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Connect 8x8 Contact Center to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get instant operational insights without complex dashboards.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through 8x8 Contact Center.

  1. 01

    Get realtime metrics

    Get live contact center metrics

  2. 02

    List queue metrics

    List historical queue performance

  3. 03

    List agent interactions

    Filter by date to audit historical call resolution metadata. List historical agent interactions

Real work

What teams actually run

01

Checking live call volumes

You ask, 'What's the status of the Support queue?' and immediately get the number of waiting calls and agent availability.

02

Optimizing staffing

An Operations Manager reviews historical queue metrics to determine if staffing needs changing next quarter.

03

Performance reviews

A QA team member pulls all interaction logs for a specific agent during a given week for review.

04

Reporting metrics

A Business Analyst queries the system for all call metrics between two specific dates to build a report.

Automate a task

Put 8x8 Contact Center to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

8x8 Contact Center works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put 8x8 Contact Center to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

793ms average. Fast in production.

8x8 Contact Center is checked daily against the live service.

Daily averagePeak 908ms
Oct 3Today
Fastest day
633ms
Slowest day
908ms
14-day trend
Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of 8x8 Contact Center, so you can see the experience inside your AI.

It does not authenticate your account with 8x8 Contact Center. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

8x8 Contact Center Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_1A2rrxWivItFS0Fw3zvy9BxK83bg9msPckXhoBQG/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — 8x8 Contact Center capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "8x8-contact-center-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1A2rrxWivItFS0Fw3zvy9BxK83bg9msPckXhoBQG/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up 8x8 Contact Center in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work 8x8 Contact Center owners hand off.

This MCP is built for teams that manage high-volume customer support operations. It gives supervisors and managers a single, conversational point of access to complex contact center data. You can audit performance and optimize staffing without needing to jump between multiple analytics dashboards.

  • 01

    Contact Center Supervisors

    Perform real-time pulse checks on queue health and agent status without complex dashboards.

  • 02

    Operations Managers

    Audit historical interaction logs and performance trends to optimize staffing levels.

  • 03

    Quality Assurance Teams

    Quickly retrieve specific agent interaction metadata for performance reviews.

  • 04

    Business Analysts

    Extract contact center metrics for reporting through natural language queries.

FAQ

Questions 8x8 Contact Center owners ask.

  • 01

    What kind of data can I get from this MCP?

    You can get live statistics for active queues and agents. You can also access aggregated historical performance data, and detailed logs of agent interactions, filtering by specific dates.

  • 02

    Does this work with my existing 8x8 setup?

    Yes, this MCP is designed to connect to your 8x8 Contact Center using your API Key and Client Secret. You'll need those credentials to authenticate the connection.

  • 03

    Can I check historical data?

    Absolutely. You can review historical agent interactions and queue performance. You can even filter these logs by specific date and time ranges.

  • 04

    Which AI clients can I use with this MCP?

    You can connect this MCP using any MCP-compatible client, including Claude, Cursor, and Windsurf. The connection process is managed through Vinkius.

  • 05

    Is this just for live metrics?

    No. While it provides real-time monitoring, its strength is in auditing. You can pull deep historical data on both queues and individual agents.

  • 06

    Can I see how many calls are currently waiting in a queue?

    Yes. Use the get_realtime_metrics capability to see live statistics, including the number of waiting calls and active agent status across all queues.

  • 07

    How do I audit an agent's interaction history?

    Use the list_agent_interactions capability. You can optionally provide a start and end time range to filter logs for specific periods.

  • 08

    Can I export performance data to other capabilities?

    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.

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