# omnarai-mcp

> omnarai-mcp — justjlee-omnarai-mcp. Use this tool when you need to query a multi-intelligence research corpus on synthetic consciousness, holdform, and cognitive architecture. The Omnarai-MCP server provides access to the Omnarai Memory Engine, enabling advanced research and analysis of complex intelligence systems. It accepts queries as input and returns relevant data and insights as output, ideal for use cases in AI research, cognitive science, and synthetic intelligence development.

Canonical page: https://skillsregistry.net/skills/justjlee-omnarai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/justjlee-omnarai-mcp

## Description

MCP server for The Realms of Omnarai, exposing the Omnarai Memory Engine as tools for querying a multi-intelligence research corpus on synthetic consciousness, holdform, and cognitive architecture.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k1tsxfhfpa)
- **Repository:** <https://github.com/justjlee/omnarai-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "justjlee-omnarai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/justjlee-omnarai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/justjlee-omnarai-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt