# FOCUS MCP Server

> Use this tool when you need to analyze cloud billing data and optimize multi-cloud costs through natural language queries or custom SQL execution. It solves problems related to FinOps practices and cost optimization by providing 36+ predefined cost analysis queries and schema documentation. Ideal for use cases involving cloud cost management, where inputs include FOCUS format billing data and outputs include actionable cost insights.

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

## Description

Enables AI assistants to analyze cloud billing data in FOCUS format through natural language queries. Provides 36+ predefined cost analysis queries, custom SQL execution, and schema documentation for multi-cloud cost optimization and FinOps practices.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yqu757oezo)
- **Repository:** <https://github.com/glassity/focus-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": "glassity-focus-mcp"
    }
  }
}
```

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