Integration
Connect Linkhut to Thareja
When New bookmark fires in Linkhut, your agent runs Add comment to task in Thareja. 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 Linkhut and Thareja 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 Linkhut can start in Thareja
When New bookmark in Linkhut
then Add comment to task in Thareja
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 Linkhut and Thareja
Triggers and actions 1 trigger · 13 actions
- New bookmark
Triggered when a new bookmark is added.
- Add bookmark
Add a new bookmark to Linkhut.
- Delete bookmark
Deletes a bookmark from your Linkhut account, identified by its URL.
- Delete tag
Deletes a tag from every bookmark it is attached to.
- Get bookmark
Get bookmark(s) by url, hashes, tag or date.
- List tags
Returns every tag in the Linkhut account with the number of bookmarks using it.
- Update tag
Rename an existing tag on all of your bookmarks.
- Add client
Creates a new client in Thareja with contact details, billing address and billing terms.
- Add comment to task
Adds a comment to a Thareja task and notifies the relevant team members.
- Add project
Creates a new project in your Thareja workspace with a unique name and key.
- Add task
Creates a new task in a Thareja project, with optional description, due date, assignee, priority and sprints.
- Add team
Creates a new team in Thareja with the given name.
- List teams
Returns all the teams the connected user has access to.
- Update task assignee
Changes who a Thareja task is assigned to, with an optional comment about the change. Returns the updated task.
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
More from Linkhut
Linkhut to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
Linkhut to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
Linkhut to MailchimpMailchimp marketing automation and email platform.
Linkhut to StripeStripe is a payment processing platform for online businesses.
Linkhut to ShopifyShopify is a commerce platform for online stores and retail point-of-sale.
Linkhut to QuickBooks OnlineQuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...
More into Thareja
HubSpot to TharejaHubSpot is your all-in-one stop for all of your marketing software needs.
Google Sheets to TharejaGoogle Sheets
Gmail to TharejaGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
Google Calendar to TharejaGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
Questions
Linkhut and Thareja, answered
What can start an automation from Linkhut?
Any of Linkhut's 1 trigger in the catalog, including New bookmark. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Thareja when something happens in Linkhut?
Any of Thareja's 7 actions, including Update task assignee, Add client, Add comment to task and Add project. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Thareja to Linkhut?
Thareja has no triggers in the catalog today, so automations start in Linkhut. If you need the other direction, ask: your agent reads Thareja's API documentation and adds it.
Do I have to build a connector for Linkhut or Thareja?
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 Linkhut and Thareja 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.