--- title: "Connect Microsoft Log Analytics and Pipefy - APIANT.ai" description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Create Record\" in Pipefy." canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-pipefy" --- # Connect Microsoft Log Analytics and Pipefy When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Create Record** in [Pipefy](https://apiant.ai/connections/pipefy), or **Moved Card** in Pipefy 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 Pipefy **6** triggers Pipefy **11** 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 Pipefy 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 Pipefy can do together ### From Microsoft Log Analytics to Pipefy - When **New Query Result Row** in Microsoft Log Analytics then **Create Record** in Pipefy - When **New Query Result Row** in Microsoft Log Analytics then **Update Database Record** in Pipefy ### From Pipefy to Microsoft Log Analytics - When **Moved Card** in Pipefy then **Run Query** in Microsoft Log Analytics - When **New Card** in Pipefy 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 Pipefy ## Triggers and actions 7 triggers · 13 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 **Done Card** Triggers when a card is done. - Trigger **Moved Card** Triggers when a card is moved. - Trigger **New Card** Triggers when a new card is created. - Trigger **New Database Record** Triggers when a new record is created. - Trigger **Updated Card Field** Triggers when a card field is updated. - Trigger **Updated Record Field** Triggers when a record field is updated. - Action **Create Card** Creates a card in a Pipefy pipe, filling in its start form fields. - Action **Create Record** Creates a new table record. - Action **Delete Card** Permanently deletes a card from its pipe. - Action **Delete Database Record** Delete a database table record by ID via the GraphQL `deleteTableRecord(input: {id})` mutation. - Action **Find Card** Returns the cards in a pipe whose chosen field matches the specified value. - Action **Find Database Records** Find a database records by title. - Action **Get Card** Retrieves a single Pipefy card by its id, including its phase, pipe, assignees, labels, attachments and field values. - Action **Get Database Record** Fetch a single database table record by ID via the GraphQL `table_record(id: ID)` query. - Action **Move Card** Moves a Pipefy card to another phase of its pipe. - Action **Update Card Field** Sets a new value on one field of an existing Pipefy card. - Action **Update Database Record** Update a database table record's title/fields via the GraphQL `updateTableRecord(input: {id, title})` mutation. ## 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) - [ **Pipefy** The easy button for processes and workflows Easily organize and run all your processes in one place, leaving...](https://apiant.ai/connections/pipefy) 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 Pipefy - [ **GrowSurf to Pipefy** GrowSurf is referral software for B2C and B2B tech companies.](https://apiant.ai/connect/growsurf-to-pipefy) - [ **HubSpot to Pipefy** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-pipefy) - [ **Google Sheets to Pipefy** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-pipefy) - [ **Gmail to Pipefy** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-pipefy) - [ **Google Calendar to Pipefy** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-pipefy) - [ **Google Drive to Pipefy** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-pipefy) Questions ## Microsoft Log Analytics and Pipefy, 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 Pipefy when something happens in Microsoft Log Analytics? Any of Pipefy's 11 actions, including Create Card, Create Record, Update Card Field and Update Database Record. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Pipefy to Microsoft Log Analytics? Yes. When something happens in Pipefy, your agent can act in Microsoft Log Analytics too. This page covers both directions: Pipefy'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 Pipefy? 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 Pipefy 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.