- URGENT
- PENDING
- ACTIVE
- RESOLVED
Short answer
How can I track my support queue using AI?
Your AI uses Polaria to scan all open and pending conversations in your queue. It identifies which tickets need attention and which are moving along fine. You'll see how it categorizes these conversations below.
Where every issue lands.
Queue oversight outcomes
The AI sorts your conversation data into these specific categories.
URGENT
Immediate human intervention
The AI flags conversations that show high frustration or critical issues. These go straight to your attention for a manual response.
PENDING
Stalled conversations
The AI identifies tickets where the customer hasn't replied or the conversation has gone cold. You can use this to nudge users.
ACTIVE
Steady progress
The AI tracks conversations that are moving through the standard flow. These are the tickets currently being handled.
RESOLVED
Completed interactions
The AI identifies closed tickets that no longer require monitoring. This keeps your active queue clean.
The workflow
What your AI does when a ticket arrives.
The AI acts as a continuous observer of your support stream.
Scan the queue
The AI pulls a full list of all current conversations in your support system.
list_conversationsAnalyze details
The AI looks into specific conversation threads to understand the context and sentiment.
get_conversationIdentify status
The AI checks which conversations are open, pending, or waiting on a human.
list_conversationsget_conversationReport findings
The AI summarizes the state of your queue and highlights the most important tickets.
get_conversation
Try it
Copy these to start.
Use these prompts to begin monitoring your queue.
Starting points
These are basic starting lines. Swap out the specific channel or ticket names to match your actual support setup.
Polaria Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Ro5TrQzREiNFuDsxSvTz8za9m301TxUMEabXGqfy/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Polaria capabilities are ready to use.
{
"mcpServers": {
"polaria-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Ro5TrQzREiNFuDsxSvTz8za9m301TxUMEabXGqfy/mcp"
}
}
}List all active conversations in the Support channel.
Check the status of the last five pending tickets.
Find any open conversations in the Billing queue that seem urgent.
Summarize the current state of all open conversations.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Polaria once, then ask.
Just link your account once. Your login stays encrypted, and you can immediately start asking your agent about your tickets.
Connect Polaria to your AIFAQ
How the monitoring works
- 01
Can the AI reply to customers for me?
No. The AI only reads and analyzes conversations. You must handle all outgoing messages yourself.
- 02
Can the AI delete old chat history?
No. This MCP only has tools to list and get conversation data. It cannot delete or modify any records.
- 03
How often does the AI see new tickets?
The AI sees updates whenever you ask it to run a command or check the status of your queue.
- 04
Can I use this with Claude?
Yes. You can use Polaria with any MCP-compatible client like Claude or Cursor.
- 05
Does the AI know which tickets are assigned to me?
The AI can see the conversation details, so it can identify who is involved in a thread if that data is present.
More questions about Polaria? The Connector page answers them. See everything the Polaria Connector can do
Connect Polaria to Claude, Cursor, ChatGPT & more
