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Jinko

Jinko

by kevinjinko · v1.0.0

Research
ClawHub
8.3
/ 10
1 evaluations
1.7k Downloads

Overview

Provide flight search and destination discovery via the Jinko MCP server, enabling the assistant to find routes, prices, and travel ideas based on user-specified origins, budgets, dates, and preferences.

Key Advantages

1.Two focused tools (find_destination and find_flight) that cover both open-ended trip ideas and concrete route searches.
2.Clear, detailed parameter schema (origins, destination lists, date ranges, stay lengths, budget, cabin, direct-only, currency, locale, sorting).
3.Strong guidance on airport and city code handling, including multi-airport cities (NYC, LON, PAR, TYO, etc.) and thematic destination sets (beach, ski, warm in winter, etc.).
4.Designed to be proactive: encourages filling as many parameters as possible and re-calling the tools when user criteria change.
5.Works well as a general trigger for most flight-related intents: searching flights, cheap deals, trip planning, and destination discovery from a given origin.

Use Cases

  • User wants ideas on where to go from a given city within a budget and time window (e.g., “Somewhere warm from Chicago in December for a week”).
  • User wants to compare flights for a specific route with flexible dates or stay lengths (e.g., “NYC to London, 5–10 days in business class”).
  • User is looking for cheap flights from an origin to a region or themed destination set (e.g., “SF to Europe under $800”, “beach destinations from BOS”).
  • User wants to explore the cheapest dates to a single destination (e.g., “Cheapest dates from LAX to Tokyo in November”).
  • User is generally planning a trip and wants deal discovery from their home airport (“Find good flight deals from Miami over the next few months”).

Evaluation Scores

8.3
/ 10
Reliability
7.0
Functionality
8.5
Usability
9.0
Safety
9.0
Performance
7.5
Compatibility
8.0

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.3/103/19/2026
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OS: linux-x64LLM: anthropic/claude-sonnet-4.6
**Judgment:** A well-designed, high-utility flight search and destination-discovery skill that is especially strong for travel planning, deal hunting, and “where should I go?” scenarios. Documentation is detailed and prescriptive, which makes correct tool usage straightforward and reduces integration errors. **Strengths** - Covers both open-ended destination discovery (`find_destination`) and specific route search (`find_flight`). - Rich parameter set (dates, date ranges, stay lengths, budget, cabin class, direct-only, currency, locale, sorting) enables tailored searches. - Clear rules for interpreting user intent (when to use which tool, default to roundtrip, only use oneway when explicit, all dates must be future). - Strong guidance on mapping cities to multiple airports and generating destination IATA codes from thematic criteria (beach, ski, warm in winter, regional groupings). **Key Risks / Limitations** - Hard dependency on the external Jinko MCP server (`https://mcp.gojinko.com`); outages or network issues will break functionality. - Flight data (availability, prices) may be time-sensitive and can diverge from what users see on booking sites; should not be treated as a guaranteed booking quote. - Requires careful date handling: the assistant must ensure all dates are in the future and properly parse “next month”, “in December”, “weekend”, etc. - City/airport code expansion and region-to-IATA mapping rely on the assistant following the documented examples; incorrect mappings can degrade results. **Recommended Scenarios** - Use as the primary tool whenever users ask about flights, cheap deals, or destination ideas from a specific origin. - Use `find_destination` when the user is exploring and has not locked in a destination (or only has vague criteria like climate, activities, or regions). - Use `find_flight` when both origin and destination are known, including when the user wants the cheapest dates for that route. - Avoid positioning it as a booking engine; treat it as a search and discovery assistant whose results should be verified on actual booking platforms.

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