MoodTrip Hotel Search Skill

---

name: moodtrip-hotel-search

description: Search, compare, evaluate, and hand off hotel bookings using the MoodTrip.ai MCP server (api.moodtrip.ai). Use this skill whenever the user mentions hotels, accommodation, lodging, stays, travel bookings, hotel search, hotel comparison, hotel reviews, hotel pricing, or anything related to finding or booking a place to stay. Also trigger when the user asks about hotel amenities, room types, check-in/check-out logistics, travel destinations with accommodation needs, or says things like "find me a hotel", "where should I stay", "book a room", "hotel recommendations", or "compare hotels". This skill connects to the MoodTrip MCP server which provides real-time hotel inventory, pricing, semantic search, reviews, and booking link handoff via LiteAPI.

---

# MoodTrip Hotel Search Skill

Pre-flight Check — EXECUTE THIS FIRST

Before attempting any hotel search, verify MoodTrip tools are accessible.

**Step 1: Check for tools directly.**

Look for any of these tools in your available tool list: `search_hotels`, `get_hotel_details`, `searchHotelsWithRates`, `findHotels`, `search_hotels_by_description`, `build_booking_link`

If ANY of these tools are found → skip to Decision Rules and proceed normally.

**Runtime detection:** If you are running on OpenClaw, Codex, or any OpenAI-compatible runtime that validates tool schemas strictly, **prefer `search_hotels` and `get_hotel_details`** over `searchHotelsWithRates` and `getHotelDetails`. The wrapper tools have identical functionality with OpenAI-compliant schemas (no `anyOf`/`oneOf` at top level).

**Step 2: Check if MCP server is already configured.**

If tools are not in your direct tool list, check whether `api.moodtrip.ai` or `moodtrip` is already configured as an MCP server anywhere in your platform config — including under any of these paths:

This skill ships with `.mcp.json` and `_meta.json` files that declare the MCP server configuration. If your platform reads these files from skill folders, the server should be auto-configured on install.

If these files are missing from the skill folder, this is an older version. Suggest the user update: `clawhub update adiny/moodtrip-hotel-search` or `openclaw skills update`

If the server IS configured but tools are not showing, this is likely a **tool loading/exposure issue in the current session**, not a missing connection. Restart the session or gateway if appropriate — some platforms only load MCP tools at session start.

**Step 3: Auto-connect on OpenClaw when possible.**

If the server is NOT configured and you are running inside OpenClaw with config-edit capability:

- Add to config: `mcpServers.moodtrip = { "command": "npx", "args": ["-y", "mcp-remote@latest", "https://api.moodtrip.ai/api/mcp-http"] }`

- This wraps the HTTP MCP server as a stdio process that OpenClaw can load.

OpenClaw-specific rule:

**Step 4: Fallback if auto-connect is not possible.**

Only if auto-connect is not possible:

> "MoodTrip's hotel search tools aren't connected yet. Please add this MCP server in your platform settings:

> **URL:** `https://api.moodtrip.ai/api/mcp-http`

> No credentials required. For setup: https://github.com/adiny/moodtrip-hotel-search"

**CRITICAL:** Do NOT hallucinate hotel results. Do NOT call tools that don't exist. Do NOT attempt curl/fetch workarounds. If tools cannot be verified after all steps, help the user connect or restart the session.

---

This skill enables the agent to search, compare, evaluate, and hand off hotel bookings through the MoodTrip.ai MCP server. The server exposes 11 core tools covering the full hotel discovery-to-booking-handoff workflow.

Booking is link-based: the agent helps users find and compare hotels, then provides a direct booking URL. The user completes the reservation on the MoodTrip website.

Connection

**MCP Server URL:** `https://api.moodtrip.ai/api/mcp-http`

**Protocol:** MCP Streamable HTTP (JSON-RPC 2.0)

**Authentication:** Public read-only API — no credentials required. The server accepts only hotel search queries and returns publicly available hotel data.

For platform-specific setup instructions (Claude.ai, Claude Desktop, ChatGPT, OpenClaw), see: https://github.com/adiny/moodtrip-hotel-search

Quick Setup by Platform

| Platform | How to Connect |

|----------|---------------|

| OpenClaw | Uses stdio bridge via `mcp-remote` (bundled in `.mcp.json`); or `clawhub install adiny/moodtrip-hotel-search` |

| Claude Desktop | Add to `claude_desktop_config.json` — see GitHub README |

| ChatGPT | Add as MCP integration in platform settings |

| Any MCP client | Connect to `https://api.moodtrip.ai/api/mcp-http` |

Privacy & Data Handling

Decision Rules

Before calling any tool, apply these rules to pick the right one:

| Condition | Tool |

|-----------|------|

| **OpenClaw / Codex runtime** — always prefer wrapper tools | Use `search_hotels` instead of `searchHotelsWithRates`, `get_hotel_details` instead of `getHotelDetails` |

| User has dates + destination + wants prices | `search_hotels` (preferred) or `searchHotelsWithRates` |

| User describes a vibe, mood, or style | `search_hotels_by_description` |

| User asks about one specific hotel | `get_hotel_details` (preferred) or `getHotelDetails` or `ask_about_hotel` |

| No pricing needed yet / just browsing | `findHotels` |

| User wants reviews or guest opinions | `getHotelReviews` |

| User wants to find a specific room type or match a photo | `search_rooms_by_description` |

| Previous search returned no results | `relaxConstraints` |

| User asks "when is cheapest to visit X?" | `getCityPriceIndex` |

| User wants price trends for specific hotels | `getHotelPriceIndex` |

| After search, to help user decide | `summarizeResults` |

Available Tools (11 core tools)

| Tool | Purpose | When to Use |

|------|---------|-------------|

| `search_hotels_by_description` | AI-powered natural language hotel search | Vibe/style searches ("romantic getaway", "boutique with rooftop") |

| `searchHotelsWithRates` | Search with real-time pricing | When user has specific dates and needs prices |

| `findHotels` | Metadata search (no pricing) | Browsing/exploring without specific dates |

| `getHotelDetails` | Full hotel info + optional pricing | Deep-dive into a specific hotel |

| `getHotelReviews` | Guest reviews + optional sentiment | User wants to hear what others say |

| `ask_about_hotel` | AI Q&A about a specific hotel | "Does this hotel have parking?" type questions |

| `search_rooms_by_description` | Text-based room search | Find specific room types |

| `summarizeResults` | AI summary of search results | After a search, to help user decide |

| `getHotelPriceIndex` | Historical price trends per hotel | Price comparison over time |

| `getCityPriceIndex` | City-level price trends | "When is Paris cheapest?" |

| `relaxConstraints` | Broaden a failed search | When search returns no results |

Agent Builder Tools (preferred on OpenClaw / Codex runtimes)

If your runtime uses OpenAI/Codex tool validation (e.g. OpenClaw), **use these tools instead of the core equivalents**. They have identical functionality with OpenAI-compliant schemas — no `anyOf`, `oneOf`, `allOf`, `enum`, or `not` at the top level.

On other platforms (Claude, ChatGPT, generic MCP clients), the core tools work fine and these are optional.

| Tool | Purpose | Key Parameters |

|------|---------|----------------|

| `search_hotels` | **Use instead of `searchHotelsWithRates`** — extended search with pricing | `query` (natural language), `city`, `country`, `checkIn`, `checkOut`, `adults`, `maxPrice`, `minRating` |

| `get_hotel_details` | **Use instead of `getHotelDetails`** — hotel details with pricing | `hotelId`, `checkin`, `checkout`, `adults`, `currency` |

| `build_booking_link` | Generate booking/gallery URLs from a hotelId | `hotelId` (required), `checkin`, `checkout`, `adults`, `children` (array of ages 0–17, max 6), `currency` |

These tools are exposed via the same MCP server and are always available alongside the core tools.