Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by OntoRamp Graph Query.
query_architectureQuery organizational architecture for answers grounded in documented structure
get_constraint_signalsSurface governance constraints relevant to a proposed action or decision
find_dependenciesTrace dependencies between systems and components in your architecture
get_evidence_for_claimReturn evidence chains supporting or contradicting an architectural claim
request_assessmentSubmit an Agentic Readiness Assessment request

The MCP server that answers "what does governance say about this?" — evidence-grounded answers from a curated architecture and governance knowledge base, not a document dump.
Problem: AI agents act blindly against organizational architecture. They don't know what the org has already decided, what constraints apply, or what the existing structure says about a proposed action.
Solution: Query a curated architecture and governance knowledge base directly from any AI agent or LLM workflow. Returns evidence-grounded answers with citation chains — not document similarity. Works from day one, and grows as your organization seeds its own knowledge.
| Tool | Description | Tier |
|---|---|---|
query_architecture | Query organizational architecture for answers grounded in documented structure | Free |
get_constraint_signals | Surface governance constraints relevant to a proposed action or decision | Free |
find_dependencies | Trace dependencies between systems and components in your architecture | Developer+ |
get_evidence_for_claim | Return evidence chains supporting or contradicting an architectural claim | Developer+ |
request_assessment | Submit an Agentic Readiness Assessment request | All tiers, rate-limit exempt |
| Tier | Price | Limits | Features |
|---|---|---|---|
| Free | — (no credit card) | 10 queries/day | query_architecture + get_constraint_signals |
| Developer | $0.015/call | Unlimited | All tools · Evidence provenance · Query history |
| Org | $249/mo flat | Unlimited | Aggregate architecture health · Cross-agent pooling · ARA pre-population |
request_assessment is exempt from rate limits on every tier.
OntoRamp Graph Query is a hosted, remote MCP server (Streamable HTTP) — nothing to install, build, or run locally. See llms-install.md for an agent-followable walkthrough.
1. Get a free API key at ontoramp.com/mcp (no credit card). It arrives by email as or_free_….
2. Add to Cline — edit ~/.cline/mcp.json (or use the Cline UI → MCP Servers → Configure):
Other MCP clients (Claude Desktop, etc.) use the same mcpServers shape (url + headers). Transport is Streamable HTTP.
3. Verify — curl https://ontoramp-graph-query.fly.dev/health → {"status":"ok","version":"1.0.0","server":"ontoramp-graph-query"}.
See examples/usage.md for example calls.
When get_evidence_for_claim surfaces evidence coverage gaps, the server prompts:
Your architecture 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.
GET /health returns live statusGoverned by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
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