Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/aws/agent-toolkit-for-aws/agents-connectnpx skills add aws/agent-toolkit-for-aws --skill agents-connectgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/agents-connect)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/agents-connect"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/agents-connect.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00216 | $0.06844 |
| Opus 5 | $0.00108 | $0.03422 |
| Sonnet 5 | $0.00043 | $0.01369 |
| Haiku 4.5 | $0.00022 | $0.00684 |
Grade A, and why
agents-connect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
connect
Give your AgentCore agent access to external APIs, tools, and services via the AgentCore Gateway — and control what it can access with Cedar policies.
When to use
- You want your agent to call an external API or MCP server
- You want to expose Lambda functions as agent tools
- You have an OpenAPI spec you want to turn into agent tools
- Your agent needs credentials to call an external service
- You want to restrict which tools your agent can call (Cedar policies)
- You want role-based or amount-based access control on tool calls
- A gateway connection, tool call, or policy authorization is failing
For adding Cedar policies to control tool access, load references/policy.md.
Input
$ARGUMENTS is optional:
/connect # interactive — asks what you're connecting to
/connect mcp # MCP server setup
/connect lambda # Lambda function as tools
/connect openapi # OpenAPI schema as tools
/connect credential # Add a credential for outbound auth
Process
Step 0: Verify CLI version
Run agentcore --version. This skill requires v0.9.0 or later. If the version is older, tell the developer to run agentcore update before proceeding.
Step 1: Read the project
Read agentcore/agentcore.json to understand:
- What framework the project uses
- What gateways and targets are already configured (in the
agentCoreGatewaysarray)
If no project context: Ask what they're trying to connect to and proceed with the appropriate pattern.
Step 2: Identify what they're connecting to
Ask (or infer from $ARGUMENTS):
"What are you connecting your agent to?
- An external MCP server (e.g., a third-party tool provider)
- A Lambda function you've written
- An API with an OpenAPI spec
- An AWS API Gateway REST API
- An external service with no OpenAPI spec, MCP server, or Lambda in front of it — and you can't add one"
Options 1–4 front the service as a Gateway target. This is the default path: the gateway handles outbound auth via its credential providers (so the agent code never sees the secret), the tool becomes discoverable over MCP, and policy engines can authorize or deny calls at the edge. Pick the target type that matches the service.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 557 lines · 216 tokens per session scan A ad5a87cb3f64
agents-connect is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,539 stars, last pushed yesterday), licensed Apache-2.0. It adds 216 tokens to every session and 6,844 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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