--- title: "Connect Microsoft Log Analytics and SQL Server - APIANT.ai" description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Find Rows via Custom Query\" in SQL Server." canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-sql-server" --- # Connect Microsoft Log Analytics and SQL Server When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Find Rows via Custom Query** in [SQL Server](https://apiant.ai/connections/sql-server), or **New or Updated Row** in SQL Server 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 SQL Server **4** triggers SQL Server **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 SQL Server 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 SQL Server can do together ### From Microsoft Log Analytics to SQL Server - When **New Query Result Row** in Microsoft Log Analytics then **Find Rows via Custom Query** in SQL Server - When **New Query Result Row** in Microsoft Log Analytics then **Find Row via Custom Query** in SQL Server ### From SQL Server to Microsoft Log Analytics - When **New or Updated Row** in SQL Server then **Run Query** in Microsoft Log Analytics - When **New Row** in SQL Server 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 SQL Server ## Triggers and actions 5 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 **New or Updated Row** Triggers when a new row is added or modified. - Trigger **New or Updated Row (Custom Query)** Fires for each new or changed row returned by a SELECT statement you write against the connected SQL Server database. - Trigger **New Row** Triggers when you add a new row. - Trigger **New Table** Fires when a new table appears in the connected SQL Server database. - Action **Add Row** Add one row to a table on the connected SQL Server database. - Action **Delete Row** Delete the rows in a table whose chosen column equals a value. - Action **Find Row** Find the first row in a table whose chosen column matches a value. - Action **Find Rows via Custom Query** Runs a SELECT statement you write against the connected SQL Server database and returns every row it matches. - Action **Find Row via Custom Query** Runs a SELECT statement you write against the connected SQL Server database and returns the first row it matches. - Action **Run Custom Statement** Runs a statement you write against the connected SQL Server database that changes data rather than returning rows, and reports how many rows it changed. - Action **Update Row** Change column values on every row of a table whose chosen column matches a value. ## 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) - [ **SQL Server** Connect directly to a Microsoft SQL Server database and run SQL statements from your automations.](https://apiant.ai/connections/sql-server) 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 SQL Server - [ **HubSpot to SQL Server** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-sql-server) - [ **Slack to SQL Server** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-sql-server) - [ **Mailchimp to SQL Server** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-sql-server) - [ **Shopify to SQL Server** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/shopify-to-sql-server) - [ **QuickBooks Online to SQL Server** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/quickbooks-online-to-sql-server) - [ **Pipedrive to SQL Server** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-sql-server) Questions ## Microsoft Log Analytics and SQL Server, 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 SQL Server when something happens in Microsoft Log Analytics? Any of SQL Server's 7 actions, including Update Row, Add Row, Find Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from SQL Server to Microsoft Log Analytics? Yes. When something happens in SQL Server, your agent can act in Microsoft Log Analytics too. This page covers both directions: SQL Server'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 SQL Server? 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 SQL Server 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.