OntoRamp Graph Query
If your AI agents need to check "what does our architecture actually say about this?" before making decisions, this is the server. It queries your organization's documented architecture graph and returns governance constraints, system dependencies, and evidence chains instead of generic document search results. The free tier gives you query_architecture and get_constraint_signals with 10 calls per day. Developer tier unlocks find_dependencies and get_evidence_for_claim with full provenance tracking. It's hosted on Streamable HTTP, so you just drop the URL and your API key into your MCP config. Useful when you want agents to respect existing architectural decisions rather than propose solutions that conflict with what's already been documented and approved.
- tools
- 5
- auth
- Secret needed
- transport
- HTTP
- last updated
- Sep 7, 2026
Tools
5 toolsPublic tool metadata for what this MCP can expose to an agent.
query_architectureQuery organizational architecture for answers grounded in documented structure
Query organizational architecture for answers grounded in documented structure
No parameter schema in public metadata yet.
get_constraint_signalsSurface governance constraints relevant to a proposed action or decision
Surface governance constraints relevant to a proposed action or decision
No parameter schema in public metadata yet.
find_dependenciesTrace dependencies between systems and components in your architecture
Trace dependencies between systems and components in your architecture
No parameter schema in public metadata yet.
get_evidence_for_claimReturn evidence chains supporting or contradicting an architectural claim
Return evidence chains supporting or contradicting an architectural claim
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.
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OntoRamp
OntoRamp Graph Query — MCP Server
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.
Tools
Details
- Repository
- github.com/matthewdavisaiarchitect/ontoramp-graph-query
- Transport
- HTTP
- Auth
- Required
- Registry
- MCP registry, active