# 8x8 Contact Center MCP for AI Agents AI Agent Connect > 8x8 Contact Center MCP lets your AI agent act as a real-time supervisor for your contact center. Monitor live queues, agent statuses, and historical interaction logs through a conversational interface. It turns complex contact center metrics into instant answers on call volumes, agent performance, and operational trends without switching tabs. ## Overview - **Category:** customer-support - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_1A2rrxWivItFS0Fw3zvy9BxK83bg9msPckXhoBQG/ai-agent-connect - **Tags:** contact-center, ccaas, call-analytics, queue-management, agent-performance, real-time-metrics ## Description This 8x8 Contact Center MCP turns your AI agent into a real-time supervisor for your contact center. Instead of digging through nested dashboards or refreshing browser tabs to see if the Support queue is backed up, you can just ask your agent for the pulse of the operation. It connects raw contact center metrics to the actual decisions you need to make. You can check if agents are online, see how many calls are waiting in specific queues, or pull historical logs to see how a specific team handled a spike in volume last week. It's about getting a direct, conversational window into your call center's health. By connecting this to the Vinkius catalog, you're giving your agent the access it needs to help you manage your team more effectively. You get to stay in your primary chat interface while your agent handles the manual work of querying live data and auditing past interactions to keep your operations moving. You can quickly see which agents are currently active, identify which queues are hitting capacity, and pull the specific data points needed for your end-of-week reports without ever leaving your chat window. ## Tools ### get_realtime_metrics Get live metrics for your active contact center queues and agents. Use this to see immediate bottlenecks. ### list_agent_interactions List historical agent interactions filtered by date. It's perfect for auditing past call resolutions. ### list_queue_metrics List historical queue performance data. Use this to identify long-term trends in your call center. ## Prompt Examples **Prompt:** ``` What's the status of our 'Sales' queue right now? ``` **Response:** ``` Checking live metrics... The 'Sales' queue currently has 8 calls waiting. 4 agents are **Busy**, 2 are **Available**, and 4 are on **Break**. Would you like me to check the 'Support' queue as well? ``` **Prompt:** ``` Can you pull the interaction logs from last Tuesday? ``` **Response:** ``` I've retrieved the logs for last Tuesday. There were 112 total interactions. I can provide a summary of call durations or resolution statuses if you'd like. ``` **Prompt:** ``` How did the wait times look for the 'General' queue over the last 4 hours? ``` **Response:** ``` Analyzing 'General' queue trends... The average wait time was 32 seconds over the last 4 hours. This is a 12% decrease compared to the same period yesterday. ``` ## Capabilities ### Get live call center stats See current queue volumes and agent statuses instantly. ### Audit past agent calls Pull historical interaction logs with metadata and timestamps. ### Track queue trends Access aggregated performance data to see long-term patterns. ### Check agent availability Ask about specific agent statuses to manage staffing on the fly. ### Filter logs by date Query specific time ranges to find exact operational data points. ## Use Cases ### Handling a sudden call spike A supervisor notices a queue backup and asks the agent for a breakdown of busy agents using get_realtime_metrics. ### Preparing a weekly report An analyst asks the agent to pull queue performance data from the last 7 days using list_queue_metrics. ### Quality assurance review A QA lead asks for all interactions from a specific morning to check for compliance using list_agent_interactions. ### Staffing optimization An ops manager asks the agent to compare queue wait times between two different shifts to adjust schedules. ## Benefits - Stop manual dashboard refreshing: Use get_realtime_metrics to see live queue statuses instantly through your chat interface. - Faster QA audits: Pull specific interaction logs with list_agent_interactions to review agent performance without searching through a complex UI. - Data-driven staffing: Identify long-term trends using list_queue_metrics to predict when you need more agents on the floor. - Instant pulse checks: Ask your agent about specific queue health to get immediate answers on call volumes and wait times. - Precise historical queries: Filter interaction logs by exact date ranges to find specific data points for reporting or troubleshooting. ## How It Works The bottom line is you get a conversational dashboard for your call center metrics without leaving your chat window. 1. Subscribe to this Connector 2. Enter your 8x8 API Key and Client Secret 3. Ask your agent for live metrics or historical logs in any MCP-compatible client ## Frequently Asked Questions **What can the 8x8 Contact Center MCP do for my team?** It gives your AI agent the ability to pull live metrics, audit logs, and check queue health. This means you can get answers about your contact center's performance through a simple chat. **Can I use the 8x8 Contact Center MCP to see live agent statuses?** Yes, it retrieves real-time data on who is busy, available, or on break. You can check these statuses instantly to manage your team's workload. **How does the 8x8 Contact Center MCP help with QA?** It lets you pull specific interaction logs by date to review agent performance. This makes it much faster to find the data you need for quality checks. **Can I get historical data with the 8x8 Contact Center MCP?** Yes, you can pull aggregated queue performance data to see trends over time. This helps you identify patterns in call volumes and wait times. **Does the 8x8 Contact Center MCP work with my current AI client?** It works with any MCP-compatible client like Claude, Cursor, or Windsurf. Once connected, your agent can access all the contact center data. **Is the 8x8 Contact Center MCP good for reporting?** It's great for pulling specific date-range metrics that you can use for reports. You can ask for specific timeframes to get the exact data points you need. **Can I see how many calls are currently waiting in a queue?** Yes. Use the `get_realtime_metrics` tool to see live statistics, including the number of waiting calls and active agent status across all queues. **How do I audit an agent's interaction history?** Use the `list_agent_interactions` tool. You can optionally provide a start and end time range to filter logs for specific periods. **Can I export performance data to other tools?** Your AI agent can retrieve the data using `list_queue_metrics`, which can then be formatted or summarized for use in reports, spreadsheets, or other applications.