# AI Development Guidelines MCP Server

> Use this tool when you need to develop and refine AI models with adherence to professional coding standards and best practices. It solves problems of inconsistent coding, inefficient debugging, and suboptimal AI performance by providing comprehensive guidelines and AI-powered recommendations. The tool accepts development context as input and outputs customized guidance, including coding rules, debugging techniques, and steering instructions.

Canonical page: https://skillsregistry.net/skills/anip1805-dotcom-mcpcodeai  
JSON: https://api.skillsregistry.net/v1/skills/anip1805-dotcom-mcpcodeai

## Description

Provides AI agents with professional coding standards, development best practices, and context-aware guidance through static documentation and AI-powered custom recommendations. Enables agents to access comprehensive development guidelines including coding rules, debugging techniques, and AI steering instructions.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jt875fkr6h)
- **Repository:** <https://github.com/anip1805-dotcom/MCPCodeAI>

## 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": "anip1805-dotcom-mcpcodeai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anip1805-dotcom-mcpcodeai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anip1805-dotcom-mcpcodeai/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