AWS CodePipeline MCP Server
AWS CodePipeline is a fully managed continuous delivery service provided by Amazon Web Services that automates the build, test, and deployment phases of your release process every time there is a code change, based on the release model you define.
Quick Start Summary
The AWS CodePipeline MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the AWS CodePipeline API through natural language. It exposes 10 API endpoints as callable tools, such as AcknowledgeJob, AcknowledgeThirdPartyJob, CreateCustomActionType, and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/amazonaws-com-codepipeline. This integration is sourced from the auto AWS CodePipeline OpenAPI specification (v2015-07-09) and has a quality score of 46/99 (fair documentation coverage).
Server Details
- Category
- Cloud Infrastructure
- Authentication
- None
- Endpoints
- 10 operations
- Transport
- STDIO
- Spec Version
- v2015-07-09
- Install Command
npx -y @mcp/amazonaws-com-codepipeline
Environment Variables
AWS_CODEPIPELINE_API_KEYExample: your_aws_codepipeline_api_key
Top Endpoints
/#X-Amz-Target=CodePipeline_20150709.AcknowledgeJobAcknowledgeJob
/#X-Amz-Target=CodePipeline_20150709.AcknowledgeThirdPartyJobAcknowledgeThirdPartyJob
/#X-Amz-Target=CodePipeline_20150709.CreateCustomActionTypeCreateCustomActionType
/#X-Amz-Target=CodePipeline_20150709.CreatePipelineCreatePipeline
/#X-Amz-Target=CodePipeline_20150709.DeleteCustomActionTypeDeleteCustomActionType
One-Click Install
Copy the snippet for your MCP client and paste it in — zero editing required.
Claude Desktop
Add to claude_desktop_config.json
{
"mcpServers": {
"amazonaws-com-codepipeline": {
"command": "npx",
"args": [
"-y",
"@mcp/amazonaws-com-codepipeline"
],
"env": {
"AWS_CODEPIPELINE_API_KEY": "your_aws_codepipeline_api_key"
}
}
}
}Cursor
Settings → MCP Servers → Add
{
"mcpServers": {
"amazonaws-com-codepipeline": {
"url": "https://mcpbridge.org/config/amazonaws-com-codepipeline.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code
Use with MCP extension
{
"mcpServers": {
"amazonaws-com-codepipeline": {
"url": "https://mcpbridge.org/config/amazonaws-com-codepipeline.json"
}
}
}Endpoints Explorer
Search and browse the 10 operations supported by this server.
Multi-Language Code Examples
Executable code snippets for calling AWS CodePipeline endpoints in curl, TypeScript, or Python.
curl -X POST "https://api.apis.guru/v2/specs/amazonaws.com/codepipeline/2015-07-09/#X-Amz-Target=CodePipeline_20150709.AcknowledgeJob" \ -H "Content-Type: application/json" \ # No auth required
Manual Configuration
Directly add this block to your JSON config file, or use the hosted config registry URL.
{
"mcpServers": {
"amazonaws-com-codepipeline": {
"command": "npx",
"args": ["-y","@mcp/amazonaws-com-codepipeline"],
"env": {
"AWS_CODEPIPELINE_API_KEY": "your_aws_codepipeline_api_key"
}
}
}
}Authentication Details
No authentication required. This MCP server runs out-of-the-box.
Documentation Links
Error Handling & HTTP Status Code Matrix
Common status codes, error causes, and resolution steps when invoking AWS CodePipeline endpoints.
400 Bad RequestCause: Malformed payload parameters or missing required fields.
Resolution: Verify request schema in Endpoints tab before calling tool.
401 UnauthorizedCause: Missing or invalid API key credentials.
Resolution: Set environment variable in MCP client config under env object.
403 ForbiddenCause: Insufficient scope permissions for requested resource.
Resolution: Verify key permissions in developer dashboard.
404 Not FoundCause: Resource URL path or requested entity ID does not exist.
Resolution: Check path variables and parameters.
429 Rate Limit ExceededCause: API rate limit quota exceeded.
Resolution: Implement exponential backoff retry in tool call.
500 Internal ErrorCause: Upstream server runtime fault.
Resolution: Inspect STDIO stderr output for log trace.
Quality Score
Checked against our protocol-compliance rules.
Specification Version: v2015-07-09
Page compiled on: June 13, 2026
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CreatePipeline, DeleteWebhook, and EnableStageTransition become actionable tools the AI can invoke, making it a true collaborator in maintaining and evolving the delivery infrastructure.ListPipelineExecutions and GetPipelineState to provide a diagnostic summary. The AI could be tasked with "Create a new pipeline for the authentication microservice that uses our standard staging and production deployment actions," prompting it to dynamically assemble and call CreatePipeline with the appropriate stage and action definitions. Another task could be "Automatically enable manual approval gates in the production stage for all pipelines owned by the 'fintech' team," which would involve the AI first discovering relevant pipelines via search, then iterating through them to call EnableStageTransition with the appropriate configuration. It could also manage integrations, such as "Update the webhook for repository 'X' to trigger the build pipeline on pushes to the 'release' branch," using UpdateWebhook and DeregisterWebhookWithThirdParty for synchronization.codepipeline:ListPipelines for discovery or codepipeline:CreatePipeline for creation. Secure management of AWS access keys or the use of IAM roles for service accounts (in a cloud environment) is paramount. It is essential to never expose long-term credentials in client-side configurations. Furthermore, all API interactions should be logged via AWS CloudTrail for a full audit trail, and sensitive data within pipeline variables or artifact locations must be encrypted using AWS KMS to prevent unauthorized exposure during the AI-assisted orchestration process.Similar APIs
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