OntoRamp Decision Intelligence
This is a governance layer for AI decisions that lets agents log consequential choices, evaluate them against your organization's authority graph, and look up precedents before taking action. It returns PASS, WARN, or BLOCK assessments. Four tools: find_decision_precedent (read-only, free tier), log_decision, evaluate_decision, and request_assessment. Hosted as a streamable HTTP endpoint, so nothing runs locally. The pitch is creating an audit trail for agentic systems in regulated environments. After 10 logged decisions it starts flagging authority gaps and prompting you to schedule an Agentic Readiness Assessment. Free tier gives you 20 queries per month, developer tier is pay-per-call, org tier is $399 flat for unlimited with aggregate analytics.
- GitHub stars
- 1
- tools
- 4
- auth
- Secret needed
- transport
- HTTP
- last updated
- Jun 9, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
find_decision_precedentLook up prior decisions relevant to a proposed action — read-only
Look up prior decisions relevant to a proposed action — read-only
No parameter schema in public metadata yet.
log_decisionRecord a consequential AI-assisted decision with authority context
Record a consequential AI-assisted decision with authority context
No parameter schema in public metadata yet.
evaluate_decisionEvaluate a decision for authority gaps, precedent conflicts, and governance alignment
Evaluate a decision for authority gaps, precedent conflicts, and governance alignment
No parameter schema in public metadata yet.
request_assessmentSubmit an Agentic Readiness Assessment request
Submit an Agentic Readiness Assessment request
No parameter schema in public metadata yet.
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
SnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthly
WaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthly
knobsSponsoredSee your site on any phone, any day, in any languageReadme
OntoRamp
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
Details
- Repository
- github.com/matthewdavisaiarchitect/ontoramp-decision-intelligence
- Category
- Monitoring & Observability
- Transport
- HTTP
- Auth
- Required
- Registry
- MCP registry, active
More from matthewdavisaiarchitect
Related Monitoring & Observability MCP servers
View all
ACR — Agent Composition Recordstethral-inc/agentregistryInteraction profile registry for AI agents. Log interactions, query behavioral lenses.0stars
SpeedOf.Mespeedofme/speedofme-mcpOfficial SpeedOf.Me server - Accurate speed tests via over 200 global edge servers with analytics.1stars
Nanostores MCPvalyay/nanostores-mcpDebug and analyze Nanostores apps with AI: scan stores, monitor runtime events, and search docs.1stars
Youfiliate Smart Linksandrewmpierce/youfiliate-mcpCreate geo-targeted affiliate smart links, pull analytics, and rewrite YouTube descriptions.0stars
Blocklens Mcp Serverblocklens/blocklens-mcp-serverBitcoin on-chain analytics — 109 metrics: MVRV, SOPR, NUPL, HODL Waves, CDD, cycles & more0stars