Integration
Connect TimelinesAI to Daytona
When New Incoming Chat fires in TimelinesAI, your agent runs Add sandbox in Daytona. 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 TimelinesAI and Daytona 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 TimelinesAI can start in Daytona
When New Incoming Chat in TimelinesAI
then Add sandbox in Daytona
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 TimelinesAI and Daytona
Triggers and actions 6 triggers · 17 actions
- New Incoming Chat
Triggers when a new incoming chat is created.
- New Outgoing Chat
Triggers when a new outgoing chat is created.
- New Received Message
Triggers when a new incoming message is received.
- New Sent Message
Triggers when a new message is sent.
- New Uploaded File
Triggers when new uploaded_file is created.
- New Whatsapp Account
Triggers when new whatsapp_accounts is created.
- Send Uploaded File to Existing Chat
Sends uploaded file to existing chat.
- Add sandbox
Creates a new Daytona sandbox from a snapshot or build definition, with optional resources, labels, environment variables and network settings.
- Add snapshot
Creates a new snapshot from a container image or Dockerfile, which sandboxes can then be started from.
- Add volume
Creates a new storage volume in your Daytona organization that sandboxes can mount.
- Archive sandbox
Archives a stopped sandbox, moving its filesystem to cheaper storage until it is started again.
- Delete sandbox
Deletes a Daytona sandbox by its ID or name and returns the sandbox record as it is being destroyed.
- Delete snapshot
Deletes a snapshot from your Daytona organization.
- Delete volume
Deletes a Daytona volume. The volume must not be in use by any sandbox.
- Get sandbox
Returns the details of a sandbox, including its state, resources, labels and settings.
- Get snapshot
Returns a snapshot's details, including its state, image, resources and regions, looked up by ID or name.
- Get volume
Returns the details of a volume, including its name, state and timestamps.
- List sandboxes
Returns the sandboxes in your Daytona organization, optionally filtered by name, ID, labels, state, snapshot, region, class, resources, public status and dates, and sorted.
- List snapshots
Returns the snapshots in your Daytona organization, optionally filtered by name or by the sandbox they were created from.
- List volumes
Returns all volumes in your Daytona organization, optionally including deleted ones.
- Start sandbox
Starts a stopped or archived sandbox, or resumes a paused one, and returns the sandbox.
- Stop sandbox
Stops a running sandbox, optionally forcing it to shut down immediately. Returns the sandbox record.
- Update sandbox labels
Replaces all labels on a Daytona sandbox with the key-value pairs you supply.
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
TimelinesAI and Daytona, answered
What can start an automation from TimelinesAI?
Any of TimelinesAI's 6 triggers in the catalog, including New Incoming Chat, New Outgoing Chat, New Received Message and New Sent Message. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Daytona when something happens in TimelinesAI?
Any of Daytona's 16 actions, including Update sandbox labels, Add sandbox, Add snapshot and Add volume. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Daytona to TimelinesAI?
Daytona has no triggers in the catalog today, so automations start in TimelinesAI. If you need the other direction, ask: your agent reads Daytona's API documentation and adds it.
Do I have to build a connector for TimelinesAI or Daytona?
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 TimelinesAI and Daytona 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.