OntoRamp Decision Intelligence

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.

[](https://registry.modelcontextprotocol.io) [](LICENSE) [](https://ontoramp-decision-intelligence.fly.dev/health)

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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](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](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 /health returns live status

Support

• Docs: ontoramp.com/mcp
• Issues: github.com/MatthewDavisAIArchitect/ontoramp-decision-intelligence/issues
• Contact: m@ontoramp.com

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Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: MatthewDavisAIArchitect
• Source: MatthewDavisAIArchitect/ontoramp-decision-intelligence
• License: MIT
• Homepage: https://ontoramp.com/mcp

Install and usage instructions live in the source repository linked above.