Integration
Connect Dastra and TESS
When New Task fires in Dastra, your agent runs Create Memory in TESS, or New Memory in TESS to Create a Task in Dastra. 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 Dastra and TESS 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 Dastra and TESS can do together
From Dastra to TESS
When New Task in Dastra
then Create Memory in TESS
When New Task in Dastra
then Create Memory Collection in TESS
From TESS to Dastra
When New Memory in TESS
then Create a Task in Dastra
When New Memory in TESS
then Update task in Dastra
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 Dastra and TESS
Triggers and actions 2 triggers · 31 actions
Trigger
New TaskTriggers when a new task is created in the chosen Dastra workspace.
Action
Add assetCreates an asset (software, building, network, data store and so on) in a Dastra workspace and returns the new asset record.
Action
Add data processingCreates a new data processing activity in your Dastra record of processing activities, in the organizational unit you choose.
Action
Attach an Actor to a Data ProcessingLinks one or more actors (vendors, internal services, third parties, data controllers) to a data processing activity in your Dastra register, as recipients, data controllers, stakeholders or referents.
Action
Create an ActorCreates an actor (a vendor, partner, processor or other third party) in a Dastra workspace and returns the new actor record.
Action
Create a TaskCreates a task in a Dastra workspace, with its priority, dates, assignee, project and links to other Dastra records.
Action
Delete actorDeletes an actor (a controller, processor or other third party) from a Dastra workspace.
Action
Delete taskDeletes a task from a Dastra workspace.
Action
Get actorReturns one actor (vendor, processor, controller or other third party) from a Dastra workspace by its id, including its contact details, tags, contracts and custom field values.
Action
Get data processingReturns a data processing activity from your Dastra register of processing activities, including its purposes, recipients, data subject rights and custom fields.
Action
Get taskReturns a single Dastra task by its id, including its state, priority, deadline, assignee and custom field values.
Action
List assetsReturns the assets (software, buildings, networks, data stores and other resources) in a Dastra workspace, optionally filtered by type, state, owner, tag, organizational unit or a search text.
Action
List tasksReturns the tasks in a Dastra workspace, optionally filtered by state, priority, assignee, project, linked object, dates or search text.
Action
Search ActorReturns the actors (vendors, data controllers, third parties and other organizations or people) in a Dastra workspace that match the search text and filters.
Action
Search Data ProcessingSearches the data processing activities in a Dastra workspace by text and optional filters, returning every matching activity with its full record.
Action
Update actorUpdates an existing actor (vendor, partner or person) in a Dastra workspace. Fields you leave blank keep their current values.
Action
Update data processingUpdates an existing data processing activity in a Dastra workspace, changing only the fields you fill in, and returns the updated record.
Action
Update taskUpdates an existing Dastra task. Fields you leave blank keep their current values.
Trigger
New MemoryTriggers when a new memory is added in Tess, optionally only in one collection.
Action
Create MemoryCreates a Tess memory, optionally inside a memory collection.
Action
Create Memory CollectionCreates a Tess memory collection.
Action
Delete FileDeletes a file uploaded to Tess.
Action
Delete MemoryDeletes a Tess memory.
Action
Execute an AgentSends a message to a Tess agent, waits for it to finish, and returns the generated content.
Action
Execute Long Running AgentStarts a Tess agent without waiting and returns the execution response ID to fetch the result later.
Action
Find Agent DetailsReturns one Tess agent's details, including the input fields it asks for when executed.
Action
Find Agent Execution ResponseReturns the status and generated content of one agent execution.
Action
Find AgentsSearches your Tess agents by text or type and returns their details.
Action
Get FileReturns one file uploaded to Tess.
Action
List FilesLists files uploaded to Tess, newest first by default.
Action
List MemoriesLists Tess memories, optionally only those in one collection.
Action
List Memory CollectionsLists Tess memory collections, optionally filtered by name.
Action
Update MemoryUpdates the text or collection of a Tess memory.
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
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Questions
Dastra and TESS, answered
What can start an automation from Dastra?
Any of Dastra's 1 trigger in the catalog, including New Task. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TESS when something happens in Dastra?
Any of TESS's 14 actions, including Create Memory, Create Memory Collection, Update Memory and Execute an Agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TESS to Dastra?
Yes. When something happens in TESS, your agent can act in Dastra too. This page covers both directions: TESS's triggers and Dastra's actions are listed here as well.
Do I have to build a connector for Dastra or TESS?
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 Dastra and TESS 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.