Integration
Connect Trail to Tavily
When Task Completed fires in Trail, your agent runs Create research task in Tavily. 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 Trail and Tavily 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 Trail can start in Tavily
When Task Completed in Trail
then Create research task in Tavily
When Task Completed in Trail
then Get research task status in Tavily
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 Trail and Tavily
Triggers and actions 1 trigger · 18 actions
Trigger
Task CompletedTriggers when a task from the chosen Trail task templates is completed at any site.
Action
Create TaskCreates a task at a Trail site from an automated task template, with an optional due window and description.
Action
Find TasksReturns the Trail tasks due in a date range for the chosen task templates, with their status and completion details.
Action
Get ScoresReturns Trail task-completion scores for each day, week or month in a date range, optionally filtered by site, area, tag or template.
Action
Get TaskReturns one Trail task by its ID, including its checklist, comments and tags.
Action
Get Task ChecklistsReturns the checklist items and their completion status for the given Trail tasks.
Action
Get Task CommentsReturns the comments left on the given Trail tasks.
Action
Get Task Record LogsReturns the record logs (recorded readings and values) for the given Trail tasks.
Action
List AreasReturns all areas (groups of sites) in your Trail account.
Action
List SitesReturns all sites (locations) in your Trail account.
Action
List TagsReturns all tags in your Trail account.
Action
List Task TemplatesReturns all task templates in your Trail account.
Action
CrawlCrawls a website starting from one address and returns the content of the pages it finds.
Action
Create research taskStarts a Tavily research task for a question you supply and returns its ID and status. Use the ID with Get research task status to collect the finished report.
Action
ExtractReads one or more web pages and returns their content as markdown or plain text, plus any addresses that could not be read.
Action
Get research task statusChecks a Tavily research task by its ID and returns its current status, and the finished report with its sources once the task is complete.
Action
Get usageReturns how many Tavily credits have been used this billing cycle, for both the API key and the account, along with the plan limits and a breakdown per feature.
Action
MapMaps a website starting from an address you supply and returns the list of pages found, without pulling their content.
Action
SearchSearches the web for a query you supply and returns ranked results with titles, addresses and snippets, plus an optional written answer.
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
Trail and Tavily, answered
What can start an automation from Trail?
Any of Trail's 1 trigger in the catalog, including Task Completed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Tavily when something happens in Trail?
Any of Tavily's 7 actions, including Create research task, Crawl, Extract and Get research task status. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Tavily to Trail?
Tavily has no triggers in the catalog today, so automations start in Trail. If you need the other direction, ask: your agent reads Tavily's API documentation and adds it.
Do I have to build a connector for Trail or Tavily?
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 Trail and Tavily 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.