OntoRamp Decision Intelligence
RemoteAbout OntoRamp Decision Intelligence
OntoRamp Decision Intelligence is a hosted MCP server for teams that need to govern consequential AI-assisted decisions. It checks decisions against organizational authority context and prior decisions, and records an audit trail.
Key features
- 01Find relevant prior decisions
- 02Log decisions with authority context
- 03Evaluate authority gaps and conflicts
- 04Request an Agentic Readiness Assessment
Use cases
- 01Checking precedent before an AI agent acts
- 02Recording consequential AI-assisted decisions
- 03Reviewing decisions for authority or governance gaps
- 04Requesting an organizational readiness assessment
MCP support
Exposes decision lookup, logging, evaluation, and assessment-request tools through a hosted Streamable HTTP MCP server. Logging and some evaluation capabilities require authentication.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://ontoramp-decision-intelligence.fly.dev/mcpclaude mcp add --transport http com-ontoramp-decision-intelligence https://ontoramp-decision-intelligence.fly.dev/mcp{"mcpServers":{"com-ontoramp-decision-intelligence":{"type":"http","url":"https://ontoramp-decision-intelligence.fly.dev/mcp"}}}Open in Cursor{"servers":{"com-ontoramp-decision-intelligence":{"type":"http","url":"https://ontoramp-decision-intelligence.fly.dev/mcp"}}}Open in VS Code{"mcpServers":{"com-ontoramp-decision-intelligence":{"type":"http","url":"https://ontoramp-decision-intelligence.fly.dev/mcp"}}}{"mcpServers":{"com-ontoramp-decision-intelligence":{"serverUrl":"https://ontoramp-decision-intelligence.fly.dev/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://ontoramp-decision-intelligence.fly.dev/mcpAuth requiredTools
Details
From the project README
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/assess.
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/ontoramp/ontoramp-decision-intelligence/issues
- Contact: [email protected]
Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.