Agent Plugins Marketplace
← All plugins

aws-agentcore-engineer

v0.1.0

Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore: Strands/LangGraph scaffolding, Gateway and MCP tools, memory, Cedar policies, evaluations, trace debugging, and production hardening.

CodexClaude CodeAgent Plugins9 Skills2 MCP serversstdioStreamable HTTP

By TalkOps AILicense: Apache-2.00 GitHub starsUpdated last week

Directory evidence

Runtimes
Codex, Claude Code, and Agent Plugins
Parsed components
11 skill or MCP entries
Source updated
Oct 10, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install aws-agentcore-engineer for Codex and Claude Code

Installs for the current user
codex plugin marketplace add talkops-ai/devops-plugins
codex plugin marketplace upgrade talkops-devops-plugins
codex plugin add aws-agentcore-engineer@talkops-devops-plugins

Paste and run these commands in a terminal with Codex. They add and refresh the talkops-devops-plugins catalog, then install this plugin.

Compatibility: the page URL and API slug “aws-agentcore-engineer” remain stable.

  • Codex: aws-agentcore-engineer@agent-plugin-marketplace → aws-agentcore-engineer@talkops-devops-plugins

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/talkops-ai/devops-plugins

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/agent-plugins/aws-agentcore-engineer/.

Plugin files

plugins/agent-plugins/aws-agentcore-engineer/
├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
├── plugin.json
├── skills/agents-build/SKILL.md
├── skills/agents-connect/SKILL.md
├── skills/agents-debug/SKILL.md
├── skills/agents-deploy/SKILL.md
├── skills/agents-get-started/SKILL.md
├── skills/agents-harden/SKILL.md
├── skills/agents-optimize/SKILL.md
├── skills/agents-pay/SKILL.md
├── skills/signing-in-to-aws/SKILL.md
└── .mcp.json

Included Skills9

agents-buildskills/agents-build/SKILL.md

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

agents-connectskills/agents-connect/SKILL.md

Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.

agents-debugskills/agents-debug/SKILL.md

Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.

agents-deployskills/agents-deploy/SKILL.md

Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.

agents-get-startedskills/agents-get-started/SKILL.md

Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: "build an agent", "create an agent", "get started", "new project", "agentcore create", "which framework", "Strands vs LangGraph", "hello world agent", "first agent", "create MCP server", "host MCP server", "agentcore dev", "dev server", "what port", "local development". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.

agents-hardenskills/agents-harden/SKILL.md

Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: "production checklist", "harden agent", "production ready", "secure agent", "inbound auth", "going live", "cold start optimization", "session lifecycle", "StopRuntimeSession", "quota", "throttling", "maxVms", "rate limit", "security audit of outbound API calls", "gateway target audit for production", "restrict who can call", "lock down endpoint", "only our app can call". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.

agents-optimizeskills/agents-optimize/SKILL.md

Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.

agents-payskills/agents-pay/SKILL.md

Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits. Covers payment setup, policy, session budgets, and troubleshooting. Triggers on: "my agent hit a 402 while calling an API", "a tool call returned 402 Payment Required", "my agent needs to pay for x402-protected content", "let the agent pay for content, capped at $5 per session", "set a spend limit for the agent", "ProcessPayment failed", or "why did my agent refuse to pay". Not for BUILDING payment capability for end users, including wallets and framework middleware; use agents-build and references/payments.md. For non-paid APIs via Gateway use agents-connect. For inbound auth use agents-harden. For project scaffolding use agents-get-started.

signing-in-to-awsskills/signing-in-to-aws/SKILL.md

Gets AWS credentials for CLI/SDK access via `aws login`. Activates when a developer needs to authenticate to AWS for local development, when an AWS operation fails due to missing or expired credentials, or when someone asks about setting up AWS access. Triggers: "set up AWS", "configure AWS", "aws login", "get credentials", "authenticate", "session expired", "token expired", "no credentials", "AccessDeniedException" with no configured credentials.

MCP servers2

agentcorestdio
command
uvx
args
awslabs.amazon-bedrock-agentcore-mcp-server@latest
env.FASTMCP_LOG_LEVEL
ERROR
awsknowledgeStreamable HTTP
url
https://knowledge-mcp.global.api.aws

Plugin manifests3

plugins/agent-plugins/aws-agentcore-engineer/.codex-plugin/plugin.json
{
  "name": "aws-agentcore-engineer",
  "version": "0.1.0",
  "description": "Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore: Strands/LangGraph scaffolding, Gateway and MCP tools, memory, Cedar policies, evaluations, trace debugging, and production hardening.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "agentcore",
    "bedrock",
    "ai-agents",
    "strands",
    "langgraph",
    "mcp",
    "a2a",
    "cedar"
  ],
  "skills": "./skills/",
  "mcpServers": "./mcp.json",
  "hooks": "./hooks/hooks.json",
  "interface": {
    "displayName": "AWS AgentCore Engineer",
    "shortDescription": "Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore",
    "longDescription": "Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore: Strands/LangGraph scaffolding, Gateway and MCP tools, memory, Cedar policies, evaluations, trace debugging, and production hardening.",
    "developerName": "TalkOps AI",
    "category": "Cloud",
    "capabilities": [
      "Read",
      "Write"
    ],
    "websiteURL": "https://github.com/talkops-ai/devops-plugins/tree/main/plugins/agent-plugins/aws-agentcore-engineer",
    "brandColor": "#FF9900"
  }
}
plugins/agent-plugins/aws-agentcore-engineer/.claude-plugin/plugin.json
{
  "name": "aws-agentcore-engineer",
  "version": "0.1.0",
  "description": "Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore: Strands/LangGraph scaffolding, Gateway and MCP tools, memory, Cedar policies, evaluations, trace debugging, and production hardening.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "agentcore",
    "bedrock",
    "ai-agents",
    "strands",
    "langgraph",
    "mcp",
    "a2a",
    "cedar"
  ]
}
plugins/agent-plugins/aws-agentcore-engineer/plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "aws-agentcore-engineer",
  "version": "0.1.0",
  "description": "Builds, deploys, and operates AI agents on Amazon Bedrock AgentCore: Strands/LangGraph scaffolding, Gateway and MCP tools, memory, Cedar policies, evaluations, trace debugging, and production hardening.",
  "author": {
    "name": "TalkOps AI"
  },
  "homepage": "https://github.com/talkops-ai/devops-plugins",
  "repository": "https://github.com/talkops-ai/devops-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "agentcore",
    "bedrock",
    "ai-agents",
    "strands",
    "langgraph",
    "mcp",
    "a2a",
    "cedar"
  ]
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[aws-agentcore-engineer on Agent Plugins Marketplace](https://pluginsmp.com/plugins/aws-agentcore-engineer)