# VOLO

> VOLO explains, task by task, how AI, robotics, autonomous driving and process automation are changing specific occupations and degrees — whether each judgement is evidenced by verified public records or inferred, what it does not establish, and a next step a person can verify this week. Six languages (en, zh, ja, es, pt, fr). It never gives a probability of job loss, a year, or an aggregate score. Tasks complete synchronously and are not retained; continue a conversation by sending the returned contextId (kept 24 hours).

- **Domain**: `mcp.flyvolo.ai`
- **Provider**: VOLO (https://flyvolo.ai)
- **A2A protocol version**: 1.0
- **Kind**: a2a_agent
- **Live-responds (last probe)**: True
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 100%

## Skills
- **Ask about an occupation or a degree** — Answers a natural-language question about how automation is changing a specific occupation, task or degree, from VOLO's published assessments and verified recor
- **Structured occupation or degree assessment** — Send a job title or degree name as text, or a data part {"occupation": "<title or slug>", "locale": "en|zh|ja|es|pt|fr"} (or {"major": "..."}). Returns the matc
- **Call a VOLO knowledge tool** — Send a data part {"tool": "<name>", "arguments": {...}} to call any public VOLO knowledge tool — the same tools, with the same arguments and results, as the MCP

## URLs
- Agent card: https://mcp.flyvolo.ai/.well-known/agent-card.json
- Page (HTML): https://agenstry.com/agents/mcp.flyvolo.ai
- Documentation: https://flyvolo.ai/agents
