# Angular Toolkit MCP

> Use this tool when you need to analyze and refactor Angular projects, as it provides capabilities to examine component usage patterns, dependency structures, and perform safe refactoring with breaking change detection, taking in Angular project code as input and outputting refactored code and analysis results. It solves problems related to code optimization, dependency management, and safe refactoring, making it ideal for use cases involving complex Angular project maintenance and evolution. By leveraging this tool, developers can streamline their workflow and improve code quality.

Canonical page: https://skillsregistry.net/skills/push-based-angular-toolkit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/push-based-angular-toolkit-mcp

## Description

A Model Context Protocol server that provides Angular project analysis and refactoring capabilities, enabling LLMs to analyze component usage patterns, dependency structures, and perform safe refactoring with breaking change detection.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fyq8twv1cc)
- **Repository:** <https://github.com/push-based/angular-toolkit-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": "push-based-angular-toolkit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/push-based-angular-toolkit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/push-based-angular-toolkit-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