Integration
Connect thanks.io to Tango
When New Order fires in thanks.io, your agent runs Get order in Tango. 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 thanks.io and Tango 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 thanks.io can start in Tango
When New Order in thanks.io
then Get order in Tango
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 thanks.io and Tango
Triggers and actions 3 triggers · 13 actions
- Item Delivered
Triggers when a postcard, letter, notecard, or giftcard is delivered to a recipient.
- New Order
Fires once for each new order placed in your thanks.io account.
- QR Code Scan
Triggers when a QR Code on a postcard, letter, or notecard is scanned. This will also trigger when a giftcard is redeemed.
- Add Recipient
Adds a recipient to your account and to an optional list. Only US or Canadian addresses are accepted. If no/invalid address is specified and a valid email address is, we'll attempt to look up a valid street address using the email address for a fee.
- Delete Recipient
Deletes a Recipient from Mailing List.
- Lookup Address by Email
Returns the mailing address on file for a recipient in a thanks.io mailing list, looked up by their email address. Returns an empty list of matches when no recipient in that list has the email.
- Add account
Creates a new account under a Tango customer, with its display name, contact email and currency.
- Add customer
Creates a new customer (a group that holds reward accounts) on your Tango platform.
- Get account
Returns the details of a specific Tango account, including its current balance, currency, status and contact email.
- Get customer
Returns the details of a specific customer (group) on your Tango platform, including its accounts.
- Get order
Returns the full details of a single Tango reward order, including recipient, amount charged, status and reward credentials.
- List accounts
Returns the accounts on your Tango platform, optionally filtered by number, name, status, email, currency, balance or creation date.
- List brand categories
Returns all brand categories used to group brands in the Tango rewards catalog.
- List catalog items
Returns the brands and reward items in your Tango platform's catalog, optionally filtered by brand, reward, status, type, currency, country or category.
- List orders
Returns the reward orders placed on your Tango platform, optionally filtered by account, customer, date range, recipient, reward, status and more.
- Resend order
Resends the reward delivery for an existing order, optionally to a new email address, mobile number, email template or delivery method.
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
thanks.io and Tango, answered
What can start an automation from thanks.io?
Any of thanks.io's 3 triggers in the catalog, including New Order, Item Delivered and QR Code Scan. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tango when something happens in thanks.io?
Any of Tango's 10 actions, including Add account, Add customer, Get account and Get customer. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tango to thanks.io?
Tango has no triggers in the catalog today, so automations start in thanks.io. If you need the other direction, ask: your agent reads Tango's API documentation and adds it.
Do I have to build a connector for thanks.io or Tango?
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 thanks.io and Tango 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.