ThemeParks.wiki API MCP Server

what is ThemeParks.wiki API MCP Server? ThemeParks.wiki API MCP Server is a server that exposes data from the ThemeParks.wiki API, providing tools to access information about theme parks. how to use ThemeParks.wiki API MCP Server? To use the server, you need to build it as an executable JAR file and configure it with a compatible client like Claude Desktop. You can also run it as a Docker image. key features of ThemeParks.wiki API MCP Server? Retrieve theme park operating hours Get attraction wait times Access show times Various API endpoints for detailed park information use cases of ThemeParks.wiki API MCP Server? Checking real-time wait times for attractions at theme parks. Planning visits by retrieving operating hours for specific parks. Accessing a comprehensive list of attractions and shows available in different parks. FAQ from ThemeParks.wiki API MCP Server? How do I build the server? You can build the server by running ./gradlew build in the project directory, requiring Java 21 or higher. Can I run the JAR file directly? No, the JAR file should be run by a compatible MCP Client like Claude Desktop. Is there a Docker option available? Yes, you can build the server as a Docker image using ./gradlew bootBuildImage --imageName=habuma/tpapi-mcp-server.

As an MCP (Model Context Protocol) server, ThemeParks.wiki API MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the server, you need to build it as an executable JAR file and configure it with a compatible client like Claude Desktop. You can also run it as a Docker image. key features of ThemeParks.wiki API MCP Server? Retrieve theme park operating hours Get attraction wait times Access show times Various API endpoints for detailed park information use cases of ThemeParks.wiki API MCP Server? Checking real-time wait times for attractions at theme parks. Planning visits by retrieving operating hours for specific parks. Accessing a comprehensive list of attractions and shows available in different parks. FAQ from ThemeParks.wiki API MCP Server? How do I build the server? You can build the server by running ./gradlew build in the project directory, requiring Java 21 or higher. Can I run the JAR file directly? No, the JAR file should be run by a compatible MCP Client like Claude Desktop. Is there a Docker option available? Yes, you can build the server as a Docker image using ./gradlew bootBuildImage --imageName=habuma/tpapi-mcp-server.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.