A locally configured server named ontoloom. The supplied information describes how to start it with Python, but not what the server does.

Use it to connect an agent to the configured ontoloom server, subject to the tools that server provides.

There is not enough information here to state what problem it solves without guessing.

ontoloom — MCP server for Claude Code and Codex by ExtensityAI: A locally configured server named ontoloom.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add mcp/extensityai/ontoloom/claude-plugin-ontoloom

Clone the repo

git clone --depth 1 https://github.com/ExtensityAI/ontoloom

Made for: Claude Code, Codex, Cursor, Gemini CLI, OpenCode.

Or install ontoloom, the plugin that ships this one along with the rest of its 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/mcp/extensityai/ontoloom/claude-plugin-ontoloom.svg)](https://agentmods.dev/mcp/extensityai/ontoloom/claude-plugin-ontoloom)

Your own site

<a href="https://agentmods.dev/mcp/extensityai/ontoloom/claude-plugin-ontoloom"><img src="https://agentmods.dev/badge/mcp/extensityai/ontoloom/claude-plugin-ontoloom.svg" alt="Measured on agentmods" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

ontoloom scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/claude-plugin/.mcp.json · 14 lines

What it actually says

{
  "ontoloom": {
    "type": "stdio",
    "command": "uv",
    "args": [
      "run",
      "--project",
      "packages/mcp",
      "python",
      "-m",
      "ontoloom_mcp.server"
    ]
  }
}

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

5d ago First seen · 14 lines scan A 33bcd26e2fcc

Subscribe to this mod's changes

ontoloom is an MCP server published in the GitHub repository ExtensityAI/ontoloom (21 stars, last pushed 3mo ago), licensed BSD-3-Clause. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

mcp neurosymbolic-ai ontology ontology-engineering owl2

ontoloom

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What this file has done since we first saw it

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