--- title: "Connect Microsoft Log Analytics and Pipeliner - APIANT.ai" description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Add contact\" in Pipeliner." canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-pipeliner" --- # Connect Microsoft Log Analytics and Pipeliner When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Add contact** in [Pipeliner](https://apiant.ai/connections/pipeliner), or **New account** in Pipeliner 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 Pipeliner **5** triggers Pipeliner **18** 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 Pipeliner 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 Pipeliner can do together ### From Microsoft Log Analytics to Pipeliner - When **New Query Result Row** in Microsoft Log Analytics then **Add contact** in Pipeliner - When **New Query Result Row** in Microsoft Log Analytics then **Add lead** in Pipeliner ### From Pipeliner to Microsoft Log Analytics - When **New account** in Pipeliner then **Run Query** in Microsoft Log Analytics - When **New contact** in Pipeliner 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 Pipeliner ## Triggers and actions 6 triggers · 20 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 account** Fires when a new Account is created in Pipeliner. - Trigger **New contact** Fires when a new Contact is created in Pipeliner. - Trigger **New lead** Fires when a new Lead is created in Pipeliner. - Trigger **New opportunity** Fires when a new Opportunity is created in Pipeliner. - Trigger **Updated opportunity** Fires when an Opportunity is updated in Pipeliner. - Action **Add account** Adds a new account - Action **Add contact** Create a new Contact record. - Action **Add lead** Create a new Lead record. - Action **Add note** Adds a note to an account, contact, lead, opportunity, project, quote or custom entity record in Pipeliner. - Action **Add opportunity** Create a new Opportunity record. - Action **Add product** Create a new Product record. - Action **Delete account** Deletes a Pipeliner account by its id. - Action **Delete contact** Remove Contact with given id. - Action **Find accounts by name** Returns up to 30 accounts whose name matches the specified name. - Action **Find contacts by email** Returns up to 30 contacts whose primary email matches the specified email. - Action **Get account** Retrieves a single account by its id. - Action **Get contact** Return Contact with given id. - Action **Get lead** Return Lead with given id. - Action **Get opportunity** Return Opportunity with given id. - Action **Update account** Update an existing Account record. - Action **Update contact** Update an existing Contact record. - Action **Update lead** Update an existing Lead record. - Action **Update opportunity** Update an existing Opportunity 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) - [ **Pipeliner** CRM software with a visual drag-and-drop sales pipeline, deal tracking, and AI-assisted email, forecasting...](https://apiant.ai/connections/pipeliner) 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 Pipeliner - [ **HubSpot to Pipeliner** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pipeliner) - [ **Gmail to Pipeliner** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pipeliner) - [ **Google Calendar to Pipeliner** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pipeliner) - [ **Google Drive to Pipeliner** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-pipeliner) - [ **Mailchimp to Pipeliner** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-pipeliner) - [ **Pipedrive to Pipeliner** Pipedrive is a sales CRM and pipeline management tool.](https://apiant.ai/connect/pipedrive-to-pipeliner) Questions ## Microsoft Log Analytics and Pipeliner, 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 Pipeliner when something happens in Microsoft Log Analytics? Any of Pipeliner's 18 actions, including Update account, Update contact, Update lead and Update opportunity. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Pipeliner to Microsoft Log Analytics? Yes. When something happens in Pipeliner, your agent can act in Microsoft Log Analytics too. This page covers both directions: Pipeliner'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 Pipeliner? 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 Pipeliner 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.