Automated agent evaluation with Amazon Bedrock AgentCore and GitHub Actions
Amazon Web Services Mahsa Paknezhad
Amazon Bedrock AgentCore is used with a GitHub Actions pipeline to deploy an AI agent plus an OAuth-protected MCP server, evaluate agent sessions with the AgentCore Evaluate API, and fail PRs when scores regress. The quality gate is set to require at least 0.8 out of 1.0 for overall evaluation before merges proceed. CI can authenticate headlessly by using an M2M token flow that bypasses role checks in the MCP layer while preserving role enforcement for interactive user tokens, so PRs are blocked based on the current code changes.
Why it matters
Wire Amazon Bedrock AgentCore Evaluations into a GitHub Actions pipeline: deploy an AI agent and an OAuth-protected MCP server to AgentCore runtime, invoke the agent with test prompts, score the responses, and automatically block pull requests when agent behavior regresses.