# codesona-mcp-server

> codesona-mcp-server — azteron-codesona-mcp-server. Use this tool when you need to establish consistent coding standards across your team, and integrate them with AI assistants for improved code quality and compliance. It solves problems of inconsistent coding practices and provides a standardized framework for AI-driven code suggestions. The tool accepts coding standards as input and outputs suggested rules and updates via the MCP protocol.

Canonical page: https://skillsregistry.net/skills/azteron-codesona-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/azteron-codesona-mcp-server

## Description

Provides team coding standards to AI assistants via the MCP protocol, with tools to fetch rules and suggest new ones.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pxen2c1ut8)
- **Repository:** <https://github.com/Azteron/codesona-mcp-server>

## 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": "azteron-codesona-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azteron-codesona-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azteron-codesona-mcp-server/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