Enterprise AI governance: audit trails, compliance, human-in-the-loop gates for Claude.
Gia MCP server exists for a simple reason — assistants are far more useful when they can act on Gia directly instead of describing what you should do. Enterprise AI governance: audit trails, compliance, human-in-the-loop gates for Claude.
A key is only for Option 2, the hosted endpoint, where the ledger, gates, and knowledge packs are shared infrastructure rather than local state. → Starter key at gia.aceadvising.com/get-api-key — email in, key out, under 2 minutes, no credit card. Starter tier is 30 req/min and 1,000 tool calls/day.
Once Gia is connected, these are the calls the assistant has available:
classify_decision — Classify any AI agent decision using the MAI Framework. decision and domain are both required; the impact flags default to falserequest_context — Governed Context Authority. Agents declare what context they need. GIA decides what to serve based on role, scope, and contractscore_governance — Score any agent output on three dimensions. operation is required — the score is recorded against a named operation, not scored in the abstractevaluate_threshold — The Storey Threshold measures governance health by tracking MANDATORY escalation rateBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 2 environment variables: DATABASE_URL, GIA_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Gia's toolset — classify_decision, request_context, score_governance and 1 more — is a fair guide to whether it matches your workflow. It is maintained by knowledgepa3; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| classify_decision | Classify any AI agent decision using the MAI Framework. decision and domain are both required; the impact flags default to false. |
| request_context | Governed Context Authority. Agents declare what context they need. GIA decides what to serve based on role, scope, and contract. |
| score_governance | Score any agent output on three dimensions. operation is required — the score is recorded against a named operation, not scored in the abstract. |
| evaluate_threshold | The Storey Threshold measures governance health by tracking MANDATORY escalation rate. |
{
"mcpServers": {
"gia": {
"command": "npx",
"args": ["gia-mcp-server"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| DATABASE_URL | Endpoint or connection string the server talks to. | Yes |
| GIA_API_KEY | Credential the server authenticates with. | Yes |
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