# CodePipeline

> Use this tool when you need to manage and monitor Continuous Integration/Continuous Deployment (CI/CD) pipelines using natural language commands. It solves problems related to DevOps workflow complexity by providing a standardized interface for interacting with AWS CodePipeline services. The tool accepts natural language inputs and outputs pipeline metrics, execution status, and approval requests, making it ideal for use cases where conversational AI interactions can simplify complex DevOps tasks.

Canonical page: https://skillsregistry.net/skills/cuongdev-codepipeline  
JSON: https://api.skillsregistry.net/v1/skills/cuongdev-codepipeline

## Description

AWS CodePipeline MCP Server provides a standardized interface for interacting with AWS CodePipeline services, enabling AI assistants to manage and monitor CI/CD pipelines through natural language commands. Built by Cuong T Nguyen, the server exposes tools for listing pipelines, triggering executions, approving actions, and retrieving pipeline metrics, making complex DevOps workflows more accessible through conversational AI interactions.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cuongdev-codepipeline)
- **Repository:** <https://github.com/cuongdev/mcp-codepipeline-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": "cuongdev-codepipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cuongdev-codepipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cuongdev-codepipeline/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