Amazon Web Services MCP connector
Connect Amazon Web Services to Elaichi and Claude, ChatGPT, Cursor or the Elaichi Agent can list your AWS accounts, IAM users, roles, policies, Security Hub findings and GuardDuty detectors, each request running inside the connected access and logged.
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How it connects. Connects with an API key. The credential goes into a vault nobody reads back.
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One address. https://api.elaichi.ai/mcp, the same for every user.
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Their own access. An agent never gets more than the person it acts for.
How to connect
How to connect Amazon Web Services to Claude, ChatGPT or Cursor
Two steps, about a minute.
In Elaichi
Connect Amazon Web Services once
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Open Connections, choose Add connection, and pick Amazon Web Services.
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Optionally set Share with to give a team access, then press Connect.
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Paste an Amazon Web Services API key. One person generates a token in Amazon Web Services and pastes it once. Everyone else works through Share with, and never sees it.
The credential is vaulted. Nobody reads it back, not even the AI.
Add connection
Choose a connector.
Egnyte
In your AI client
Point it at one endpoint
Everyone in the organization uses the same address, and each person only ever reaches what their own account allows.
Amazon Web Services MCP connector for Claude
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1
Open Customize, then Connectors.
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2
Press Add.
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3
Name it, paste the MCP server URL, then Continue.
https://api.elaichi.ai/mcp -
4
Sign in and approve.
On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.
Amazon Web Services MCP connector for ChatGPT
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1
Open Plugins, then press the + button.
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2
Name it and paste the endpoint into Server URL.
https://api.elaichi.ai/mcp -
3
Leave Authentication on OAuth, then tick the risk acknowledgement.
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4
Press Create, then sign in and approve.
Works on the web today. The plugin directory lives at chatgpt.com/plugins.
Amazon Web Services MCP connector for Cursor
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1
Open
~/.cursor/mcp.json. -
2
Add the endpoint under
mcpServers.https://api.elaichi.ai/mcp -
3
Reload Cursor, then sign in and approve.
~/.cursor/mcp.json
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
Set up per machine, so repeat it on each computer you work from.
Connect Amazon Web Services to any MCP client
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1
Add the endpoint as a remote MCP server.
https://api.elaichi.ai/mcp -
2
Sign in and approve.
{
"mcpServers": {
"elaichi": {
"url": "https://api.elaichi.ai/mcp"
}
}
}
The Elaichi Agent already has these tools, with nothing to set up.
Use cases
What teams do with Amazon Web Services through Elaichi
Every one of these runs inside the access the person already has, and lands in the same audit log.
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Security
Triage Security Hub findings before standup
Ask for the open Security Hub findings across your Amazon Web Services accounts, grouped by severity, and get a short list of what needs a person today.
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IT
Find users without MFA or with stale keys
Pull the IAM users, their access keys and their MFA devices in one ask, then chase the people who still sign in with a password alone.
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Compliance
Collect evidence for the quarterly audit
Generate a fresh credential report, read the account password policy and list the enabled Security Hub standards, then hand the auditor exactly what they asked for.
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Cloud platform
Map the organization and its policies
List every account, root and organizational unit in Amazon Web Services Organizations, and see which policies are attached where before you move a workload.
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Finance
Keep the account inventory current for chargeback
List all Amazon Web Services accounts in the organization with their owning unit so cost allocation matches how the business is actually structured.
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Internal audit
Review how people get into AWS
List the SAML and OIDC identity providers and the IAM roles they can assume, and confirm that federated sign-in is set up the way the policy says.
Try asking
- “List IAM users without an MFA device”
- “Show high severity Security Hub findings from this week”
- “Which accounts in our organization have no GuardDuty detector”
AI tools
Amazon Web Services tools for your AI agents
90 tools are ready to call through Elaichi's MCP endpoint the moment you connect Amazon Web Services, governed by the same roles, restrictions, and audit log as everything else in Elaichi.
No tools match your search.
See it in Elaichi
What connecting Amazon Web Services gets you
6 screens from the product, each doing one job for your Amazon Web Services account.
The agent
Ask about your Amazon Web Services accounts plainly.
Get answers on IAM users, Security Hub findings and GuardDuty detectors from live records.
- accounts
- users
- roles
- findings
Ask Elaichi to work across your apps.
List IAM users without an MFA device
Show high severity Security Hub findings from this week
Which accounts in our organization have no GuardDuty detector
Also runs in Claude, ChatGPT or Cursor
MCP clients
One endpoint for Claude, ChatGPT and Cursor.
Connect Amazon Web Services once and every MCP client uses it, no SDK, no shared key.
Copy the endpoint
Tool catalog
90 Amazon Web Services tools, no code required.
Organizations accounts, IAM users, roles, policies, Security Hub findings and GuardDuty detectors, cataloged.
- List all Amazon Web Services organizations accounts
- List all Amazon Web Services organizations roots
- List all Amazon Web Services organizations ous
- List all Amazon Web Services organizations policies
Toolboxes
Every team gets its own toolbox.
Security works Security Hub findings, IT works IAM users, Finance sees the account list.
- Security
- IT
- Compliance
- Cloud platform
Shared connections
Teammates work through a connection, never a key.
One person connects Amazon Web Services, shares it, and nobody else handles the API key.
- Production
- Sandbox
- Security
- Platform EMEA
Audit log
Know who listed which IAM role, and when.
When, who, what happened, type and resource, for every Amazon Web Services request.
- When
- Who
- What happened
- Type
Launching soon
From answering questions to doing the work
A person no longer has to ask. A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations and live dashboards are launching soon, on the Black plan.
Automations
A schedule runs the security review for you.
Findings are fetched, grouped, drafted into a digest, approved by a person, then posted back.
Amazon Web Services digest
Run 418 · started 2 minutes ago · on behalf of Emma Laurent
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Schedule
Every weekday at 08:00
0.2s -
✓
Fetch accounts
Amazon Web Services
1.4s -
✓
Group by owner
Transform
0.1s -
✓
Draft the digest
Agent step
Ran with 4 tools, returned a structured summary
6.2s -
Approve the digest
Needs approval
Assigned to Michael Brennan
Approve Deny -
Post the digest
Amazon Web Services
Queued
Collections and dashboards
Security posture numbers, computed, not asked for.
Four metrics, 14 days of new findings and a breakdown by team, refreshed on schedule.
Amazon Web Services health
Refreshed 4 minutes ago · every 15 minutes · from the accounts collection
Accounts
1,284 ↓ 12%
Users
96 ↓ 8%
Needs attention
3 ↑ 2
Updated this week
412 ↑ 9%
Accounts created
Last 14 days
By team
Share of activity
Production 34%
Sandbox 27%
Security 21%
Platform EMEA 18%
FAQ
Frequently asked questions
How do I connect Amazon Web Services to Claude?
Two steps. In Elaichi, choose Amazon Web Services, paste the API key from your AWS account, and the connection is live, with no OAuth application to register and no client ID or secret to generate. Then open Claude, go to Customize, then Connectors, then Add, and paste https://api.elaichi.ai/mcp as the endpoint. Claude asks you to sign in to Elaichi, and from then on it can work with your Amazon Web Services accounts, IAM and Security Hub.
Does Amazon Web Services work with ChatGPT and Cursor as well as Claude?
Yes. Once Amazon Web Services is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, any other MCP client and the Elaichi Agent. You connect Amazon Web Services once and every client you use picks it up.
What can an AI agent actually do with my Amazon Web Services data?
With Amazon Web Services connected, an agent can list the accounts, roots and organizational units in your organization, read IAM users, roles, policies, access keys and MFA devices, generate and read a credential report, and pull Security Hub findings, enabled standards and controls along with GuardDuty detectors. That means questions like "which IAM users have no MFA device" or "show me this week's high severity findings" get answered from live records. Short, concrete asks work better than long sentences.
Does connecting Amazon Web Services give the AI access to every account and IAM permission?
No. The AI can only reach what the connected Amazon Web Services API key is allowed to reach, and each person still signs in to Elaichi as themselves. Elaichi can then narrow that access further, by team or by action, but it can never widen what the key itself is permitted to do in Amazon Web Services.
Can I stop an agent from changing things in Amazon Web Services?
Yes. This Amazon Web Services connector is almost entirely read-only, and the one action that creates something, generating a credential report, can be restricted on its own. A restricted action is never advertised to Claude, ChatGPT, Cursor or any other client, so no prompt, however worded, can reach it.
What happens to an Amazon Web Services connection when someone leaves?
Offboarding a person in Elaichi ends their access to Amazon Web Services through every client at once. If they connected a shared Amazon Web Services account, that connection keeps working for everyone it was shared with. Disconnecting Amazon Web Services once in Elaichi removes it from Claude, ChatGPT, Cursor and every other client at the same time.
Does the Amazon Web Services MCP connector work with Gemini, Codex, Claude Code or other MCP clients?
Yes. Amazon Web Services is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.
Put Amazon Web Services in front of your team
14 days on Gold, no credit card. Connect it once and pick what each team can call.
- Works with
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and any other MCP client, or the Elaichi Agent.
- When the trial ends
- Nothing is deleted. Connections, roles and the audit log stay where they are, so subscribing picks up exactly where you left off.