# focal-mcp

> Use this tool when you need to standardize AI behavior across multiple platforms, ensuring consistency and accuracy in responses. The focal-mcp centralizes rules and applies them to tools like Codex, Claude Code, and Cursor, solving issues of outdated or inconsistent AI behavior. It takes in updated rules as input and outputs standardized responses, making it ideal for use cases requiring unified AI decision-making.

Canonical page: https://skillsregistry.net/skills/baesi-focal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/baesi-focal-mcp

## Description

Centralizes AI behavior rules and applies them across tools like Codex, Claude Code, and Cursor, enabling agents to fetch up-to-date rules before responding.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fit3h87jrz)
- **Repository:** <https://github.com/BAESI/focal-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": "baesi-focal-mcp"
    }
  }
}
```

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