Integration
Connect Hiver and Microsoft Log Analytics
When New Inbound Conversation fires in Hiver, your agent runs Run Query in Microsoft Log Analytics, or New Query Result Row in Microsoft Log Analytics to Find Inbox User by Email in Hiver. 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 Hiver 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)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 Hiver and Microsoft Log Analytics can do together
From Hiver to Microsoft Log Analytics
When New Inbound Conversation in Hiver
then Run Query in Microsoft Log Analytics
From Microsoft Log Analytics to Hiver
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 Hiver and Microsoft Log Analytics
Triggers and actions 2 triggers · 13 actions
- New Inbound Conversation
Triggers when a new conversation appears in a shared inbox.
- Create Note
Adds an internal note to a conversation, optionally as a reply to another note.
- Create Shared Draft
Creates a shared reply draft on a conversation that inbox members can review and send.
- Create Tag
Creates a tag in a shared inbox, with an optional color and description.
- Find Inbox User by Email
Finds a user in a shared inbox by exact email address.
- Find Tag by Name
Finds tags in a shared inbox by name.
- Get Conversation
Returns one conversation in a shared inbox, with its status, assignee, tags, permalinks and message IDs.
- Get Inbox
Returns one shared inbox by its ID, including its name, email address and whether Hiver still has mailbox access.
- List Conversations
Returns the conversations in a shared inbox, newest first, with status, assignee, tags and permalinks.
- List Inboxes
Returns the shared inboxes in your Hiver account, with each inbox's ID, name and email address.
- List Inbox Tags
Returns the tags defined in a shared inbox.
- List Inbox Users
Returns the users who belong to a shared inbox, with their names, emails and phone numbers.
- 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
Hiver and Microsoft Log Analytics, answered
What can start an automation from Hiver?
Any of Hiver's 1 trigger in the catalog, including New Inbound Conversation. 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 Hiver?
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 Hiver?
Yes. When something happens in Microsoft Log Analytics, your agent can act in Hiver too. This page covers both directions: Microsoft Log Analytics's triggers and Hiver's actions are listed here as well.
Do I have to build a connector for Hiver 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 Hiver 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.