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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:29:40 PM

OntoRamp Decision Intelligence

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "ontoramp-decision-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "ontoramp-decision-intelligence"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

OntoRamp

OntoRamp Decision Intelligence β€” 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 β€” 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 β€” the governance layer missing from every other agentic AI stack.

MCP Registry License Status


Tools

ToolDescriptionTier
find_decision_precedentLook up prior decisions relevant to a proposed action β€” 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
Freeβ€” (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 Β· Aggregate decision health Β· Full ARA pre-population

Install

A hosted, remote MCP server (Streamable HTTP) β€” 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 β€” edit ~/.cline/mcp.json (or the Cline UI β†’ MCP Servers β†’ Configure):

config.json
{
  "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 β€” curl https://ontoramp-decision-intelligence.fly.dev/health β†’ {"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 β€” 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/ontoramp/ontoramp-decision-intelligence/issues
  • Contact: m@ontoramp.com

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

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Frequently Asked Questions about OntoRamp Decision Intelligence

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ontoramp-decision-intelligence": { "command": "npx", "args": ["-y", "OntoRamp Decision Intelligence"] } }

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TransportSTDIO
RuntimeNode.js
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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