# @focus-mcp/cli

> Use this tool when you need to optimize AI agent performance by reducing context usage. The @focus-mcp/cli orchestrator loads modular bricks on demand, solving issues of excessive memory consumption and improving overall efficiency. It takes in modular brick configurations as input and outputs optimized AI agent contexts, ideal for use cases where resource conservation is crucial.

Canonical page: https://skillsregistry.net/skills/focus-mcp-cli  
JSON: https://api.skillsregistry.net/v1/skills/focus-mcp-cli

## Description

MCP orchestrator that loads modular bricks on demand, reducing AI agent context usage by ~65%.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/azrd9pq9h4)
- **Repository:** <https://github.com/focus-mcp/cli>

## 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": "focus-mcp-cli"
    }
  }
}
```

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