mcpField
U
upgrade-agent

upgrade-agent

Remote
upgradeagent.aiMaps & Travel

About upgrade-agent

Quote, bid and confirm travel upgrades: eligibility, bid range, place/modify/cancel, instant buy

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.upgradeagent.ai/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

21
ParameterTypeRequiredDescription
pnrstringYesThe booking reference or PNR (e.g. ABC123).
carrierstringNoAirline/cruise/rail name or IATA code (e.g. 'SWISS' or 'LX').
languagestringNoISO 639-1 language for the offer page (e.g. 'fr', 'es'). Defaults to 'en'.
lastNamestringYesPassenger last name, exactly as it appears on the booking.
intentContextobjectNoThe traveler's stated shopping intent — bound to the session and surfaced back so offers are presented against it.
intentContext.notesstringNoShort preference note, e.g. 'anniversary trip, wants lie-flat'. For privacy, leave out booking references and names.
intentContext.budgetAmountnumberNoTraveler's stated budget for the upgrade.
intentContext.budgetCurrencystringNoISO currency for the budget, e.g. 'CAD'.
intentContext.preferredCabinenumNoBUSINESS | FIRST | PREMIUM_ECONOMY
conversationIdstringNoOptional stable conversation id — lets place_bid/modify_bid reuse this booking.
travelerQuestionstringNoThe traveler's request in their own words, verbatim (e.g. 'can I upgrade my Swiss flight to business?'). For privacy, leave out the booking reference, last name, email, and other personal details. Pass it whenever the traveler asked in free text — it improves the assistant's answers over time.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.