Integration
Connect ChatDaddy and Microsoft Log Analytics
When New Contact Created fires in ChatDaddy, your agent runs Run Query in Microsoft Log Analytics, or New Query Result Row in Microsoft Log Analytics to Add Tag / Custom Field to Contacts in ChatDaddy. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want ChatDaddy and Microsoft Log Analytics to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne 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.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)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)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)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)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)Example flows
What ChatDaddy and Microsoft Log Analytics can do together
From ChatDaddy to Microsoft Log Analytics
When New Contact Created in ChatDaddy
then Run Query in Microsoft Log Analytics
From Microsoft Log Analytics to ChatDaddy
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 ChatDaddy and Microsoft Log Analytics
Triggers and actions 3 triggers · 11 actions
- New Contact Created
Triggers when a new contact is created in ChatDaddy.
- Tag Created
Triggers when a new tag is created in ChatDaddy.
- Add Tag / Custom Field to Contacts
Adds a tag (or sets a custom-field value) on a ChatDaddy contact.
- Create Contact
Creates a ChatDaddy contact, or updates the existing contact with the same phone number.
- Create Tag
Creates a tag in ChatDaddy.
- List Channels
Returns the WhatsApp and other messaging channels connected to your ChatDaddy team.
- List Chats
Returns ChatDaddy chats, newest first, optionally only unread ones.
- List Contacts
Returns ChatDaddy contacts, optionally filtered by search text or tag.
- List Tags
Returns the tags in your ChatDaddy team.
- Send Message
Sends a WhatsApp text message to a chat through a ChatDaddy channel.
- Set Assignee of Contact
Assigns a ChatDaddy contact to a team member.
- 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.
- List Tables
Returns the tables available in the connected Log Analytics workspace, with each table's type and time column.
- Run Query
Runs a Kusto (KQL) query against the connected Log Analytics workspace and returns the result rows, each keyed by column name.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
More from ChatDaddy
ChatDaddy to HubSpotHubSpot is your all-in-one stop for all of your marketing software needs.
ChatDaddy to SalesforceSalesforce is a leading enterprise customer relationship management (CRM) platform.
ChatDaddy to SlackSlack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...
ChatDaddy to Google SheetsGoogle Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.
ChatDaddy to GmailGmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...
ChatDaddy to Google CalendarGoogle Calendar is a time management tool providing scheduling features, event reminders, and integration...
More into Microsoft Log Analytics
Google Drive to Microsoft Log AnalyticsGoogle Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...
Mailchimp to Microsoft Log AnalyticsMailchimp marketing automation and email platform.
Questions
ChatDaddy and Microsoft Log Analytics, answered
What can start an automation from ChatDaddy?
Any of ChatDaddy's 2 triggers in the catalog, including New Contact Created and Tag Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Microsoft Log Analytics when something happens in ChatDaddy?
Any of Microsoft Log Analytics's 2 actions, including List Tables and Run Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Microsoft Log Analytics to ChatDaddy?
Yes. When something happens in Microsoft Log Analytics, your agent can act in ChatDaddy too. This page covers both directions: Microsoft Log Analytics's triggers and ChatDaddy's actions are listed here as well.
Do I have to build a connector for ChatDaddy or Microsoft Log Analytics?
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 ChatDaddy and Microsoft Log Analytics 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.