Integration
Connect airfocus and Microsoft Log Analytics
When New Item fires in airfocus, your agent runs Run Query in Microsoft Log Analytics, or New Query Result Row in Microsoft Log Analytics to Create Item in airfocus. 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 airfocus and Microsoft Log Analytics 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 airfocus and Microsoft Log Analytics can do together
From airfocus to Microsoft Log Analytics
When New Item in airfocus
then Run Query in Microsoft Log Analytics
From Microsoft Log Analytics to airfocus
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 airfocus and Microsoft Log Analytics
Triggers and actions 4 triggers · 14 actions
- New Item
Triggers when a new item is created in an airfocus workspace.
- New or Updated Item
Triggers when an item is created or updated in an airfocus workspace.
- Updated Item
Triggers when an existing item is updated in an airfocus workspace.
- Create Item
Creates a new item in an airfocus workspace with a name and optional Markdown description.
- Delete document
Deletes an airfocus document along with its workspace link, item links and comments.
- Delete Item
Deletes an item from an airfocus workspace.
- Delete workspace
Deletes an airfocus workspace and everything in it.
- Find documents
Finds airfocus documents whose title contains the given text, optionally limited to a workspace or a linked item.
- Find fields
Returns the custom fields in your airfocus team, optionally narrowed to specific workspaces, team fields, or required fields.
- Find Item
Finds items in an airfocus workspace whose name contains the given text.
- Find workspaces
Returns the airfocus workspaces whose name contains the given text.
- Get document
Returns an airfocus document by its ID, including its content, workspace and linked items.
- Get workspace
Returns a single airfocus workspace by its ID, including its name, alias, item type, statuses, fields and item counts.
- Update Item
Updates an airfocus item's name or status.
- Update workspace
Updates an airfocus workspace's name, description, alias, item color, item type, default permission or progress mode. Blank fields are left unchanged.
- New Query Result Row
Triggers when a Kusto (KQL) query against the connected Log Analytics workspace returns a row it has not returned before. Each row's fields are the query's column names.
- List Tables
Returns the tables available in the connected Log Analytics workspace, with each table's type and time column.
- Run Query
Runs a Kusto (KQL) query against the connected Log Analytics workspace and returns the result rows, each keyed by column name.
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
airfocus and Microsoft Log Analytics, answered
What can start an automation from airfocus?
Any of airfocus's 3 triggers in the catalog, including New Item, New or Updated Item and Updated Item. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Microsoft Log Analytics when something happens in airfocus?
Any of Microsoft Log Analytics's 2 actions, including List Tables and Run Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Microsoft Log Analytics to airfocus?
Yes. When something happens in Microsoft Log Analytics, your agent can act in airfocus too. This page covers both directions: Microsoft Log Analytics's triggers and airfocus's actions are listed here as well.
Do I have to build a connector for airfocus or Microsoft Log Analytics?
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 airfocus and Microsoft Log Analytics 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.