volo-mcp
This server provides private jet charter search, comparison, and quote submission capabilities.
Search available private jet aircraft for a city pair with estimated flight times and cost ranges
Get detailed pricing estimates with itemized cost breakdowns by aircraft category
Compare 2–3 aircraft side by side on specs, pricing, and best use cases
Check discounted empty leg flights by region
Browse VOLO's fleet filtered by category, range, or passenger capacity
Explore popular private aviation destinations by region
Submit formal quote requests with route, date, passengers, and contact details
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@volo-mcp Get a quote for Miami to Aspen, 6 passengers"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
volo-mcp
Give your agent VOLO's evidence base on how AI, robotics and automation are changing specific jobs — task by task, with sources.
VOLO publishes, for 70 occupations and 14 university majors, what is changing in a specific job, what the evidence for that is, and what the evidence does not establish. Every judgement is labelled evidenced or inferred; every verified record carries its source, scope and dates. This package exposes all of it to any MCP client.
v2.0.0 is a different product from v1.x. The 1.x releases were an aviation booking server for an earlier VOLO; that product was retired in September 2026 and its endpoints answer 410. If you installed 1.x, upgrade — the tool names, schemas and purpose have all changed.
Two ways to connect
Remote — any MCP client that speaks Streamable HTTP (recommended):
https://mcp.flyvolo.ai/mcpPublic, read-only, no key, JSON-RPC 2.0, protocol 2025-06-18. Registry name ai.flyvolo/knowledge.
Local — clients that only speak stdio (Claude Desktop, Cursor, Claude Code, CLI tools):
npx volo-mcpThis package is a thin bridge: it forwards every request to the remote server and holds no logic of its own, so it can never drift from what flyvolo.ai shows. Override the endpoint with VOLO_MCP_URL if you run a mirror.
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) · %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"volo": { "command": "npx", "args": ["-y", "volo-mcp"] }
}
}Cursor · Claude Code · other stdio clients
Same shape: command npx, args ["-y", "volo-mcp"].
Claude API (MCP connector — no local install)
{
"mcp_servers": [{ "type": "url", "url": "https://mcp.flyvolo.ai/mcp", "name": "volo" }],
"tools": [{ "type": "mcp_toolset", "mcp_server_name": "volo" }]
}with beta header anthropic-beta: mcp-client-2025-11-20. No authorization_token is needed.
OpenAI Responses API
{ "type": "mcp", "server_label": "volo", "server_url": "https://mcp.flyvolo.ai/mcp", "require_approval": "never" }Related MCP server: mcp-travelcode
Tools
Sixteen, all read-only. locale accepts en or zh (the site itself is in en · zh · ja · es · pt; tool output in the other three is on the roadmap). Start with resolve_occupation_or_major whenever a person names their job or degree.
Tool | Arguments | What it returns |
|
| Resolve a job title, a company's internal name for a role, a nickname or a degree name to a canonical VOLO entity. |
|
| Search occupations, majors and verified change records by keyword. |
|
| Full task-level assessment of one occupation. |
|
| The task breakdown for one occupation. |
|
| Verified evidence records for an occupation, optionally for one task. |
|
| 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. |
|
| Which occupation and which specific tasks a change record bears on. |
|
| The verified change timeline for an occupation, oldest first. |
|
| Options for someone in this occupation. |
|
| For the business side: the functions a company is organised into, and which occupations sit in each. |
|
| A degree and the occupations it feeds. |
|
| Which degrees lead into this occupation. |
|
| 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. |
|
| The full text of one note, section by section, each section with the verified records it rests on. |
|
| Which notes argue from this occupation's own records or task judgements. |
|
| What VOLO covers and what it does not, including which occupations have no evidence yet. |
Every task comes back with its basis and its limits; every record with its scope, stage and source tier. Carry those into the answer — an inferred judgement presented as a finding misrepresents the source.
What these tools will not return
A number of years. "How long do I have?" is answered with a signal the person can check, never a date.
A risk score, probability of job loss, or readiness rating for a person, occupation or major.
A recommendation about who to make redundant, or which vendor to buy.
A verdict on whether a forecast came true. Forecasts are recorded with who said them and when; the arithmetic is left to the reader.
These are enforced by the server's return types, not by a prompt.
Links
Site: https://flyvolo.ai · How to read it: https://flyvolo.ai/llms.txt
Method and evidence stages: https://flyvolo.ai/en/method
Source: https://github.com/weihermans/VOLO (server) · this bridge: https://github.com/weihermans/volo-mcp
MIT.
Available Tools
7 toolscheck_empty_legsA
Check for discounted empty leg flights (repositioning flights at 50-75% off). Great for flexible travelers looking for deals.
Inputs: region.
compare_aircraftA
Compare 2-3 aircraft side-by-side. Shows specs, pricing, and best use cases.
Inputs: aircraft (required).
get_destinationsA
Explore popular private aviation destinations by region. Returns city names and regional highlights.
Inputs: region.
get_fleetA
Browse VOLO's fleet of 15 private jets across 4 categories. Filter by category, passenger count, or range requirements.
Inputs: category, min_passengers, min_range_km.
get_quoteB
Get a detailed pricing estimate for a private jet route. Returns itemized cost breakdown by aircraft category.
Inputs: from (required), to (required), passengers, round_trip.
search_flightsA
Search available private jet aircraft for a city pair. Returns matching aircraft with estimated flight times and cost ranges. Use this when a user mentions a route (e.g., 'New York to London').
Inputs: from (required), to (required), passengers, category.
submit_quoteA
Submit a formal quote request to VOLO's operations team. They respond within 15 minutes during business hours. Requires route, date, and passenger count at minimum.
Inputs: from (required), to (required), date (required), passengers (required), +6 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: empty legs, aircraft comparison, destination exploration, fleet browsing, pricing estimation, route search, and formal quote submission. No two tools overlap in functionality.
All tools follow a consistent verb_noun pattern in snake_case (check_empty_legs, compare_aircraft, get_destinations, etc.) with clear, descriptive verbs.
7 tools is ideal for a private aviation server. It covers all essential actions without being too sparse or overwhelming.
The tool set covers the full workflow from exploration to formal booking submission. Minor gap: no tool for updating or cancelling a quote, but the core lifecycle is well-represented.
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