Integration
Connect LiveAgent to Brand.dev
When New conversation fires in LiveAgent, your agent runs Find rows in a collection in Brand.dev. 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 LiveAgent and Brand.dev to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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)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 LiveAgent can start in Brand.dev
When New conversation in LiveAgent
then Find rows in a collection in Brand.dev
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 LiveAgent and Brand.dev
Triggers and actions 3 triggers · 26 actions
- New conversation
Triggers when a new conversation (ticket, chat, call or message) is created in LiveAgent.
- New Customer
Triggers when a new customer (contact) is added in LiveAgent.
- New Customer (Experimental)
Triggers when a new customer (contact) is added in LiveAgent.
- Add customer group
Creates a new customer group in LiveAgent with a name and optional text and background colors.
- Add tag
Creates a new tag in LiveAgent that can be assigned to conversations.
- Get conversation
Returns a LiveAgent conversation (ticket) by its ID, code or public URL code, including status, owner, tags and custom field values.
- List conversation messages
Returns all message groups and their messages for a LiveAgent conversation, optionally limited to a date range.
- List conversations
Returns conversations (tickets, chats, calls) in LiveAgent, optionally filtered by owner, department, agent, status, channel, subject and dates.
- List customer groups
Returns every customer group defined in the LiveAgent account, with each group's id and name.
- List tags
Returns every tag defined in the LiveAgent account, with each tag's id and name.
- Add a monitor
Create a website change monitor.
- Delete a collection
Delete a WebDBs data collection.
- Delete a monitor
Delete a website change monitor.
- Extract Products From a Brand's Website
Beta feature: Extract product information from a brand's website. Brand.dev will analyze the website and return a list of products with details such as name, description, image, pricing, features, and more.
- Find rows in a collection
Query rows stored in a WebDBs data collection.
- Get a batch
Retrieve a batch's status by ID.
- Get a monitor
Retrieve a website change monitor by ID.
- Get batch results
Retrieve the results of a completed batch.
- List batches
List submitted batches.
- List collections
List WebDBs data collections.
- List monitors
List website change monitors.
- Query Website Data Using AI
Use AI to extract specific data points from a brand's website. The AI will crawl the website and extract the requested information based on the provided data points.
- Retrieve Brand Data by Company Name
Retrieve brand information using a company name. This endpoint searches for the company by name and returns its brand data.
- Retrieve person
Retrieve a person's profile data.
- Retrieve Simplified Brand Data by Domain
Returns a simplified version of brand data containing only essential information: domain, title, colors, logos, and backdrops. This endpoint is optimized for faster responses and reduced data transfer.
- Run a monitor
Trigger a website change monitor to run immediately.
- Search company news
Search for recent news articles about a company or brand.
- Update a collection
Update a WebDBs data collection's configuration.
- Update a monitor
Update a website change monitor's configuration.
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
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Questions
LiveAgent and Brand.dev, answered
What can start an automation from LiveAgent?
Any of LiveAgent's 3 triggers in the catalog, including New conversation, New Customer and New Customer (Experimental). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Brand.dev when something happens in LiveAgent?
Any of Brand.dev's 19 actions, including Update a collection, Update a monitor, Add a monitor and Extract Products From a Brand's Website. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Brand.dev to LiveAgent?
Brand.dev has no triggers in the catalog today, so automations start in LiveAgent. If you need the other direction, ask: your agent reads Brand.dev's API documentation and adds it.
Do I have to build a connector for LiveAgent or Brand.dev?
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.
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.