--- title: "Connect Microsoft Log Analytics and Wachete - APIANT.ai" description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Create monitor\" in Wachete." canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-wachete" --- # Connect Microsoft Log Analytics and Wachete When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Create monitor** in [Wachete](https://apiant.ai/connections/wachete), or **New notification for monitor** in Wachete to **Run Query** in Microsoft Log Analytics. Describe the whole flow and it is built, tested on every scenario and kept running. Microsoft Log Analytics **1** trigger Microsoft Log Analytics **2** actions Wachete **2** triggers Wachete **7** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Microsoft Log Analytics and Wachete 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 Microsoft Log Analytics and Wachete can do together ### From Microsoft Log Analytics to Wachete - When **New Query Result Row** in Microsoft Log Analytics then **Create monitor** in Wachete - When **New Query Result Row** in Microsoft Log Analytics then **Update monitor** in Wachete ### From Wachete to Microsoft Log Analytics - When **New notification for monitor** in Wachete then **Run Query** in Microsoft Log Analytics - When **Any new notification** in Wachete then **List Tables** in Microsoft Log Analytics 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 Microsoft Log Analytics and Wachete ## Triggers and actions 3 triggers · 9 actions - Trigger **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. - Action **List Tables** Returns the tables available in the connected Log Analytics workspace, with each table's type and time column. - Action **Run Query** Runs a Kusto (KQL) query against the connected Log Analytics workspace and returns the result rows, each keyed by column name. - Trigger **Any new notification** Fires when there is a new change notification from any monitor in your Wachete account. - Trigger **New notification for monitor** Fires when there is a new change notification from the specified Wachete monitor (taskId). - Action **Create monitor** Create a new Wachete monitor (wachet) that watches a web page or part of a page for changes. - Action **Delete monitor** Delete a Wachete monitor by its ID. - Action **Get monitor** Get information about a specific Wachete monitor by its ID. - Action **Get monitor data** Get the captured data/history for a Wachete monitor, optionally as a diff and within a date range. - Action **List folders** List folder contents, optionally under a parent folder. - Action **List notifications** List change notifications, optionally filtered by monitor (taskId) and date range. - Action **Update monitor** Change the settings of an existing Wachete monitor — name, URL, watched/excluded XPath, regex, note, job type, check frequency and location, crawl options, folder, alerts, notification endpoints, headers and proxies. A partial update: the op first reads the monitor's current record, overlays only the fields you filled in, then writes the merged record back, so anything you leave blank keeps its current value — including settings this op does not expose. Identify the monitor by its id. Check frequency is in seconds (86400 = daily) and is ignored if not positive; the true/false options take the words true or false; alerts, notification endpoints, headers and proxies take JSON. Returns the monitor id, name and URL after the update plus the full monitor record. ## Each app on its own - [ **Microsoft Log Analytics** Azure service for querying, analyzing, and storing log and telemetry data collected from cloud and...](https://apiant.ai/connections/microsoft-log-analytics) - [ **Wachete** Wachete monitors web pages (or parts of pages) for changes and notifies you when the text changes or...](https://apiant.ai/connections/wachete) Reviews ## What our customers say ## More from Microsoft Log Analytics - [ **Microsoft Log Analytics to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/microsoft-log-analytics-to-salesforce) - [ **Microsoft Log Analytics to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/microsoft-log-analytics-to-slack) - [ **Microsoft Log Analytics to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/microsoft-log-analytics-to-stripe) - [ **Microsoft Log Analytics to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/microsoft-log-analytics-to-shopify) - [ **Microsoft Log Analytics to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/microsoft-log-analytics-to-quickbooks-online) - [ **Microsoft Log Analytics to Pipedrive** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/microsoft-log-analytics-to-pipedrive) ## More into Wachete - [ **HubSpot to Wachete** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-wachete) - [ **Slack to Wachete** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-wachete) - [ **Mailchimp to Wachete** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-wachete) - [ **Shopify to Wachete** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-wachete) - [ **QuickBooks Online to Wachete** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/quickbooks-online-to-wachete) - [ **Pipedrive to Wachete** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-wachete) Questions ## Microsoft Log Analytics and Wachete, answered ### ### What can start an automation from Microsoft Log Analytics? Any of Microsoft Log Analytics's 1 trigger in the catalog, including New Query Result Row. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Wachete when something happens in Microsoft Log Analytics? Any of Wachete's 7 actions, including Create monitor, Update monitor, Get monitor and Get monitor data. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Wachete to Microsoft Log Analytics? Yes. When something happens in Wachete, your agent can act in Microsoft Log Analytics too. This page covers both directions: Wachete's triggers and Microsoft Log Analytics's actions are listed here as well. ### ### Do I have to build a connector for Microsoft Log Analytics or Wachete? 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 Microsoft Log Analytics and Wachete 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.