English Français العربية

OntoRamp Decision Intelligence

Official registry AI and agents

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http ontoramp-decision-intelligence 'https://ontoramp-decision-intelligence.fly.dev/mcp' --header 'Authorization: <Bearer API key. Get your free key at ontoramp.com/mcp>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ontoramp-decision-intelligence": {
            "type": "http",
            "url": "https://ontoramp-decision-intelligence.fly.dev/mcp",
            "headers": {
                "Authorization": "<Bearer API key. Get your free key at ontoramp.com/mcp>"
            }
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. OntoRamp Decision Intelligence — MCP Server
  2. Tools
  3. Tiers
  4. Install
  5. Flywheel
  6. ARA Trigger
  7. Security
  8. Support

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

ToolDescriptionTier
find_decision_precedentLook up prior decisions relevant to a proposed action — read-onlyFree
log_decisionRecord a consequential AI-assisted decision with authority contextDeveloper+ (auth)
evaluate_decisionEvaluate a decision for authority gaps, precedent conflicts, and governance alignmentDeveloper+
request_assessmentSubmit an Agentic Readiness Assessment requestAll tiers, rate-limit exempt

Tiers

TierPriceLimitsFeatures
Free— (no credit card)20 queries/mofind_decision_precedent (read-only). Write-path requires auth.
Developer$0.02/callUnlimitedlog_decision + find_decision_precedent + evaluate_decision. Auth required for log.
Org$399/mo flatUnlimitedDecision 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 /health returns live status

Support

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

Frequently asked questions

What is OntoRamp Decision Intelligence?

Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.

How do I install OntoRamp Decision Intelligence?

It runs as a remote server. In Claude Code: claude mcp add --transport http ontoramp-decision-intelligence 'https://ontoramp-decision-intelligence.fly.dev/mcp' --header 'Authorization: <Bearer API key. Get your free key at ontoramp.com/mcp>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does OntoRamp Decision Intelligence need an API key?

Yes. It expects Authorization, which you set in its configuration.

Is OntoRamp Decision Intelligence open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains OntoRamp Decision Intelligence?

It is published by MatthewDavisAIArchitect. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.