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

Clone this repository:

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

Install dependencies:

npm install

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

cp .env.example .env

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

Make sure the server is running:

npm start

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"
      }
    }
  }
}

Create the directory if it doesn't exist:

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

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

Connection refused error:
- Ensure the server is running on the specified port
- Check if the port is blocked by a firewall
AWS credential errors:
- Verify your AWS credentials in the .env file
- Ensure your IAM user has the necessary permissions
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

Integrations