How to Use the 8x8 Contact Center MCP in Windsurf

Q: How do I view 8x8 Contact Center metrics in Windsurf?

Add the server configuration to your mcpconfig.json file. Once connected, Cascade will see the available tools and pull the data whenever you ask a relevant question.

Use 8x8 Contact Center data directly in Windsurf to track queue health and agent performance without leaving your editor.

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Connect 8x8 Contact Center MCP to Windsurf

Create your Vinkius account to connect 8x8 Contact Center to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 8x8 Contact Center with Windsurf

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Monitor live queue data in Windsurf

Cascade pulls live stats through `get_realtime_metrics` to keep your dashboard updated. You get a clear view of current wait times and active calls as they happen. This MCP Server provides the raw numbers you need to spot spikes. Cascade reacts to these figures to adjust your logic or suggest immediate changes to your support flow.

Audit agent logs with Windsurf

Run `list_agent_interactions` to pull specific call metadata into your workspace. You can filter by date to find exactly when a resolution process stalled or succeeded. Having this data inside your IDE allows you to cross-reference performance with code commits. It bridges the gap between support outcomes and technical deployments.

Analyze historical trends in Windsurf

Use `list_queue_metrics` to pull historical performance snapshots into your current session. You can identify patterns in busy periods to help plan staffing needs. Windsurf reads these reports to help you build better automated responses. It keeps the context local so you aren't jumping between browser tabs.

Setup guide

Set up 8x8 Contact Center MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the 8x8 Contact Center MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my 8x8 Contact Center payment history." If connected, Cascade will call the 8x8 Contact Center tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "8x8-contact-center-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 8x8 Contact Center. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about 8x8 Contact Center MCP in Windsurf

Add the server configuration to your `mcp_config.json` file. Once connected, Cascade will see the available tools and pull the data whenever you ask a relevant question.

Yes, Cascade can chain tool calls to analyze your metrics and suggest code changes. It acts on the data retrieved from the server to help you fix issues faster.

It does. You can use the built-in marketplace to add it or input the URL manually in your settings. Refresh the panel to make the tools active.

Your data stays between your local instance and the API. We don't store or log your interaction history on our servers.

They are stored locally in your config file. They never leave your machine when you query the API for call logs or queue stats.

Use it with your favorite AI tools

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