Integration
Connect Redash to Teambook
When New Dashboard fires in Redash, your agent runs Add Task in Teambook. 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 Redash and Teambook 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 Redash can start in Teambook
When New Dashboard in Redash
then Add Task in Teambook
When New Query in Redash
then Add Client in Teambook
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 Redash and Teambook
Triggers and actions 2 triggers · 53 actions
Trigger
New DashboardTriggers when a new dashboard is created in your Redash site.
Trigger
New QueryTriggers when a new saved query is created in your Redash site.
Action
Archive DashboardArchives a dashboard.
Action
Archive QueryArchives a saved query so it no longer appears in lists.
Action
Create AlertCreates an alert that fires when a query result column meets a condition.
Action
Create DashboardCreates an empty dashboard with the given name.
Action
Create QueryCreates a saved query on one of your Redash data sources.
Action
Delete AlertDeletes an alert.
Action
Get AlertReturns one alert with its condition and current state.
Action
Get DashboardReturns one dashboard and its widgets.
Action
Get JobReturns the status of a query execution job and its result ID once it finishes.
Action
Get QueryReturns one saved query, including its text, data source and latest result ID.
Action
Get Query Cached ResultReturns the latest cached result rows of a query that has no parameters.
Action
Get Query ResultReturns the rows and columns of a query result.
Action
List AlertsReturns every alert in your Redash site with its state.
Action
List DashboardsReturns a page of the dashboards in your Redash site, optionally filtered by search text.
Action
List Data SourcesReturns the data sources your Redash queries can run on.
Action
List QueriesReturns a page of the saved queries in your Redash site, optionally filtered by search text.
Action
Refresh Query ResultsStarts running a saved query, or returns its cached result when a fresh enough one exists.
Action
Update DashboardUpdates a dashboard's name or tags.
Action
Update QueryUpdates the name, text or description of a saved query.
Action
Add Actual logCreates one or more time-tracking actual logs in a batch.
Action
Add BookingCreates one or more bookings in a batch.
Action
Add ClientCreates a client record.
Action
Add TaskCreates a task, optionally scoped to a project (omit project_id for account-wide task).
Action
Create ProjectCreate a Project inside Teambook
Action
Create UserCreates a teambook User
Action
Deactivate UserDeactivates a Teambook user so they can no longer be booked or sign in, without deleting their history.
Action
Delete Actual logDeletes an actual log by id.
Action
Delete BookingRemoves a single booking from Teambook.
Action
Delete ProjectDeletes a project by id.
Action
Delete TaskDeletes a task from the Teambook account.
Action
Delete UserDeletes a user from the Teambook account.
Action
Get Actual logRetrieve a single Teambook actual log (time entry) by its id.
Action
Get BookingRetrieve a single Teambook booking (a user's assignment to a project on a date for a duration) by its id.
Action
Get ClientRetrieves a single client by id.
Action
Get ProjectRetrieves a single project by id.
Action
Get TaskRetrieves a single task by id.
Action
Get TeamRetrieve a single Teambook team by its id.
Action
Get UserRetrieve a single Teambook user by id.
Action
List Actual logsLists actual logs (timesheet entries), filterable by user_id, project_id, since, range.
Action
List BookingsLists bookings, optionally filtered by team, user, project and date window. Returns the first page of up to 100 bookings.
Action
List ClientsReturns every client in the Teambook account.
Action
List Project capacitiesLists project capacity entries (days reserved per project per month) entered on the Capacity by Project page.
Action
List ProjectsLists all projects in the Teambook account.
Action
List TasksLists all tasks.
Action
List TeamsLists all teams in the Teambook account.
Action
List User capacitiesLists monthly capacity-reservation rows per user, filterable by user_id and since (first day of month).
Action
List UsersLists all users in the Teambook account.
Action
Update Actual logEdits an actual log's project, user, date, duration, task, payroll_item, approved, or comment.
Action
Update BookingUpdates an existing Teambook booking; only the fields you fill in are changed.
Action
Update ClientEdits a client's name, phone_number, or email.
Action
Update ProjectEdits a project's fields (name, code, active, color, kind, estimated, notes, client_id, manager_id, dates, custom_fields).
Action
Update TaskEdits a task's name or project_id.
Action
Update UserEdits a user's first_name, last_name, email, role, billable, time_zone, phone_number, language, or schedule.
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
Redash and Teambook, answered
What can start an automation from Redash?
Any of Redash's 2 triggers in the catalog, including New Dashboard and New Query. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Teambook when something happens in Redash?
Any of Teambook's 34 actions, including Create Project, Create User, Update Actual log and Update Booking. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Teambook to Redash?
Teambook has no triggers in the catalog today, so automations start in Redash. If you need the other direction, ask: your agent reads Teambook's API documentation and adds it.
Do I have to build a connector for Redash or Teambook?
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 Redash and Teambook 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.