Integration
Connect Taplio to Wasi
When Engagement Received fires in Taplio, your agent runs Add Contact in Wasi. 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 Taplio and Wasi 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Taplio can start in Wasi
When Engagement Received in Taplio
then Add Contact in Wasi
When Post Published in Taplio
then Add task in Wasi
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 Taplio and Wasi
Triggers and actions 2 triggers · 22 actions
Trigger
Engagement ReceivedTriggers when someone comments on one of your LinkedIn posts. Taplio refreshes this data a few times per day.
Trigger
Post PublishedTriggers when a post is published to LinkedIn through Taplio.
Action
Create Comment DraftCreates a comment draft on a LinkedIn post in Taplio.
Action
Create Post DraftCreates a LinkedIn post draft in Taplio and returns its ID.
Action
Get PostReturns one Taplio post by its ID.
Action
Get Post DraftReturns one Taplio post draft by its ID.
Action
Like PostQueues a like on a LinkedIn post or comment through Taplio.
Action
List PostsReturns your Taplio posts, optionally filtered by status.
Action
Publish Post DraftPublishes a Taplio post draft to LinkedIn immediately.
Action
Request ConnectionQueues a LinkedIn connection request to a person through Taplio.
Action
Schedule Post DraftSchedules a Taplio post draft to publish on LinkedIn at a later time.
Action
Update Post DraftReplaces the text of a Taplio post draft.
Action
Add ContactRegisters a contact from a client in Wasi, creating the client if they do not already exist, and optionally associates them with a property.
Action
Add propertyCreates a new property listing in Wasi and returns its id.
Action
Add taskCreates a task (call, meeting, visit, etc.) in a Wasi user's schedule.
Action
Delete taskDeletes a task from a user's schedule in Wasi, identified by its id and assigned date.
Action
Get clientReturns a single Wasi client, including contact details, location, client types and tags.
Action
Get propertyReturns a single Wasi property by its id, including its location, prices, images and features.
Action
Get taskReturns one task from the Wasi schedule, including its type, status, assigned user and linked clients and properties.
Action
Get userReturns a Wasi user (employee) by id, including name, email, role and contact details.
Action
List tasksReturns the tasks on a user's Wasi schedule between a start and end date, optionally limited to one task type.
Action
List usersReturns all users (agents and administrators) of your Wasi company, with their email, type and profile details.
Action
Update propertyUpdates an existing Wasi property. Only the fields you fill in are changed.
Action
Update taskUpdates an existing task in the Wasi schedule, changing only the fields you fill in.
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
Taplio and Wasi, answered
What can start an automation from Taplio?
Any of Taplio's 2 triggers in the catalog, including Engagement Received and Post Published. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wasi when something happens in Taplio?
Any of Wasi's 12 actions, including Update property, Update task, Add Contact and Add property. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wasi to Taplio?
Wasi has no triggers in the catalog today, so automations start in Taplio. If you need the other direction, ask: your agent reads Wasi's API documentation and adds it.
Do I have to build a connector for Taplio or Wasi?
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 Taplio and Wasi 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.