What is Mcp Codepipeline Server

The mcp-codepipeline-server is a Model Context Protocol (MCP) server that integrates with AWS CodePipeline, enabling users to manage their pipelines through Windsurf and Cascade. It provides a standardized interface for interacting with AWS CodePipeline services.

Use cases

Use cases for the mcp-codepipeline-server include automating pipeline management tasks, integrating with natural language processing tools like Cascade for easier interaction with AWS CodePipeline, and monitoring pipeline performance and execution logs.

How to use

To use the mcp-codepipeline-server, clone the repository, install dependencies, configure your AWS credentials in a .env file, build the project, and start the server. Integrate it with Windsurf by adding the server configuration to the Windsurf MCP config file.

Key features

Key features include listing all pipelines, retrieving pipeline states and definitions, managing pipeline executions, approving or rejecting manual actions, retrying failed stages, triggering executions, viewing logs, stopping executions, tagging resources, creating webhooks, and obtaining performance metrics.

Where to use

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AWS CodePipeline MCP Server

This is a Model Context Protocol (MCP) server that integrates with AWS CodePipeline, allowing you to manage your pipelines through Windsurf and Cascade. The server provides a standardized interface for interacting with AWS CodePipeline services.

Author: Cuong T Nguyen

Features

• List all pipelines
• Get pipeline state and detailed pipeline definitions
• List pipeline executions
• Approve or reject manual approval actions
• Retry failed stages
• Trigger pipeline executions
• View pipeline execution logs
• Stop pipeline executions
• Tag pipeline resources
• Create webhooks for automatic pipeline triggering
• Get pipeline performance metrics

Prerequisites

• Node.js (v14 or later)
• AWS account with CodePipeline access
• AWS credentials with permissions for CodePipeline, CloudWatch, and IAM (for tagging)
• Windsurf IDE with Cascade AI assistant

Installation

1. Clone this repository:

git clone https://github.com/cuongdev/mcp-codepipeline-server.git
cd mcp-codepipeline-server

2. Install dependencies:

npm install

3. Create a .env file based on the .env.example template:

cp .env.example .env

4. Update the .env file with your AWS credentials and configuration:

AWS_REGION=us-east-1
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
PORT=3000

Note: For security, never commit your .env file to version control.

Usage

Build the project

npm run build

Start the server

npm start

For development with auto-restart:

npm run dev

Integration with Windsurf

This MCP server is designed to work with Windsurf, allowing Cascade to interact with AWS CodePipeline through natural language requests.

Setup Steps

1. Make sure the server is running:

npm start

2. Add the server configuration to your Windsurf MCP config file at ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "codepipeline": {
      "command": "npx",
      "args": [
        "-y",
        "path/to/mcp-codepipeline-server/dist/index.js"
      ],
      "env": {
        "AWS_REGION": "us-east-1",
        "AWS_ACCESS_KEY_ID": "your_access_key_id",
        "AWS_SECRET_ACCESS_KEY": "your_secret_access_key"
      }
    }
  }
}

3. Create the directory if it doesn’t exist:

mkdir -p ~/.codeium/windsurf
touch ~/.codeium/windsurf/mcp_config.json

4. Restart Windsurf to load the new MCP server configuration

Using with Cascade

Once configured, you can interact with AWS CodePipeline using natural language in Windsurf. For example:

• “List all my CodePipeline pipelines”
• “Show me the current state of my ‘production-deploy’ pipeline”
• “Trigger the ‘test-build’ pipeline”
• “Get metrics for my ‘data-processing’ pipeline”
• “Create a webhook for my ‘frontend-deploy’ pipeline”

Cascade will translate these requests into the appropriate MCP tool calls.

MCP Tools

Core Pipeline Management

Pipeline Details and Metrics

Pipeline Actions and Integrations

Troubleshooting

Common Issues

1. Connection refused error:

   • Ensure the server is running on the specified port
   • Check if the port is blocked by a firewall

2. AWS credential errors:

   • Verify your AWS credentials in the .env file
   • Ensure your IAM user has the necessary permissions

3. Windsurf not detecting the MCP server:

   • Check the mcp_config.json file format
   • Ensure the server URL is correct
   • Restart Windsurf after making changes

Logs

The server logs information to the console. Check these logs for troubleshooting:

# Run with more verbose logging
DEBUG=* npm start

Examples

Creating a Webhook for GitHub Integration

{
  "pipelineName": "my-pipeline",
  "webhookName": "github-webhook",
  "targetAction": "Source",
  "authentication": "GITHUB_HMAC",
  "authenticationConfiguration": {
    "SecretToken": "my-secret-token"
  },
  "filters": [
    {
      "jsonPath": "$.ref",
      "matchEquals": "refs/heads/main"
    }
  ]
}

Getting Pipeline Metrics

{
  "pipelineName": "my-pipeline",
  "period": 86400,
  "startTime": "2025-03-10T00:00:00Z",
  "endTime": "2025-03-17T23:59:59Z"
}

License

ISC