mcpField
A
agoda-review-mcp

agoda-review-mcp

Local
github.com/birariroVersion Control2Updated 82w ago
Repository

About agoda-review-mcp

agoda-review-mcp is an MCP server that helps LLMs find reviews for Agoda hotels. It brings positive and negative reviews together to support hotel choices.

Key features

  1. 01Find Agoda hotel reviews
  2. 02Bring positive and negative reviews together

Use cases

  1. 01Gather review perspectives when choosing an Agoda hotel
  2. 02Compare positive and negative feedback about a hotel

MCP support

It exposes Agoda hotel review lookup to MCP clients, helping LLMs retrieve both positive and negative reviews.

#tools#mcp#agoda#spring-ai#model-context-protocol#mcp-server#spring-ai-mcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

agoda-review-mcp

This Model Context Protocol(MCP) server enables Large Language Models (LLMs) to
find 'agoda' hotel reviews

It helps with your choose because you bring positive and negative reviews together

Usage

Prerequisites
  • Java 17 or newer
Steps

1 clone repository

git clone https://github.com/birariro/agoda-review-mcp.git && cd agoda-review-mcp

2 build project

./gradlew build -x test

3 Add the following configuration to your Claude MCP setup

{
  "mcpServers": {
    "agoda-review-mcp-server": {
      "command": "java",
      "args": [
        "-jar",
        "{path}/build/libs/agoda-review-mcp-0.0.1.jar"
      ]
  }

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

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.