Integration
Connect TESS and Trail
When New Memory fires in TESS, your agent runs Create Task in Trail, or Task Completed in Trail to Create Memory in TESS. 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 TESS and Trail 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 TESS and Trail can do together
From TESS to Trail
When New Memory in TESS
then Create Task in Trail
From Trail to TESS
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 TESS and Trail
Triggers and actions 2 triggers · 25 actions
- New Memory
Triggers when a new memory is added in Tess, optionally only in one collection.
- Create Memory
Creates a Tess memory, optionally inside a memory collection.
- Create Memory Collection
Creates a Tess memory collection.
- Delete File
Deletes a file uploaded to Tess.
- Delete Memory
Deletes a Tess memory.
- Execute an Agent
Sends a message to a Tess agent, waits for it to finish, and returns the generated content.
- Execute Long Running Agent
Starts a Tess agent without waiting and returns the execution response ID to fetch the result later.
- Find Agent Details
Returns one Tess agent's details, including the input fields it asks for when executed.
- Find Agent Execution Response
Returns the status and generated content of one agent execution.
- Find Agents
Searches your Tess agents by text or type and returns their details.
- Get File
Returns one file uploaded to Tess.
- List Files
Lists files uploaded to Tess, newest first by default.
- List Memories
Lists Tess memories, optionally only those in one collection.
- List Memory Collections
Lists Tess memory collections, optionally filtered by name.
- Update Memory
Updates the text or collection of a Tess memory.
- Task Completed
Triggers when a task from the chosen Trail task templates is completed at any site.
- Create Task
Creates a task at a Trail site from an automated task template, with an optional due window and description.
- Find Tasks
Returns the Trail tasks due in a date range for the chosen task templates, with their status and completion details.
- Get Scores
Returns Trail task-completion scores for each day, week or month in a date range, optionally filtered by site, area, tag or template.
- Get Task
Returns one Trail task by its ID, including its checklist, comments and tags.
- Get Task Checklists
Returns the checklist items and their completion status for the given Trail tasks.
- Get Task Comments
Returns the comments left on the given Trail tasks.
- Get Task Record Logs
Returns the record logs (recorded readings and values) for the given Trail tasks.
- List Areas
Returns all areas (groups of sites) in your Trail account.
- List Sites
Returns all sites (locations) in your Trail account.
- List Tags
Returns all tags in your Trail account.
- List Task Templates
Returns all task templates in your Trail 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
TESS and Trail, answered
What can start an automation from TESS?
Any of TESS's 1 trigger in the catalog, including New Memory. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Trail when something happens in TESS?
Any of Trail's 11 actions, including Create Task, Find Tasks, Get Scores and Get Task. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Trail to TESS?
Yes. When something happens in Trail, your agent can act in TESS too. This page covers both directions: Trail's triggers and TESS's actions are listed here as well.
Do I have to build a connector for TESS or Trail?
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 TESS and Trail 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.