--- title: "Connect Microsoft Log Analytics to Cloud-RF - APIANT.ai" description: "When \"New Query Result Row\" fires in Microsoft Log Analytics, your agent runs \"Analyze interference\" in Cloud-RF." canonical: "https://apiant.ai/connect/microsoft-log-analytics-to-cloud-rf" --- # Connect Microsoft Log Analytics to Cloud-RF When **New Query Result Row** fires in [Microsoft Log Analytics](https://apiant.ai/connections/microsoft-log-analytics), your agent runs **Analyze interference** in [Cloud-RF](https://apiant.ai/connections/cloud-rf). 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 Cloud-RF **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 Cloud-RF 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 can start in Cloud-RF - When **New Query Result Row** in Microsoft Log Analytics then **Analyze interference** in Cloud-RF - When **New Query Result Row** in Microsoft Log Analytics then **Calculate area coverage** in Cloud-RF 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 Cloud-RF ## Triggers and actions 1 trigger · 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. - Action **Analyze interference** Run an interference analysis between transmitters/networks to identify areas of radio interference. - Action **Calculate area coverage** Run a point-to-multipoint radio coverage (heatmap) calculation for a transmitter over an area, returning map layer URLs and metadata. - Action **Calculate HF area coverage** Run an HF (high-frequency) point-to-multipoint area coverage calculation accounting for ionospheric propagation. - Action **Calculate path profile** Run a point-to-point path profile / link budget calculation between a transmitter and receiver. - Action **Calculate points coverage** Run coverage calculations to a defined set of receiver points from a transmitter. - Action **Check network coverage** Check whether a given receiver location is within a network's calculated coverage. - Action **Merge coverage maps** Merge previously generated coverage calculation outputs into a single combined map layer. ## 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) - [ **Cloud-RF** Use this JSON API to build and test radio links for any radio, anywhere.](https://apiant.ai/connections/cloud-rf) 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 Cloud-RF - [ **Airbrake to Cloud-RF** Airbrake collects errors generated by other applications, and aggregates the results for review.](https://apiant.ai/connect/airbrake-to-cloud-rf) - [ **HubSpot to Cloud-RF** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-cloud-rf) - [ **Salesforce to Cloud-RF** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-cloud-rf) - [ **Slack to Cloud-RF** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-cloud-rf) - [ **Google Sheets to Cloud-RF** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-cloud-rf) - [ **Gmail to Cloud-RF** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-cloud-rf) Questions ## Microsoft Log Analytics and Cloud-RF, 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 Cloud-RF when something happens in Microsoft Log Analytics? Any of Cloud-RF's 7 actions, including Analyze interference, Calculate area coverage, Calculate HF area coverage and Calculate path profile. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Cloud-RF to Microsoft Log Analytics? Cloud-RF has no triggers in the catalog today, so automations start in Microsoft Log Analytics. If you need the other direction, ask: your agent reads Cloud-RF's API documentation and adds it. ### ### Do I have to build a connector for Microsoft Log Analytics or Cloud-RF? 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 Cloud-RF 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.