Integration
Connect TrainAR to GoodAPI: Plant Trees
When something happens in TrainAR, your agent does the next thing in GoodAPI: Plant Trees. Describe it 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 TrainAR and GoodAPI: Plant Trees to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 TrainAR can start in GoodAPI: Plant Trees
When Task Created in TrainAR
then Add charity donation in GoodAPI: Plant Trees
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 TrainAR and GoodAPI: Plant Trees
Triggers and actions 2 triggers · 16 actions
- Task Created
Triggers when a new operational task is created in TrainAR.
- Task Status Changed
Triggers when the status of an operational task changes in TrainAR.
- Create Task
Creates a new operational task in TrainAR.
- Find Task
Returns up to 100 tasks (newest first) that match the specified status, source, assignee and created-date range.
- Find User
Finds users in your TrainAR account by email address and/or name, optionally narrowed by role and status.
- Update Task Status
Updates the status (and optionally other fields) of an existing task in TrainAR.
- Add charity donation
Makes a charitable donation to a vetted nonprofit, identified by its EIN or nonprofit id. Returns the recorded donation with its id and amount.
- Find charities
Searches the charity directory and returns the matching organizations. Search by all or part of a charity's name, or by its EIN for one exact organization; with neither, it returns a general list of charities.
- Get dashboard link
Returns the web address of your public impact dashboard, showing the trees planted and plastic rescued on your account. Share the link or embed it in your own site.
- Get planting evidence
Returns the verified planting evidence for your whole account: a summary of trees planted, carbon offset and area restored, plus the planting regions with their photo and video evidence.
- Get tree evidence
Returns the proof for one planted tree: where and when it was registered, funded, allocated and planted, together with location, planting crew and photo evidence.
- List planted trees
Returns every tree planting on your account, along with your running totals for all time and for the current month.
- List rescued bottles
Returns the ocean-bound plastic bottle rescues registered on your account, with the running totals, optionally narrowed to one rescue, an attribution label or a date range.
- Plant Trees
Plants the number of trees you ask for and returns confirmation of the planting, including the running totals for your account.
- Refund charity donation
Marks a charity donation as refunded. Donations can normally only be refunded within the current billing cycle.
- Refund plastic bottle rescue
Refunds a previous plastic bottle rescue and returns the refund record along with your remaining rescued bottle total.
- Refund tree registration
Refunds a tree planting you previously made, and returns the refund along with your updated tree total.
- Rescue plastic bottles
Rescues the number of ocean-bound plastic bottles you ask for and returns confirmation of the rescue, including the running totals for your account.
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
TrainAR and GoodAPI: Plant Trees, answered
What can start an automation from TrainAR?
Any of TrainAR's 2 triggers in the catalog, including Task Created and Task Status Changed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in GoodAPI: Plant Trees when something happens in TrainAR?
Any of GoodAPI: Plant Trees's 12 actions, including Add charity donation, Find charities, Get dashboard link and Get planting evidence. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from GoodAPI: Plant Trees to TrainAR?
GoodAPI: Plant Trees has no triggers in the catalog today, so automations start in TrainAR. If you need the other direction, ask: your agent reads GoodAPI: Plant Trees's API documentation and adds it.
Do I have to build a connector for TrainAR or GoodAPI: Plant Trees?
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.
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.