Dida-Hotel-MCP-Global: Official DIDA Hotel Booking MCP Server

by DIDA-AI · MCP Server · ★ 81

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Dida-Hotel-MCP-Global

git clone https://github.com/DIDA-AI/dida_hotel_mcp_global.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-workflowsai-agentsbooking-enginechatgptclaude-mcpclaude-mcp-servercodex-mcpcursor-mcpdida-travelfunction-calling

Quick Facts

Stars81
Forks3
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69/100
Last Updated2026-09-08
Created2026-07-07
Platformsclaude-code, codex, mcp, python
Est. Tokens~18k

About Dida-Hotel-MCP-Global

Dida Hotel MCP — Hotel Search & Booking 🏠 Apply Key · 🚀 Quick Start · 📚 Examples · 💬 Support · 🔍 Q&A · ✈ About Dida · 💰Earn with Dida This is an official MCP server empowers AI Agents to search, compare, and book over 2 Million hotels globally.

Compatible Skills

These tools work well together with Dida-Hotel-MCP-Global for enhanced workflows:

  • FloatTrip — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • CatGPT-Gateway — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

Dida-Hotel-MCP-Global alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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