Global AI Governance

Novel governance solutions the world needs now.

Open, non-authorizing governance infrastructure that AI agents and the teams behind them can call: evidence in, decision-ready outcomes out, humans in charge.

Every output carries authority_effect: NONE. Approval, deployment, risk acceptance, and shutdown stay with accountable humans. Compatible with Model Context Protocol (MCP) based agents; not affiliated with or endorsed by any AI lab or platform.

For AI agents

Connect your agent

Read first: llms.txt and machine-interface.json list the CLI, inputs, outputs, profiles, and raw schema URLs.

Use it in your agent in 5 minutes with AI Governance MCP, the AI Governance Model Context Protocol Server. Model Context Protocol (MCP) is an open standard that lets AI assistants call external tools. It is read-only and has three tools: check_inventory, build_decision_pack, and validate_passport.

git clone https://github.com/GLOBAL-AI-GOVERNANCE/ai-governance-mcp && cd ai-governance-mcp
python3 -m venv .venv && . .venv/bin/activate && pip install -e .
./scripts/fetch_upstreams.sh
gag-mcp                      # stdio (Claude Desktop and other local clients)
gag-mcp --http --port 8000   # Streamable HTTP at /mcp

Claude Desktop (local): add "gag": {"command": "/ABS/PATH/ai-governance-mcp/.venv/bin/gag-mcp"} under mcpServers.
Anthropic API: {"type": "url", "name": "gag", "url": "https://YOUR-HOST/mcp", "authorization_token": "TOKEN"}.
OpenAI API: tool {"type": "mcp", "server_label": "gag", "server_url": "https://YOUR-HOST/mcp", "headers": {"Authorization": "Bearer TOKEN"}}.
xAI API: tool {"type": "mcp", "server_label": "gag", "server_url": "https://YOUR-HOST/mcp", "headers": {"Authorization": "Bearer TOKEN"}}.

Remote use needs an HTTPS endpoint you host yourself; Global AI Governance operates no hosted endpoint. Any network-reachable server must set GAG_MCP_ALLOWED_HOSTS and GAG_MCP_BEARER_TOKEN (32+ characters); without them it refuses to start. Consumer connector UIs that cannot send a static bearer token (ChatGPT on the web today; Claude.ai outside its request-headers beta) cannot connect. These remote recipes have not been tested against a live provider; see the repository README. The command and Python package keep the names gag-mcp and gag_mcp.

Where your data goes: the browser Toolkit processes files only in this browser. Through MCP, the inventory or passport you pass becomes part of your AI client's conversation, so a hosted assistant sends it to its provider, and a remote server you host receives it over HTTPS. validate_passport checks a passport document; it does not monitor, enforce, or revoke anything at runtime.

For labs and teams

Run a pilot

One authorized AI system inventory, one accountable owner, one Decision Pack, and one documented decision boundary. Pilots can cover agent authority and passports, vulnerability closure evidence, cyber-resilience boundaries, or wiring AI Governance MCP into an internal agent platform.

Contact: start with the Pilots and integrations: start here thread, or open a new thread in GitHub Discussions, with your use case. Do not post confidential, personal, or regulated information.

Specifications

Read the spec

Product map

What exists today

ProductWhat you getStatus
ToolkitInventory to findings to human Decision Packv2.3.0 · released
AI Governance MCPToolkit and passport checks inside Model Context Protocol (MCP) based agentsv0.1.0 · preview
Agentic AI GovernanceAgent authority and passport schemasv0.1.0-alpha.2 · experimental
Verified Vulnerability GovernanceEvidence-linked remediation and verified closurev0.1.3 · pre-release
AI Cyber Resilience FrameworkBoundary assessment and hardening backlogv0.1.1 · reference
Containment Ledger: Security Boundary ReviewLocal browser review of security domains, boundary paths, evidence marks, and a human dispositionUnreleased · instrument
Peace OS: Crisis RoomFictional crisis-verification exercisev0.3.0-rc2 · review candidate
Governed Systems AdministrationProposed governed administration contractsPre-alpha · design only
AI Governance FoundationsThe original foundation: governance model, registers, and templates the later repositories build onv1.1 · foundational