OntoRamp Decision Intelligence
Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.
README
<p align="center"><img src="logo.png" width="84" alt="OntoRamp"></p>
OntoRamp Decision Intelligence — MCP Server
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.
Tools
| 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 |
Tiers
| 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 |
Install
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.
Flywheel
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.
ARA Trigger
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.
Security
- All responses are audited for public release — no scoring-formula internals, no substrate architecture details
- Write-path (
log_decision) requires Developer or Org tier authentication - Your data is scoped to your tenant namespace and never shared across organizations
GET /healthreturns live status
Support
- Docs: ontoramp.com/mcp
- Issues: github.com/MatthewDavisAIArchitect/ontoramp-decision-intelligence/issues
- Contact: m@ontoramp.com
Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
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