Integration
Connect Grafana to Pipeless Recommendations
When New Dashboard fires in Grafana, your agent runs Create Event in Pipeless Recommendations. 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 Grafana and Pipeless Recommendations 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 Grafana can start in Pipeless Recommendations
When New Dashboard in Grafana
then Create Event in Pipeless Recommendations
When New Dashboard in Grafana
then Create Events (With Line Item Support) in Pipeless Recommendations
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 Grafana and Pipeless Recommendations
Triggers and actions 1 trigger · 32 actions
Trigger
New DashboardTriggers when a new dashboard is created in your Grafana instance.
Action
Add Team MemberAdds an existing Grafana user to a team.
Action
Create Alert RuleCreates a Grafana-managed alert rule (or recording rule) in a folder and rule group, and returns the new rule.
Action
Create AnnotationCreates an annotation in Grafana, either on a specific dashboard panel or as an organization-wide annotation. Supports point-in-time and region annotations with tags.
Action
Create FolderCreates a new folder in Grafana, optionally nested under a parent folder.
Action
Create or Update DashboardCreates a new dashboard or updates an existing one from a complete dashboard model, optionally placing it in a folder and recording a version-history message.
Action
Create TeamCreates a new team in your Grafana organization with a name and optional email.
Action
Delete Alert RuleDeletes a Grafana-managed alert rule or recording rule by its UID.
Action
Delete AnnotationDeletes an annotation from Grafana by its id.
Action
Delete DashboardDeletes a dashboard from your Grafana instance by its unique identifier.
Action
Delete FolderDeletes a Grafana folder along with all dashboards and alerts stored in it.
Action
Find AnnotationsReturns annotations matching the given time range, dashboard, panel, user, alert, type or tags.
Action
Find TeamsFinds teams in your Grafana organization by name or partial name.
Action
Get Alert RuleReturns a single Grafana-managed alert rule or recording rule by its UID, including its queries, labels, annotations and folder.
Action
Get AnnotationReturns a single annotation by its id, including its text, tags, time range and the dashboard and panel it belongs to.
Action
Get DashboardReturns a Grafana dashboard, including its full dashboard model and metadata such as its folder and URL, given the dashboard's unique identifier.
Action
Get Data SourceReturns a single Grafana data source, including its type, URL, access mode and settings, looked up by its UID.
Action
Get FolderReturns a Grafana folder by its UID, including its title and parent folder.
Action
Get TeamReturns a Grafana team's details (name, email, organization, created and updated times) by its ID.
Action
List Data SourcesReturns all data sources configured in your Grafana organization, with their names, types and connection settings.
Action
List FoldersReturns all folders in your Grafana organization that you have permission to view, with each folder's UID, title and parent folder.
Action
Remove Team MemberRemoves a user from a Grafana team.
Action
Update Alert RuleUpdates an existing Grafana alert or recording rule, replacing its title, queries, condition, labels and other settings.
Action
Update AnnotationUpdates the text, tags, or time range of an existing annotation. Fields left blank keep their current values.
Action
Update FolderUpdates an existing folder's title, or moves it under a different parent folder.
Action
Create EventCreates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app.
Action
Create Events (With Line Item Support)Creates up to 10 events in one call, such as several line items a user purchased.
Action
Delete eventDeletes the event(s) matching a start object, relationship type and end object.
Action
Delete objectDeletes an object and all the relationships and events connected to it.
Action
Get Activity on ObjectReturns the activity that has taken place on an object, such as who followed or liked it.
Action
Get objectReturns basic info (type, created and modified dates) for a single Pipeless object.
Action
List recent eventsReturns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app.
Action
Update objectUpdates an existing Pipeless object's id or its created/modified timestamps.
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
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Questions
Grafana and Pipeless Recommendations, answered
What can start an automation from Grafana?
Any of Grafana's 1 trigger in the catalog, including New Dashboard. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pipeless Recommendations when something happens in Grafana?
Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipeless Recommendations to Grafana?
Pipeless Recommendations has no triggers in the catalog today, so automations start in Grafana. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it.
Do I have to build a connector for Grafana or Pipeless Recommendations?
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 Grafana and Pipeless Recommendations 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.