ZBS Index What actually exists in applied AI, with the source next to it

mcp server

OntoRamp Knowledge Cartographer

Knowledge coverage map and health score. Ingest docs into a governed knowledge graph via MCP.

Description as published by the maintainer. Source

  • version 1.0.1
  • active
  • retrieval
  • memory and context

active — Most recent push to the repository was 2026-06-10. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-06-10 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 1.0.1 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-09 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-06-09 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • OntoRamp Decision Intelligence — last commit 2026-06-10, shares enterprise-ai, governance, ontoramp
    Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
  • OntoRamp Graph Query — last commit 2026-06-10, shares enterprise-ai, governance, ontoramp
    Architecture-grounded query for AI agents. Governance constraints, system dependencies, evidence.
  • OntoRamp Transformation Radar — last commit 2026-06-10, shares enterprise-ai, governance, ontoramp
    Transformation readiness gaps and initiative risk signals for AI agents and enterprise change leads.
  • io.github.Bahamas1717/aibvf-mcp — last commit 2026-08-05, shares enterprise-ai
    AI BVF: score AI portfolios Stop/Fix/Accelerate with decision confidence and pace-layer drag.
  • io.github.bibinprathap/veritasgraph — last commit 2026-08-06, shares enterprise-ai
    Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.
  • io.github.Craig-Horton/aibvf-mcp — last commit 2026-08-05, shares enterprise-ai
    AI BVF: score AI portfolios Stop/Fix/Accelerate with decision confidence and pace-layer drag.
  • ac.tandem/docs-mcp — last commit 2026-08-05, shares governance
    Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.
  • AGTS MCP Server — last commit 2026-05-13, shares governance
    Sovereign MCP Gateway — 64 governed tools with Merkle transparency log. EU AI Act ready.
  • LiveCheck AI — last commit 2026-07-30, shares governance
    Secure MCP runtime server for scanning and autofixing code issues
  • adrkit decision memory — last commit 2026-08-06, shares governance
    Deterministic, offline, read-only ADR decision memory for coding agents. No model or network calls.

These share tags the maintainers applied themselves, such as enterprise-ai, governance, ontoramp. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-agents, ai-governance, enterprise-ai, governance, mcp, mcp-server, model-context-protocol, ontoramp.

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Sources

  1. MatthewDavisAIArchitect/ontoramp-knowledge-cartographer on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.