# Alistair-MCP

> Alistair-MCP — owenloh-alistair-mcp. Use this tool when you need to unify interactions across multiple AI providers, such as Claude, Gemini, or ChatGPT, and maintain a consistent personality and memory. Alistair-MCP solves the problem of fragmented AI experiences by providing a shared interface for various AI frameworks, allowing seamless swaps between providers. It takes in user inputs and AI provider specifications, outputting a cohesive and personalized AI experience.

Canonical page: https://skillsregistry.net/skills/owenloh-alistair-mcp  
JSON: https://api.skillsregistry.net/v1/skills/owenloh-alistair-mcp

## Description

My personal Jarvis in one MCP: shared tools, memory, and personality across Claude, Gemini, ChatGPT, or voice. Swap the LLM provider/framework, keep the same Alistair.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **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/owenloh/Alistair-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": "owenloh-alistair-mcp"
    }
  }
}
```

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