Integration
Connect Amazon S3 to Expensify
When New Bucket fires in Amazon S3, your agent runs Add policy in Expensify. 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 S3 and Expensify 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 S3 can start in Expensify
then Add policy in Expensify
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 S3 and Expensify
Triggers and actions 2 triggers · 14 actions
- New Bucket
Triggers when a new bucket is created in the connected Amazon S3 account.
- New or Updated File
Triggers when a file is added to, or changed in, an Amazon S3 bucket, optionally only under a folder prefix.
- Create Bucket
Creates a new Amazon S3 bucket in the connected account's region.
- Create Text Object
Creates a text file in an Amazon S3 bucket from content you supply, replacing any file already at that path.
- Get Object
Returns a file (object) stored in an Amazon S3 bucket, with its text content, type, size and last-modified time.
- Upload File
Uploads a file from a URL, such as an attachment from an earlier step, into an Amazon S3 bucket.
- Add policy
/Integration-Server/ExpensifyIntegrations type=create, inputSettings.type=policy (policyName, plan, owner). Creates a new policy/workspace.
- Create Expense Report
Only for Expensify Premium users! Creates a new expense report.
- Create Single Expense
Creates a single expense item.
- Export Report to PDF
Given a Report ID (from a trigger), export that report to a PDF document.
- Find Report
Retrieves a specific expense report, using the report's number.
- Get policy
/Integration-Server/ExpensifyIntegrations type=get, inputSettings.type=policy, policyIDList. Returns policy details (categories, tags, employees, report fields).
- List policies
/Integration-Server/ExpensifyIntegrations type=get, inputSettings.type=policyList. Lists policies (workspaces) accessible to the user.
- Update policy categories
/Integration-Server/ExpensifyIntegrations type=update, inputSettings.type=policy, categories payload. Replaces/updates categories on a policy.
- Update policy employees
/Integration-Server/ExpensifyIntegrations type=update, inputSettings.type=employees (policyID, file CSV/JSON of employees). Adds or updates employees and approval chain on a policy.
- Update policy tags
/Integration-Server/ExpensifyIntegrations type=update, inputSettings.type=policy, tags payload. Updates tags on a policy.
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 S3 and Expensify, answered
What can start an automation from Amazon S3?
Any of Amazon S3's 2 triggers in the catalog, including New Bucket and New or Updated File. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Expensify when something happens in Amazon S3?
Any of Expensify's 10 actions, including Create Expense Report, Create Single Expense, Update policy categories and Update policy employees. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Expensify to Amazon S3?
Expensify has no triggers in the catalog today, so automations start in Amazon S3. If you need the other direction, ask: your agent reads Expensify's API documentation and adds it.
Do I have to build a connector for Amazon S3 or Expensify?
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 S3 and Expensify 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.