MCP server

Flyvolo Knowledge Official

ai.flyvolo/knowledge

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Sourced, task-level facts on how AI changes jobs, for agents answering 'what should I do?'

Website Source

At a glance

Type

MCP server

Publisher

flyvolo.ai (verified by the MCP Registry)

Status

Working at last check

Tools

19

Token cost

About 2,552 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http knowledge https://mcp.flyvolo.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.knowledge]
url = "https://mcp.flyvolo.ai/mcp"

Gemini CLI

{"mcpServers":{"knowledge":{"httpUrl":"https://mcp.flyvolo.ai/mcp"}}}

Cursor

{"mcpServers":{"knowledge":{"url":"https://mcp.flyvolo.ai/mcp"}}}

VS Code

{"servers":{"knowledge":{"type":"http","url":"https://mcp.flyvolo.ai/mcp"}}}

Antigravity

agy mcp add knowledge https://mcp.flyvolo.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"knowledge","server_url":"https://mcp.flyvolo.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"knowledge","server_url":"https://mcp.flyvolo.ai/mcp"}

Tools

• describe_coverage ~153 tokens
  What VOLO covers and what it does not: the full list of covered occupations and degrees (slug and name), which occupations have no evidence yet, and the counts. Call this when someone asks whether their job is covered, and whenever resolve_occupation_or_major returns null — then decide from the list
• find_affected ~64 tokens
  Which occupation and which specific tasks a change record bears on.
• find_evidence ~126 tokens
  Verified evidence records for an occupation, optionally for one task. Each record carries its scope (where it applies), its stage, whether that stage can move a task judgement at all, and its source tier. Repeat the scope rather than smoothing it away.
• find_majors_for_occupation ~62 tokens
  Which degrees lead into this occupation.
• find_notes ~165 tokens
  VOLO's long-form answers to the big questions — how many jobs AI has actually taken, what actually gets automated, how long someone has, what AI law already changed, where AI lands in a company. Call this FIRST for any question that is about the whole picture rather than one occupation: those are ex
• find_notes_for_occupation ~89 tokens
  Which notes argue from this occupation's own records or task judgements. Use it to point someone from their own page to the wider answer.
• find_transition_paths ~111 tokens
  Options for someone in this occupation. Every path carries its real constraints (time, pay cut, seniority) and one action they can take this week that produces information. Never present a path without its constraint.
• get_action_brief ~295 tokens
  Use this when a person asks what they should do about AI or automation in their job ("I'm an accountant, how do I stay employable?"). One call returns, task by task: where the task is heading and how strong the evidence is; which laws, regulators, courts or collective agreements keep that task (or i
• get_change ~85 tokens
  One verified change record by id, with VOLO's reading: what it means, what it does not yet establish, and what a reader can verify themselves.
• get_change_history ~65 tokens
  The verified change timeline for an occupation, oldest first.
• get_major ~94 tokens
  A degree and the occupations it feeds. There is no score for a major and never will be — answer 'should I switch majors' by pointing at where it leads and what transfers.
• get_note ~90 tokens
  The full text of one note, section by section, each section with the verified records it rests on. Use it when you need to quote or cite rather than summarise.
• get_occupation ~124 tokens
  Full task-level assessment of one occupation. Every task carries direction, basis (evidenced vs inferred) and limits — what that judgement does NOT establish. The impact index is not a probability of job loss and never appears without its confidence and assessment date.
• get_ontology ~281 tokens
  Where an occupation or a degree sits in the official classifications (U.S. Department of Labor O*NET 31.0; U.S. Department of Education CIP–SOC crosswalk; the EU's ESCO, the ILO's ISCO-08 and Singapore's SSOC 2024): the matching codes with how well each fits, the skills, knowledge and work activitie
• get_role_tasks ~74 tokens
  The task breakdown for one occupation. The unit of assessment is the task, never the job title.
• list_business_functions ~84 tokens
  For the business side: the functions a company is organised into, and which occupations sit in each. Use this when someone describes a company rather than themselves.
• query_ontology ~209 tokens
  Walk the VOLO Ontology directly. No arguments: the object types and link types. `type`: the objects of that type. `type` + `id`: one object's properties and everything it links to, grouped by link. Add `link` (and `direction`: out|in) to follow one link. Types include Occupation, Task, TaskJudgement
• resolve_occupation_or_major ~300 tokens
  Resolve a job title, a company's internal name for a role, a nickname or a degree name to a canonical VOLO entity. Call this FIRST whenever a person names their job. It matches names; it does not read sentences — so work out yourself which job the person means and pass only that title, in the singul
• search ~81 tokens
  Search occupations, majors and verified change records by keyword. Returns entries, not judgements.

Browse

• Legal research

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