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

Tool Name	Description	Parameters
list_pipelines	List all CodePipeline pipelines	None
get_pipeline_state	Get the state of a specific pipeline	pipelineName: Name of the pipeline
list_pipeline_executions	List executions for a specific pipeline	pipelineName: Name of the pipeline
trigger_pipeline	Trigger a pipeline execution	pipelineName: Name of the pipeline
stop_pipeline_execution	Stop a pipeline execution	pipelineName: Name of the pipeline executionId: Execution ID reason: Optional reason for stopping

Pipeline Details and Metrics

Tool Name	Description	Parameters
get_pipeline_details	Get the full definition of a pipeline	pipelineName: Name of the pipeline
get_pipeline_execution_logs	Get logs for a pipeline execution	pipelineName: Name of the pipeline executionId: Execution ID
get_pipeline_metrics	Get performance metrics for a pipeline	pipelineName: Name of the pipeline period: Optional metric period in seconds startTime: Optional start time for metrics endTime: Optional end time for metrics

Pipeline Actions and Integrations

Tool Name	Description	Parameters
approve_action	Approve or reject a manual approval action	pipelineName: Name of the pipeline stageName: Name of the stage actionName: Name of the action token: Approval token approved: Boolean indicating approval or rejection comments: Optional comments
retry_stage	Retry a failed stage	pipelineName: Name of the pipeline stageName: Name of the stage pipelineExecutionId: Execution ID
tag_pipeline_resource	Add or update tags for a pipeline resource	pipelineName: Name of the pipeline tags: Array of key-value pairs for tagging
create_pipeline_webhook	Create a webhook for a pipeline	pipelineName: Name of the pipeline webhookName: Name for the webhook targetAction: Target action for the webhook authentication: Authentication type authenticationConfiguration: Optional auth config filters: Optional event filters

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