Integration
Connect Seam to LiveChatAI
When Access Grant Created fires in Seam, your agent runs Send Message in LiveChatAI. 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 Seam and LiveChatAI 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)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 Seam can start in LiveChatAI
When Access Grant Created in Seam
then Send Message in LiveChatAI
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 Seam and LiveChatAI
Triggers and actions 1 trigger · 23 actions
- Access Grant Created
Triggers when an access grant is created.
- Create Access Grant
Creates a new access grant for a user identity.
- Create Space
Creates a new space.
- Create User Identity
Creates a new user identity.
- Delete Access Grant
Deletes an access grant.
- Delete User Identity
Deletes a user identity.
- Find Access Grant
Finds an access grant by its ID.
- Find Space
Finds spaces in your workspace, optionally filtered by name.
- Get User Identity
Returns one user identity by user_identity_id or user_identity_key.
- Update Access Grant
Updates an existing access grant.
- Add agent
Create a new AI agent.
- Add conversation
Creates a new conversation for an agent (chatbot) without sending a message, returning the new conversation id and the contact id.
- Delete agent
Permanently deletes an agent from your LiveChatAI account.
- End conversation
Mark a conversation as ended/closed.
- Find Conversations
Returns up to 100 conversations for an agent (chatbot) that match the specified filters such as status, date range, assignee, sentiment, topic, channel or saved inbox view.
- Get agent
Retrieve a single LiveChatAI agent (chatbot) by its ID or slug.
- Get contact
Retrieve a LiveChatAI contact by its id, including their custom attributes.
- Get conversation
Retrieve a LiveChatAI conversation, including its messages.
- List agents
List all AI agents on the account.
- List contacts
Lists contacts for a LiveChatAI agent (up to 100 per call).
- List data sources
Lists the training data sources (websites, text, Q&A pairs and uploaded files) of a LiveChatAI agent, optionally filtered by type or search text.
- Make an API Call
- Reply to conversation
Sends a reply as an agent to a LiveChatAI conversation.
- Send Message
Automates communication by sending messages through various channels, saving you time and effort.
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
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Questions
Seam and LiveChatAI, answered
What can start an automation from Seam?
Any of Seam's 1 trigger in the catalog, including Access Grant Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in LiveChatAI when something happens in Seam?
Any of LiveChatAI's 14 actions, including Send Message, Add agent, Add conversation and End conversation. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from LiveChatAI to Seam?
LiveChatAI has no triggers in the catalog today, so automations start in Seam. If you need the other direction, ask: your agent reads LiveChatAI's API documentation and adds it.
Do I have to build a connector for Seam or LiveChatAI?
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 Seam and LiveChatAI 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.