---
title: "Connect Grafana and OpenAI - APIANT.ai"
description: "When \"New Dashboard\" fires in Grafana, your agent runs \"Create message\" in OpenAI, or \"New batch\" in OpenAI to \"Add Team Member\" in Grafana."
canonical: "https://apiant.ai/connect/grafana-to-openai"
---

# Connect Grafana and OpenAI

When **New Dashboard** fires in [Grafana](https://apiant.ai/connections/grafana), your agent runs **Create message** in [OpenAI](https://apiant.ai/connections/openai), or **New batch** in OpenAI to **Add Team Member** in Grafana. Describe the whole flow and it is built, tested on every scenario and kept running.

Grafana **1** trigger Grafana **24** actions OpenAI **5** triggers OpenAI **69** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Grafana and OpenAI to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Grafana and OpenAI can do together

### From Grafana to OpenAI

- When **New Dashboard** in Grafana then **Create message** in OpenAI
- When **New Dashboard** in Grafana then **Create assistant** in OpenAI

### From OpenAI to Grafana

- When **New batch** in OpenAI then **Add Team Member** in Grafana
- When **New file** in OpenAI then **Create Alert Rule** in Grafana

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 OpenAI

## Triggers and actions 6 triggers · 93 actions

- Trigger

**New Dashboard**

Triggers when a new dashboard is created in your Grafana instance.

- Action

**Add Team Member**

Adds an existing Grafana user to a team.

- Action

**Create Alert Rule**

Creates a Grafana-managed alert rule (or recording rule) in a folder and rule group, and returns the new rule.

- Action

**Create Annotation**

Creates 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 Folder**

Creates a new folder in Grafana, optionally nested under a parent folder.

- Action

**Create or Update Dashboard**

Creates 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 Team**

Creates a new team in your Grafana organization with a name and optional email.

- Action

**Delete Alert Rule**

Deletes a Grafana-managed alert rule or recording rule by its UID.

- Action

**Delete Annotation**

Deletes an annotation from Grafana by its id.

- Action

**Delete Dashboard**

Deletes a dashboard from your Grafana instance by its unique identifier.

- Action

**Delete Folder**

Deletes a Grafana folder along with all dashboards and alerts stored in it.

- Action

**Find Annotations**

Returns annotations matching the given time range, dashboard, panel, user, alert, type or tags.

- Action

**Find Teams**

Finds teams in your Grafana organization by name or partial name.

- Action

**Get Alert Rule**

Returns a single Grafana-managed alert rule or recording rule by its UID, including its queries, labels, annotations and folder.

- Action

**Get Annotation**

Returns a single annotation by its id, including its text, tags, time range and the dashboard and panel it belongs to.

- Action

**Get Dashboard**

Returns 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 Source**

Returns a single Grafana data source, including its type, URL, access mode and settings, looked up by its UID.

- Action

**Get Folder**

Returns a Grafana folder by its UID, including its title and parent folder.

- Action

**Get Team**

Returns a Grafana team's details (name, email, organization, created and updated times) by its ID.

- Action

**List Data Sources**

Returns all data sources configured in your Grafana organization, with their names, types and connection settings.

- Action

**List Folders**

Returns all folders in your Grafana organization that you have permission to view, with each folder's UID, title and parent folder.

- Action

**Remove Team Member**

Removes a user from a Grafana team.

- Action

**Update Alert Rule**

Updates an existing Grafana alert or recording rule, replacing its title, queries, condition, labels and other settings.

- Action

**Update Annotation**

Updates the text, tags, or time range of an existing annotation. Fields left blank keep their current values.

- Action

**Update Folder**

Updates an existing folder's title, or moves it under a different parent folder.

- Trigger

**New batch**

List your organization's batches.

- Trigger

**New file**

Returns a list of files.

- Trigger

**New model**

Lists the currently available models.

- Trigger

**New vector store**

Returns a list of vector stores.

- Trigger

**New video**

List recently generated videos for the current project.

- Action

**Cancel batch**

Cancels an in-progress batch.

- Action

**Cancel run**

Cancels a run that is in_progress.

- Action

**Cancel vector store file batch**

Cancel a vector store file batch.

- Action

**Content moderation**

Classifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.

- Action

**Count input tokens**

Returns input token counts of the request.

- Action

**Create assistant**

Create an assistant with a model and instructions.

- Action

**Create chat completion**

Sends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.

- Action

**Create completion**

Creates a completion for the provided prompt and parameters.

- Action

**Create embedding**

Generates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).

- Action

**Create message**

Create a message.

- Action

**Create run**

Create a run.

- Action

**Creates and executes a batch from an uploaded file of requests**

Creates and executes a batch from an uploaded file of requests

- Action

**Create thread**

Create a thread.

- Action

**Create thread and run**

Create a thread and run it in one request.

- Action

**Create vector store**

Create a vector store.

- Action

**Create vector store file**

Create a vector store file by attaching a File to a vector store.

- Action

**Create vector store file batch**

Create a vector store file batch.

- Action

**Create video edit job**

Create a new video generation job by editing a source or existing generated video.

- Action

**Create video extension**

Create an extension of a completed video.

- Action

**Create video generation job**

Create a new video generation job from a prompt and optional reference assets.

- Action

**Create video remix**

Create a remix of a completed video using a refreshed prompt.

- Action

**Delete assistant**

Delete an assistant.

- Action

**Delete eval run**

Delete an eval run.

- Action

**Delete file**

Delete a file and remove it from all vector stores.

- Action

**Delete message**

Deletes a message.

- Action

**Delete thread**

Delete a thread.

- Action

**Delete vector store**

Delete a vector store.

- Action

**Delete vector store file**

Delete a vector store file (removes from store, file itself not deleted).

- Action

**Delete video**

Permanently delete a completed or failed video and its stored assets.

- Action

**Download video content**

Download the generated video bytes or a derived preview asset.

- Action

**Edit image**

Creates an edited or extended image given one or more source images and a prompt.

- Action

**Generate image**

Generates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.

- Action

**Generate speech**

Converts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.

- Action

**Get assistant**

Retrieves an assistant.

- Action

**Get batch**

Retrieves a batch.

- Action

**Get file**

Returns information about a specific file.

- Action

**Get file content**

Returns the contents of the specified file.

- Action

**Get message**

Retrieve a message.

- Action

**Get model**

Retrieves a model instance.

- Action

**Get run**

Retrieves a run.

- Action

**Get run step**

Retrieves a run step.

- Action

**Get thread**

Retrieves a thread.

- Action

**Get vector store**

Retrieves a vector store.

- Action

**Get vector store file**

Retrieves a vector store file.

- Action

**Get vector store file batch**

Retrieves a vector store file batch.

- Action

**Get vector store file content**

Retrieve the parsed contents of a vector store file.

- Action

**Get video**

Fetch the latest metadata for a generated video.

- Action

**List conversation items**

List all items for a conversation with the given ID.

- Action

**List files**

Lists files that have been uploaded to your OpenAI account.

- Action

**List messages**

Returns a list of messages for a given thread.

- Action

**List models**

Lists the models currently available to your account.

- Action

**List runs**

Returns a list of runs belonging to a thread.

- Action

**List run steps**

Returns a list of run steps belonging to a run.

- Action

**List vector store file batch files**

Returns a list of vector store files in a batch.

- Action

**List vector store files**

Returns a list of vector store files.

- Action

**OpenAI agent message**

Runs one AI agent turn on OpenAI and returns the model's reply. The turn is billed to the OpenAI account connected on this step, and the agent can call the account's AI tool automations.

- Action

**Retrieve response**

Retrieves a previously created model response by its Response ID.

- Action

**Search vector store**

Search a vector store for relevant chunks based on a query and filter.

- Action

**Send model a message**

Sends a message to an OpenAI model via the Responses API and emits its response. Returns a Response ID usable as previous_response_id for multi-turn conversations.

- Action

**Submit tool outputs to run**

Submit tool outputs when a run requires action.

- Action

**Transcribe audio**

Transcribes audio into the input language.

- Action

**Translate audio**

Translates audio into English.

- Action

**Update assistant**

Modifies an assistant.

- Action

**Update message**

Modifies a message.

- Action

**Update run**

Modifies a run.

- Action

**Update thread**

Modifies a thread.

- Action

**Update vector store**

Modifies a vector store.

- Action

**Update vector store file attributes**

Update attributes on a vector store file.

- Action

**Upload file**

Upload a file that can be used across various endpoints.

## Each app on its own

- [ **Grafana** Grafana offers application analytics visualization services and features graphing, styling, template...](https://apiant.ai/connections/grafana)
- [ **OpenAI** OpenAI's platform for text generation (Responses + Chat Completions), image generation (gpt-image-1 /...](https://apiant.ai/connections/openai)

Reviews

## What our customers say

## More from Grafana

- [ **Grafana to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/grafana-to-hubspot)
- [ **Grafana to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/grafana-to-salesforce)
- [ **Grafana to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/grafana-to-slack)
- [ **Grafana to Mailchimp** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/grafana-to-mailchimp)
- [ **Grafana to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/grafana-to-stripe)
- [ **Grafana to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/grafana-to-shopify)

## More into OpenAI

- [ **Mailchimp to OpenAI** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-openai)
- [ **ActiveCampaign to OpenAI** ActiveCampaign is a marketing automation, email marketing, and CRM platform.](https://apiant.ai/connect/activecampaign-to-openai)
- [ **Asana to OpenAI** Asana is a collaborative information manager for workspace.](https://apiant.ai/connect/asana-to-openai)
- [ **JIRA to OpenAI** Atlassian JIRA Cloud — issue tracking and project management.](https://apiant.ai/connect/jira-to-openai)
- [ **Twilio to OpenAI** Cloud communications platform for sending SMS/MMS messages, making and managing voice calls, and looking up...](https://apiant.ai/connect/twilio-to-openai)
- [ **Intercom to OpenAI** Intercom is a customer communications platform for support, engagement, and marketing.](https://apiant.ai/connect/intercom-to-openai)

Questions

## Grafana and OpenAI, 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 OpenAI when something happens in Grafana?

Any of OpenAI's 69 actions, including Create assistant, Create chat completion, Create completion and Create embedding. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from OpenAI to Grafana?

Yes. When something happens in OpenAI, your agent can act in Grafana too. This page covers both directions: OpenAI's triggers and Grafana's actions are listed here as well.

###

### Do I have to build a connector for Grafana or OpenAI?

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 OpenAI 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.
