io.github.bsunter93/staffing-math · v0.3.1 · sales-and-crm
Staffing Math is healthy: it completed an MCP handshake in 779 ms and exposes 3 tools.
Exact staffing math: FTE needed, a monthly hiring plan, and Erlang C queue staffing.
Endpoint: https://staffing-math.vercel.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 3 |
| Latency | 779 ms |
| Last checked (UTC) | 2026-11-06T03:10:46.947Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-06T03:10:46.947Z | Healthy | 779 |
required_fte | How many people a steady workload needs. Give weekly volume and minutes per case; shrinkage, target occupancy and hours per week fall back to stated defaults. Returns FTE, people to staff (rounded up), every input marked given or assumed, and the arithmetic with numbers filled in. Use hiring_plan wh |
hiring_plan | Month-by-month hiring plan: how many requisitions to open each month so FTE on hand keeps up with FTE needed, after attrition, time to hire and ramp. Give weekly_volume with monthly_growth (0.05 means 5% a month, compounding), or weekly_volume_by_month. Unknown inputs fall back to stated defaults: c |
erlang_staffing | Agents needed on a live queue (phone, chat) to answer a target share of contacts within a target time, using Erlang C. Give contacts per hour for the interval being staffed (usually the busiest hour) and handle time in seconds. Returns agents needed, the service level at that number and at one fewer |