Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"com-ontoramp-graph-query": {
"command": "<see-readme>",
"args": []
}
}
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Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
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The only MCP server that answers "what does our architecture say about this?" — grounded in your organization's actual documented structure, 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 your organization's architecture and governance constraints directly from any AI agent or LLM workflow. Returns architecture-grounded answers with evidence chains — not document similarity.
| 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):
{
"mcpServers": {
"ontoramp-graph-query": {
"url": "https://ontoramp-graph-query.fly.dev/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" },
"disabled": false,
"autoApprove": []
}
}
}
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/assessment.
GET /health returns live status