audit

ToolDescription
audit_pipelineQuery the hash-chained forensic audit ledger
verify_ledgerVerify SHA-256 chain integrity from genesis
map_complianceMap controls to NIST AI RMF, EU AI Act, ISO 42001, NIST 800-53
assess_risk_tierEU AI Act risk tier classification
generate_reportGovernance status reports (summary, detailed, executive)

Knowledge Packs

ToolDescription
seal_memory_packCreate immutable, TTL-bound knowledge artifacts
load_memory_packLoad packs with trust level and role enforcement
transfer_memory_packGoverned knowledge transfer between agents
compose_memory_packsMerge packs with risk contamination rules
distill_memory_packExtract governance patterns from usage history
promote_memory_packPromote packs to higher trust levels after review

Security & Operations

ToolDescription
monitor_agentsAgent health, repair history, failure counts
srt_run_watchdogInfrastructure health probes (API, disk, memory, TLS, DB, DNS)
srt_diagnoseIncident diagnosis with playbook matching
srt_approve_repairHuman-approved repair execution
srt_generate_postmortemStructured incident postmortems with TTD/TTR metrics

Infrastructure Remediation

ToolDescription
gia_scan_environmentScout swarm for environment detection
gia_list_packsList remediation, patrol, hardening, and audit packs
gia_dry_run_packPreview pack execution with blast radius analysis
gia_apply_packExecute remediation with mandatory human approval
gia_run_patrolRead-only posture checks and compliance audits

Impact & Value

ToolDescription
record_value_metricTrack time saved, risks blocked, autonomy levels
record_governance_eventLog gates, drift prevention, violations blocked
generate_impact_reportEconomic + governance ROI reporting
system_statusEngine health, uptime, configuration

Architecture

GIA enforces governance through three layers:

  1. Decision Controls — MAI classification gates side effects and high-impact actions
  2. Step Hooks — Workflow progression control at each pipeline stage
  3. Kernel Hooks — Resource control at the LLM boundary, including sub-agents

Every governance action is recorded in a SHA-256 hash-chained audit ledger that can be independently verified.

Compliance Coverage

  • NIST AI RMF — Risk management framework mapping
  • EU AI Act — Risk tier assessment and control mapping
  • ISO 42001 — AI management system alignment
  • NIST 800-53 — Federal security control mapping
  • CMMC 2.0 — DoD cybersecurity maturity
  • FedRAMP — Federal cloud authorization
  • SOC 2 — Service organization controls

About

Built by Advanced Consulting Experts (ACE) — a Service-Disabled Veteran-Owned Small Business (SDVOSB).

GIA was designed by William J. Storey III, a 17-year Information System Security Officer with experience across DoD contracts and U.S. Army Ranger Battalion operations. The same discipline applied to securing classified systems now governs AI agent workforces.

License

MIT

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Categories
Documents & Knowledge
Registryactive
Packagegia-mcp-server
TransportSTDIO, HTTP
AuthRequired
UpdatedMar 12, 2026
View on GitHub

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