PRO Annual — 50 users, $106.80/year
When Claude uses this 8x8 Work MCP, you stop guessing about communication bottlenecks. Instead, you get direct visibility into call records and extension performance right within your GitScrum board, helping you optimize every workflow.
Claude
ChatGPT
Cursor
Gemini
Windsurf
VS Code
JetBrains
VercelConnected via Vinkius catalog · No credit card
task.delegate()
You assign the task, asking Claude to analyze communication data. For example: 'Claude, audit all calls made by the support team last week and summarize any unusual call volumes.'
Claude automatically invokes the necessary tools, like `list_call_records`, connecting to your telephony data stream via this MCP.
The results arrive as a structured summary or an attached report in the task description, allowing you to review performance metrics and assign next steps immediately.
task.create()
Copy. Paste into a Claude-aware GitScrum task. Done.
I need to know if any team member exceeded their expected call volume last week, but I don't have time to export and sort CSV files.
Claude, please use the 8x8 Work MCP to pull all detailed call records for the 'Support Team' extension from the past seven days. Identify any trends in failed connections or unusually high call volumes that we should address as a project ticket.
Our main client intake line (the ring group) seems busy, but I don't know which extension is failing to pick up calls quickly enough.
Using the 8x8 Work MCP, analyze the last month of data for our primary ring group. Specifically, identify any performance dips or call distribution imbalances so we can create a ticket for IT to review the routing rules.
I need quick proof of how much interaction time specific sales reps are having with high-value clients without digging into individual logs.
Claude, run a report using the 8x8 Work MCP to summarize call activity for our top three Account Executives. Focus on total minutes and number of connections per client segment so we can track resource allocation efficiency.
Tracking call volume and communication efficiency used to mean manually exporting logs from the telecom dashboard, cross-referencing them in a spreadsheet, and then trying to summarize the findings for your team lead. It's slow, error-prone, and pulls you completely out of GitScrum.
Now, Claude reads that raw data directly through this 8x8 Work MCP. You simply delegate the audit task inside GitScrum. The outcome is a clean, actionable summary of communication trends—a true project asset—that lands right where your team needs it.
Open this workflow in GitScrum →Previously, creating a full performance review required coordinating with IT to pull logs and then spending hours compiling metrics for specific ring groups or extensions. This cycle stalled progress because the data wasn't immediately actionable in your workflow.
Claude eliminates that friction. By using this MCP, you instantly turn raw call detail records into structured findings—be it a backlog item, a sprint goal, or an immediate action point. Your project management process runs on real-time communication intelligence.
claude.ask()
I'm trying to figure out if the recent process change impacted our communication flow. Claude, use the 8x8 Work MCP to compare call volume data from last quarter versus this quarter and flag any statistically significant drops.
Can you look at the logs for extension XYZ using the 8x8 Work MCP? I need a quick summary of its performance over the last two weeks so we can update our project documentation.
We've updated our onboarding process. Claude, what communication data does the 8x8 Work MCP show regarding first-time user call patterns that suggests further training is needed?
Using the available tools in the 8x8 Work MCP, generate a prioritized list of telephony issues we should address this sprint, based on performance gaps.
tools.list()
Each tool is one operation Claude runs on your behalf.
| tool_name | operation |
|---|---|
| list_call_records | Claude can pull detailed call journey logs and metadata for all calls across your organization, giving you a complete audit trail. |
| get_extension_summary | The AI agent retrieves instant summaries of call volume and key performance metrics specifically for one or more designated extensions. |
| list_ring_groups | This tool allows Claude to access and analyze performance data points for business ring groups, ensuring optimal call distribution rules are met. |
grade
D
tools
3
auth
Required
catalog
Vinkius
faq.read()
Free for small teams. Set up in 5 minutes. Cancel anytime.
GitScrum lists this MCP as a Vinkius partner. Installations happen on Vinkius.
Connect GitScrum with the tools your team already uses. Native integrations with Git providers and communication platforms.
GitHub
GitLab
Bitbucket
Slack
Teams
Discord
Zapier
PabblyConnect with 3,000+ apps via Zapier & Pabbly
