Humanhours Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Humanhours Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<p align="center"> <a href="https://humanhours.dev"> <img src="https://humanhours.dev/icon.svg" alt="HumanHours" width="96" height="96" /> </a> </p>
<h1 align="center">HumanHours MCP Server</h1>
<p align="center"> <em>Every agent, measured in human hours.</em><br/> <a href="https://humanhours.dev">humanhours.dev</a> · <a href="https://humanhours.dev/docs/mcp">MCP docs</a> </p>
Track agent ROI and enrich companies straight from any MCP client. HumanHours is a remote, hosted MCP server: connect once with your HumanHours account and your agents can log task events, read what they saved, and pull real labour-cost data for any company.
No installation, no API keys to copy around, no local process to run.
| Endpoint | https://mcp.humanhours.dev/mcp |
| Transport | Streamable HTTP |
| Auth | OAuth 2.1 (PKCE) — browser login with your HumanHours account, approve workspace access |
Add it to any client that supports remote MCP servers (Claude Desktop, claude.ai, Cursor, and others). On first use you complete a browser login and approve the scopes below; the client stores a token, so there are no keys to manage by hand.
Add a remote connector pointing at https://mcp.humanhours.dev/mcp and complete the login when prompted.
{
"mcpServers": {
"humanhours": {
"url": "https://mcp.humanhours.dev/mcp"
}
}
}Logging
track_event — Record one agent task event and compute the hours and money it saved.Reading
get_summary — Aggregated ROI for a period, with a daily trend.time_saved_report — Hours saved, grouped by agent, task type, model, client, or time.cost_saved_report — Money saved, grouped the same ways.leaderboard — Top agents by a chosen metric.get_usage — Event usage against the plan's included quota.list_agents — Agents tracked, with 30-day hours and money saved.list_task_types — Built-in plus custom task types.Enrichment
enrich_company — Turn a domain into roles, per-hour wages, and an annual labour-cost case.get_company — Read one enriched company from the library.list_companies — List the workspace's company library, optionally by tag.bulk_enrich — Queue a background job for many domains; returns a job id.get_job — Check the status of a bulk enrichment job.| Scope | Grants |
|---|---|
track:write | Log task events |
read:reports | Read ROI summaries, reports, leaderboards, usage |
enrich:write | Enrich companies and read the company library |
Full connection guide, scopes, and tool reference: https://humanhours.dev/docs/mcp
HumanHours is the ROI meter for AI agents: it measures the hours and money your agents save, and enriches companies with real wage data so every saving is grounded in what the work actually costs. Learn more at https://humanhours.dev.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.