knowledge-cartographer

MCP serverDev tools

Knowledge Cartographer shows how well your documentation covers a topic and gives it a health score. Once added, your AI can ingest your docs into a governed knowledge graph, so its knowledge is organized and managed instead of scattered across files.

Use knowledge-cartographer in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add knowledge-cartographer and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use knowledge-cartographer

Details

Available today. Use it from your connected AI after setup.

Add Knowledge Cartographer, then start ingesting your documentation to generate your first coverage map and health score.

knowledge-cartographerStart free

What your AI can do with it

  • Ingest documentation into a governed knowledge graph
  • Map which topics your docs cover and where coverage is thin
  • Score the overall health of your knowledge base
  • Give your AI a single organized picture of what your documentation contains

Install knowledge-cartographer

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user knowledge-cartographer 'https://ontoramp-knowledge-cartographer.fly.dev/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://ontoramp-knowledge-cartographer.fly.dev/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=knowledge-cartographer&config=eyJ1cmwiOiJodHRwczovL29udG9yYW1wLWtub3dsZWRnZS1jYXJ0b2dyYXBoZXIuZmx5LmRldi9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://ontoramp-knowledge-cartographer.fly.dev/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add knowledge-cartographer --url 'https://ontoramp-knowledge-cartographer.fly.dev/mcp'

    Run it once, then sign in with codex mcp login knowledge-cartographer if the server asks for an account.

From the project's README

As published by matthewdavisaiarchitect/ontoramp-knowledge-cartographer in README.md.

OntoRamp Knowledge Cartographer — MCP Server

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.


Tools

ToolDescriptionTier
get_coverage_mapDomain-by-domain knowledge coverage map for your organizationFree
get_knowledge_health_scoreHealth score for your organization's current knowledge stateFree
detect_knowledge_gapsIdentify where coverage is thin or missing, by domainDeveloper+
ingest_documentIngest a document into your governed knowledge graphDeveloper+ (auth)
request_assessmentSubmit an Agentic Readiness Assessment requestAll tiers, rate-limit exempt

Tiers

TierPriceLimitsFeatures
Free— (no credit card)Unlimited readsget_coverage_map + get_knowledge_health_score (read-only, no ingest)
Developer$0.015 read / $0.05 ingestUnlimitedingest_document (auth) + detect_knowledge_gaps + all reads · Staging queue
Org$249/mo flatUnlimited reads, 500 ingest/moFull provenance chains · ARA pre-population from coverage map

Install

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.

Why the free read tools matter

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).

ARA Trigger

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.

Security

  • 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

Support


Governed by OntoRamp Governance Physics. OntoRamp LLC · ontoramp.com

Signals

Last commit
Aug 2026
Advanced
Delivery
knowledge-cartographer MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
com-ontoramp-knowledge-cartographer
Source
github.com/matthewdavisaiarchitect/ontoramp-knowledge-cartographer
Hosted endpoint
https://ontoramp-knowledge-cartographer.fly.dev/mcp