Jinko▌
by gojinko
Jinko — travel booking assistant to easily book flights and hotels, compare prices for cheap flights and hotels, and man
Travel booking assistant with flights and hotel search capabilities
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Travel agents booking client accommodations
- / Building travel booking applications
- / Automating hotel research and reservations
capabilities
- / Search hotels with detailed filters
- / View hotel details with rooms and rates
- / Generate secure booking payment links
- / Browse hotel amenities and policies
- / Load additional search results
- / Access filtering metadata for searches
what it does
Searches and books hotels from over 2 million properties worldwide. Provides detailed hotel information, pricing, and secure booking links.
about
Jinko is an official MCP server published by gojinko that provides AI assistants with tools and capabilities via the Model Context Protocol. Jinko — travel booking assistant to easily book flights and hotels, compare prices for cheap flights and hotels, and man This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Jinko in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Jinko is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Jinko MCP server?
- Jinko is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Jinko?
- This profile displays 31 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★31 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
According to our notes, Jinko benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Diya Shah· Nov 19, 2024
Jinko reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Piyush G· Nov 15, 2024
We wired Jinko into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Diya Park· Oct 10, 2024
Useful MCP listing: Jinko is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Shikha Mishra· Oct 6, 2024
Jinko is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yash Thakker· Sep 25, 2024
I recommend Jinko for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Mei Jain· Sep 17, 2024
Jinko has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Hassan Harris· Sep 1, 2024
Strong directory entry: Jinko surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dev Ndlovu· Aug 20, 2024
I recommend Jinko for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Aug 16, 2024
Strong directory entry: Jinko surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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