Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@OntoRamp Decision Intelligence Find precedents for approving a remote work request"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Look up prior decisions relevant to a proposed action — read-only | Free |
| Record a consequential AI-assisted decision with authority context | Developer+ (auth) |
| Evaluate a decision for authority gaps, precedent conflicts, and governance alignment | Developer+ |
| Submit an Agentic Readiness Assessment request | All tiers, rate-limit exempt |
Related MCP server: DCL Evaluator
Tier | Price | Limits | Features |
Free | — (no credit card) | 20 queries/mo |
|
Developer | $0.02/call | Unlimited |
|
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/assess.
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 /health returns live status
Docs: ontoramp.com/mcp
Issues: github.com/ontoramp/ontoramp-decision-intelligence/issues
Contact: m@ontoramp.com
Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
This server cannot be deployed
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