OneHQ Commission Calculator MCP is a MCP server that gives AI assistants direct access to insurance commission calculation and compliance tools. It lets you model distribution hierarchies, calculate exact earnings per agent tier, validate structures against real carrier rules, and look up benchmark contract ranges — all without leaving your AI workflow. The OneHQ Commission Calculator MCP exposes 5 tools: 1. calculate_commission — Computes exact earnings per agent given an annual premium and a hierarchy of contract percentages. Returns direct commissions and override spreads at every tier. Preferred input: annual_premium (number) + agents array with name and contract_pct per tier. Example output: IMO override $1,200 / BGA override $1,200 / Agent direct $10,800 / Total distributed $13,200. 2. build_hierarchy — Takes named tiers and returns a validated, sorted hierarchy ready to feed into calculate_commission. Also provides 4 pre-built templates: Standard BGA, BGA with MGA, Dire
onehq-comissions-calculator is a remote MCP server published at onehq.com. It has been probed 6 times since 9/10/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 477 ms, placing it among the faster endpoints. It offers a narrow, focused set of 5 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
calculate_commission — No explicit parameter schema details providedbuild_hierarchy — No explicit parameter schema details providedvalidate_hierarchy — No explicit parameter schema details providedget_carrier_info — No explicit parameter schema details providedonehq_info — Description lacks actionable use case specificsRisk: medium
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/dante-r-g36u-onehq-comissions-calculator)<a href="https://mcpmetrics.io/servers/dante-r-g36u-onehq-comissions-calculator"><img src="https://mcpmetrics.io/badge/dante-r-g36u/onehq-comissions-calculator/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to see| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-11 13:13:33 | Legacy | 400 | 2708 | 200 | 926 | 2025-11-25 |
| 2026-09-11 11:20:19 | Legacy | 400 | 495 | 200 | 477 | 2025-11-25 |
| 2026-09-11 09:28:19 | Legacy | 400 | 461 | 200 | 428 | 2025-11-25 |
| 2026-09-11 07:35:54 | Legacy | 400 | 574 | 200 | 637 | 2025-11-25 |
| 2026-09-11 05:44:28 | Legacy | 400 | 405 | 200 | 338 | 2025-11-25 |
| 2026-09-10 21:16:35 | Auth-gated | 401 | 341 | 401 | 358 | — |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.