# MeiQia MCP for AI Agents AI Agent Connect

> MeiQia is a live chat and customer CRM platform that lets your AI agent handle customer engagement directly. It connects your agent to active conversations, allows it to pull message histories, update customer profiles, and monitor team workloads. Instead of switching tabs, your agent acts as a real-time assistant to keep your support and sales teams on top of every interaction.

## Overview
- **Category:** customer-support
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_AZ6dJ9Oe2TbmW9uJTjbIobSlfcFrQkeJALFfKQiG/ai-agent-connect
- **Tags:** customer-engagement, helpdesk, messaging, conversation-history, crm-integration, real-time-chat

## Description

MeiQia connects your AI agent to the heart of your customer engagement platform. If your team spends half their day jumping between different tabs to see who is chatting and what they need, this Connector changes that. Your agent can now look at your active conversations, pull up a customer's full history, and send replies without anyone needing to click through a web interface. It turns your CRM into a conversational space where you can ask questions about your customers and get immediate answers.

When you host this on Vinkius, you get a unified way to manage these interactions. Your agent can see who is online, check how much work your team is currently handling, and keep your customer profiles updated in real-time. It's about moving from manual data entry to just telling your agent what needs to happen. Whether you're trying to catch a sales lead before they drop off or helping a support ticket reach a resolution faster, your agent handles the heavy lifting of data retrieval and status updates. You get to stay focused on the actual conversation while the agent handles the logistics of the CRM.

## Tools

### list_agents
Get a list of all support agents in your workspace. This helps you see your full team roster at a glance.

### list_conversations
See all active and closed live chat conversations. Use this to monitor the volume of incoming requests.

### list_customers
Browse your entire list of CRM customers. This gives you a quick way to find any lead or account.

### list_messages
Pull the full history of messages for a conversation. This ensures your agent has all the facts.

### send_message
Send a direct response to a customer in a chat. This lets your agent take action on a customer's request.

### create_customer
Create a new customer record in your CRM. This helps keep your database updated as new leads come in.

### get_agent_status
Check if a specific support agent is currently online. Use this to see who is available for new chats.

### get_conversation
Pull specific details for a single conversation. This provides the context needed for deep-dive support.

### get_customer
Retrieve the profile and history for a specific customer. It helps you understand a customer's past issues.

### get_workload_summary
See a high-level summary of your team's current workload. Use this to balance tasks across your staff.

## Prompt Examples

**Prompt:** 
```
Who are my top customers and what was their last interaction?
```

**Response:** 
```
I've pulled the list of your customers. Here are the most recent interactions:

| Customer | Last Interaction | Status |
| :--- | :--- | :--- |
| **Mario** | Inquiry about API pricing | Open |
| **Tech Corp** | Order shipped | Closed |
| **Sarah J.** | Billing question | Open |

Would you like me to pull the full message history for any of these?
```

**Prompt:** 
```
Is anyone available to take a new chat right now?
```

**Response:** 
```
Checking the team's current status:

*   **Agent Smith:** Online ✅
*   **Agent Jones:** Offline ❌
*   **Agent Lee:** Online ✅

There are 2 agents currently available to take new chats.
```

**Prompt:** 
```
Summarize the conversation for customer 'Mario'.
```

**Response:** 
```
I've retrieved the conversation history for **Mario**. 

**Summary:**
*   **Issue:** He is asking about enterprise pricing for a large team.
*   **Status:** He mentioned a budget of $5,000/year.
*   **Next Step:** He is waiting for a quote on the 'Pro' plan.

Would you like me to send a reply to him now?
```

## Capabilities

### List all active and closed chats
See every current and past conversation in your workspace at once.

### Send direct replies to customers
Have your agent send messages directly to customers through the chat interface.

### Pull full message histories
Get the entire history of a conversation to provide better context for your agent.

### Update customer contact details
Keep your CRM accurate by letting your agent update or create customer profiles.

### Check real-time agent status
See which support agents are currently online and available to take chats.

### Get a summary of team workload
View high-level statistics on how much work your team is currently handling.

## Use Cases

### Checking team capacity during peak hours
A support lead asks the agent for a workload summary using get_workload_summary to see if they need to reassign chats to other staff.

### Researching a lead before a sales call
A salesperson wants to see a lead's history before a call and asks the agent to pull the profile for a specific customer using get_customer.

### Resolving a past order issue
A customer asks a question about a past order. The agent uses list_messages to find the old order number and then uses send_message to reply.

### Automating new customer entry
A new customer signs up via a web form. The agent uses create_customer to instantly add them to the CRM without manual entry.

## Benefits

- Stop switching tabs by using list_conversations to see every active chat in one place.
- Keep your CRM accurate by using create_customer and get_customer to manage profiles.
- Respond faster to customers by using send_message and list_messages to see context.
- Manage your team better by checking get_agent_status and get_workload_summary for real-time stats.
- Audit your support history easily by using list_messages to see every interaction.
- Coordinate sales leads more effectively by using list_customers to see your full pipeline.

## How It Works

The bottom line is your agent gets direct access to your MeiQia chat and CRM data without you leaving your workspace.

1. Subscribe to the MeiQia MCP through the Vinkius marketplace.
2. Add your MeiQia Access Token to your configuration settings.
3. Ask your AI client to perform tasks like listing customers or sending messages.

## Frequently Asked Questions

**Can I use MeiQia with my AI agent to handle support tickets?**
Yes, you can let your agent read and respond to tickets directly. This allows your agent to access the history and context of every interaction to provide faster answers.

**How does the MeiQia MCP help my sales team?**
It helps your sales team by pulling customer profiles and histories instantly. Your team can get the facts they need before jumping into a call or a chat.

**Can the MeiQia MCP see my team's workload?**
Yes, it can provide a summary of your team's current workload. This makes it easy to see who is busy and who has the capacity to take on more customers.

**Will the MeiQia MCP automatically reply to customers?**
The Connector allows your agent to send messages when you ask it to. It doesn't reply on its own without your instructions, giving you full control over the conversation.

**Is it possible to update customer info using MeiQia?**
Yes, your agent can create new customer records or update existing contact details. This keeps your CRM data accurate without manual data entry.

**How do I see my chat history with MeiQia?**
Your agent can pull the full message history for any conversation. This is great for auditing past issues or getting context on long-running tickets.

**How do I obtain a MeiQia Access Token?**
Log in to your MeiQia workspace, go to [Settings] → [Developer] → [APIs], and generate a new Access Token. Make sure to copy it carefully.

**Can I reply to customers through the agent?**
Yes. Use the `send_message` tool with the specific conversation ID and your message content. This allows for rapid responses directly from your AI workspace.

**Is it possible to see the current team workload?**
Yes! Use the `get_workload_summary` tool to retrieve a real-time overview of how many active chats each agent is handling, helping you manage team capacity.