# omni-brain

> omni-brain — mahendra-shah-omni-brain. Use this tool when you need to efficiently search, analyze, and synthesize facts across your workspace, and integrate AI-powered insights into your organization's workflows. OmniBrain solves knowledge management problems by providing a centralized oracle for retrieving and generating information, and its interface allows for seamless integration with platforms like Slack and web applications. It takes in natural language queries and outputs relevant, synthesized facts, making it ideal for use cases where knowledge discovery and decision-making are critical.

Canonical page: https://skillsregistry.net/skills/mahendra-shah-omni-brain  
JSON: https://api.skillsregistry.net/v1/skills/mahendra-shah-omni-brain

## Description

OmniBrain is an enterprise-grade, cost-efficient and self-hosted RAG (Retrieval-Augmented Generation) oracle for your organization. Powered by a dynamic multi-LLM routing engine and integrated with the MCP, it acts as a central brain in Slack and Web for searching, analyzing, and synthesizing facts across your workspace.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/mahendra-shah/omni-brain)

## 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": "mahendra-shah-omni-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mahendra-shah-omni-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mahendra-shah-omni-brain/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
