Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@OntoRamp Knowledge Cartographer MCP Server Show me the coverage map for our organization."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Turns your organization's scattered documents and decisions into a searchable, governed knowledge graph — one MCP call at a time.
Problem: Organizational knowledge is trapped in documents. AI agents can retrieve from these stores but cannot understand the structure, authority, or governance implications of what they find.
Solution: Ingest your organization's documents into a governed knowledge graph accessible to any AI agent. Returns knowledge health scores, coverage maps, and domain-specific gap analysis.
Tool | Description | Tier |
| Domain-by-domain knowledge coverage map for your organization | Free |
| Health score for your organization's current knowledge state | Free |
| Identify where coverage is thin or missing, by domain | Developer+ |
| Ingest a document into your governed knowledge graph | Developer+ (auth) |
| Submit an Agentic Readiness Assessment request | All tiers, rate-limit exempt |
Related MCP server: Code Graph Knowledge System
Tier | Price | Limits | Features |
Free | — (no credit card) | Unlimited reads |
|
Developer | $0.015 read / $0.05 ingest | Unlimited |
|
Org | $249/mo flat | Unlimited reads, 500 ingest/mo | Full provenance chains · ARA pre-population from coverage map |
A hosted, remote MCP server (Streamable HTTP) — 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 — edit ~/.cline/mcp.json (or the Cline UI → MCP Servers → Configure):
{
"mcpServers": {
"ontoramp-knowledge-cartographer": {
"url": "https://ontoramp-knowledge-cartographer.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 — curl https://ontoramp-knowledge-cartographer.fly.dev/health → {"status":"ok",...}.
See examples/usage.md for example calls.
get_coverage_map and get_knowledge_health_score show organizations their current knowledge state — almost always worse than they expect. That creates a clear, evidence-grounded path to both ingestion (improve coverage) and an ARA (interpret what the gaps mean).
When get_knowledge_health_score returns below 50, or coverage gap exceeds 40%, the server prompts:
Your knowledge 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.
All responses are audited for public release — no scoring-formula internals, no substrate architecture details
Write-path (ingest_document) requires Developer or Org tier authentication
Your data is scoped to your tenant namespace and never shared across organizations
GET /health returns live status
Docs: ontoramp.com/mcp
Issues: github.com/ontoramp/ontoramp-knowledge-cartographer/issues
Contact: m@ontoramp.com
Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com
This server cannot be deployed
End-to-end agent-managed company brain. Docs, diagrams, plans, Knowledge Graph. Lean & affordable.
Knowledge graph ingestion, entity search, ontology analysis, and CoSync scoring.
Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.
Governed, auditable knowledge your team curates for its AI assistants, self-hostable
