cuongdev_mcp_codepipeline_server

cuongdev_mcp_codepipeline_server

by cuongdev
An MCP server that integrates with AWS CodePipeline, providing a standardized interface for managing pipelines through Windsurf and Cascade.

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.

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:

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

  1. Install dependencies:

shell npm install

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

shell cp .env.example .env

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

env 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:

shell npm start

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

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" } } } }

  1. Create the directory if it doesn't exist:

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

  1. 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:
  2. Ensure the server is running on the specified port
  3. Check if the port is blocked by a firewall
  4. AWS credential errors:
  5. Verify your AWS credentials in the .env file
  6. Ensure your IAM user has the necessary permissions
  7. Windsurf not detecting the MCP server:
  8. Check the mcp_config.json file format
  9. Ensure the server URL is correct
  10. 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

About

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.

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mcp_server model_context_protocol aws aws_codepipeline windsurf cascade typescript javascript api_integration pipeline_management

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