This is a governance layer for AI decisions that lets agents log consequential choices, evaluate them against your organization's authority graph, and look up precedents before taking action. It returns PASS, WARN, or BLOCK assessments. Four tools: find_decision_precedent (read-only, free tier), log_decision, evaluate_decision, and request_assessment. Hosted as a streamable HTTP endpoint, so nothing runs locally. The pitch is creating an audit trail for agentic systems in regulated environments. After 10 logged decisions it starts flagging authority gaps and prompting you to schedule an Agentic Readiness Assessment. Free tier gives you 20 queries per month, developer tier is pay-per-call, org tier is $399 flat for unlimited with aggregate analytics.

The only MCP server that lets any AI agent log, evaluate, and ground a consequential decision against an organization's actual documented authority graph — before acting.
Problem: Consequential decisions made with AI assistance are invisible, ungoverned, and untraceable. There is no record. No authority check. No precedent lookup. No audit trail.
Solution: Log, evaluate, and ground every consequential AI-assisted decision against your organization's authority graph. Creates a traceable decision audit trail — the governance layer missing from every other agentic AI stack.
| Tool | Description | Tier |
|---|---|---|
find_decision_precedent | Look up prior decisions relevant to a proposed action — read-only | Free |
log_decision | Record a consequential AI-assisted decision with authority context | Developer+ (auth) |
evaluate_decision | Evaluate a decision for authority gaps, precedent conflicts, and governance alignment | Developer+ |
request_assessment | Submit an Agentic Readiness Assessment request | All tiers, rate-limit exempt |
| Tier | Price | Limits | Features |
|---|---|---|---|
| Free | — (no credit card) | 20 queries/mo | find_decision_precedent (read-only). Write-path requires auth. |
| Developer | $0.02/call | Unlimited | log_decision + find_decision_precedent + evaluate_decision. Auth required for log. |
| Org | $399/mo flat | Unlimited | Decision authority graph surfaced · Aggregate decision health · Full ARA pre-population |
A hosted, remote MCP server (Streamable HTTP) — nothing to install locally. See llms-install.md for an agent-followable walkthrough.
1. Get a free API key at ontoramp.com/mcp (no credit card).
2. Add to Cline — edit ~/.cline/mcp.json (or the Cline UI → MCP Servers → Configure):
{
"mcpServers": {
"ontoramp-decision-intelligence": {
"url": "https://ontoramp-decision-intelligence.fly.dev/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" },
"disabled": false,
"autoApprove": []
}
}
}
Other MCP clients (Claude Desktop, etc.) use the same mcpServers shape. Transport is Streamable HTTP.
3. Verify — curl https://ontoramp-decision-intelligence.fly.dev/health → {"status":"ok",...}.
See examples/usage.md for example calls.
Every logged decision pre-seeds your organization's knowledge graph. Organizations using log_decision for 60 days reduce their L1 Agentic Readiness Assessment delivery from 4–6 weeks to 2–3 weeks. Logging decisions is the highest-value action in the catalog for improving AI governance posture.
After 10 logged decisions, evaluate_decision surfaces authority gaps and prompts:
Your decision coverage has gaps that a manual review won't surface. An Agentic Readiness Assessment will diagnose your current state and build a prioritized remediation plan. Schedule at ontoramp.com/assessment.
log_decision) requires Developer or Org tier authenticationGET /health returns live statusGoverned by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
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