Integration
Connect Redash to Markup AI
When New Dashboard fires in Redash, your agent runs Add domain in Markup AI. 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 Markup AI 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 Markup AI
When New Dashboard in Redash
then Add domain in Markup AI
When New Query in Redash
then Add term in Markup AI
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 Markup AI
Triggers and actions 2 triggers · 41 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 domainCreate a brand-terms domain.
Action
Add termAdds a preferred or prohibited term to a Markup AI term set.
Action
Add term setCreate a new term set in Markup AI terminology, optionally with initial terms and linked domains.
Action
Cancel agent workflowCancel a running Markup AI agent workflow.
Action
Delete domainDeletes a terminology domain.
Action
Delete termDelete a term.
Action
Delete term setDeletes a term set from your Markup AI terminology.
Action
Get agentGet an agent's metadata by its ID.
Action
Get agent workflow statusGet the status and result of an agent workflow.
Action
Get style guideGet a style guide's full configuration, including its goals, goal groups and guidelines.
Action
Get termRetrieves a single term from a term set.
Action
Get term setGet a brand-terms term set by id.
Action
List agent categoriesList all available agent categories.
Action
List agentsLists the Markup AI agents your organization can run, optionally filtered by category.
Action
List agent workflowsLists agent workflow executions, optionally filtered by status, agent, or creation time. Returns up to 100 workflows.
Action
List domainsLists the terminology domains in the Markup AI account, optionally filtered by name. Returns up to 100 domains.
Action
List style guidesLists the style guides available to your organization.
Action
List term setsReturns all term sets, with their terms and domains.
Action
Run Content Analysis AgentsRuns a Markup AI content agent (for example Brand Voice, Style, Claims or Freshness) against a piece of text and returns the resulting workflow, including the analysis result when the run is set to wait for completion.
Action
Update domainUpdates an existing terminology domain by ID.
Action
Update termUpdates an existing term in a term set by ID.
Action
Update term setUpdate a brand-terms term set.
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 Markup AI, 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 Markup AI when something happens in Redash?
Any of Markup AI's 22 actions, including Update domain, Update term, Update term set and Add domain. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Markup AI to Redash?
Markup AI has no triggers in the catalog today, so automations start in Redash. If you need the other direction, ask: your agent reads Markup AI's API documentation and adds it.
Do I have to build a connector for Redash or Markup AI?
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 Markup AI 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.