Integration
Connect Amazon EC2 and Particle
When New Instance fires in Amazon EC2, your agent runs Get ledger instance in Particle, or New device event (instant) in Particle to Start/Stop Instance in Amazon EC2. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Amazon EC2 and Particle to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Amazon EC2 and Particle can do together
From Amazon EC2 to Particle
then Get ledger instance in Particle
From Particle to Amazon EC2
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Amazon EC2 and Particle
Triggers and actions 2 triggers · 7 actions
- New Instance
Triggers when a new EC2 instance is launched in the connected region.
- Find Instance
Finds EC2 instances by instance ID, Name tag or state, and returns their details.
- Start/Stop Instance
Starts a stopped EC2 instance or stops a running one.
- New device event (instant)
Fires when a matching device event is published, delivered via a Particle webhook integration.
- Execute a logic function
Run a configured Particle Logic function and return its result.
- Get ledger instance
Retrieve the current data for a ledger instance (shared cloud/device key-value state).
- List devices
List all devices in your account or product fleet.
- Publish an event
Publish a custom event to the device cloud so other devices or integrations can subscribe to it.
- Set ledger instance data
Update the data stored in a ledger instance.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Amazon EC2 and Particle, answered
What can start an automation from Amazon EC2?
Any of Amazon EC2's 1 trigger in the catalog, including New Instance. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Particle when something happens in Amazon EC2?
Any of Particle's 5 actions, including Execute a logic function, Get ledger instance, List devices and Publish an event. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Particle to Amazon EC2?
Yes. When something happens in Particle, your agent can act in Amazon EC2 too. This page covers both directions: Particle's triggers and Amazon EC2's actions are listed here as well.
Do I have to build a connector for Amazon EC2 or Particle?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Amazon EC2 and Particle without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.