ls. ## 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: ```bash # Run with more verbose logging DEBUG=* npm start ``` ## Examples ### Creating a Webhook for GitHub Integration ```json { "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 ```json { "pipelineName": "my-pipeline", "period": 86400, "startTime": "2025-03-10T00:00:00Z", "endTime": "2025-03-17T23:59:59Z" } ``` ## License ISC2a:T70c,## What is AWS CodePipeline MCP Server? AWS CodePipeline MCP 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. ## How to use AWS CodePipeline MCP Server? To use the server, clone the repository, install dependencies, configure your AWS credentials in a `.env` file, and start the server. You can then interact with AWS CodePipeline using natural

AWS CodePipeline MCP Server

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