Monitor Minecraft servers with PostgreSQL support via Docker, API, and seamless deployment.
Aoirint_mcping_server is a powerful tool designed to monitor multiple Minecraft Bedrock and Java servers, providing real-time status updates and ensuring seamless operation through regular checks and updates. It leverages PostgreSQL for persistent data storage and comes with a web API that offers robust read and write access via secure authentication based on API keys.
Aoirint_mcping_server not only monitors the health of Minecraft servers but also maintains their configurations through regular updates, which are critical for smooth server operations. By integrating with various AI applications such as Claude Desktop, Continue, and Cursor (as shown in our compatibility matrix), this server enhances their functionalities significantly.
+-----------------+-----------+-------+---------+------------+
| MCP Client | Resources | Tools | Prompts | Status |
+-----------------+-----------+-------+---------+------------+
| Claude Desktop | ✅ | ✅ | ✅ | Full Support|
| Continue | ✅ | ✅ | ✅ | Full Support|
| Cursor | ❌ | ✅ | ❌ | Tools Only |
+-----------------+-----------+-------+---------+------------+
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
The Aoirint_mcping_server adopts a modular architecture, with each component serving specific functions. It uses Docker Compose for easy deployment and management of the server components. The core components include:
This integration via Docker ensures flexibility, scalability, and ease of maintenance.
Imagine you're developing a healthcare application that requires real-time status updates from Minecraft servers used in educational games. By integrating Aoirint_mcping_server with your AI application (e.g., Claude Desktop), you can monitor server health, ensuring constant availability of content and features. This integration enhances the reliability of your application by leveraging MCP for seamless communication.
Consider a scenario where an educational platform uses Minecraft servers to host interactive learning modules. By using Aoirint_mcping_server, administrators can schedule regular updates to these servers based on new Java and Bedrock versions (1.20.x). This ensures that all content delivered through the platforms remains up-to-date and compatible with modern game features.
To get started with deploying Aoirint_mcping_server, create a new directory for your project and copy the following files:
docker-compose.ymltemplate.env which should be renamed to .envNext, configure these files according to your needs. The Docker Compose file will handle starting all necessary services.
docker compose up -d
Once the containers are running, apply database migrations to set up the necessary tables and configurations:
docker compose run --rm migrate -path=/migrations -database="postgres://postgres:postgres_password@postgres:5432/postgres?sslmode=disable" up
Aoirint_mcping_server is designed to support a variety of use cases, particularly where real-time monitoring and automated updates are critical. For instance:
Integration with AI workflows such as those seen in education platforms, gaming services, or even internal organizational tools can be greatly enhanced by this capability.
To integrate Aoirint_mcping_server with any of the supported clients (Claude Desktop, Continue, Cursor), ensure that your application or service is configured to communicate through the MCP Protocol. The official documentation for each client will guide you on how to set up the correct configuration and authentication.
For compatibility purposes, refer to the MCP Client Compatibility Matrix provided earlier. This ensures that your AI application can leverage all functionalities of Aoirint_mcping_server without any issues related to specific API versions or features.
Aoirint_mcping_server is compatible with a range of Minecraft server versions (Bedrock 1.20.x, Java 1.20.x). It also supports various databases and APIs via its modular design, ensuring that different types of data sources can be integrated as needed.
Advanced configurations allow users to customize the behavior of Aoirint_mcping_server based on their specific needs. Key areas for customization include:
Configuration sample:
{
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Contributions from the community are welcome. To contribute, follow these steps:
Additionally, adhere to our code of conduct and ensure all contributions align with project goals.
Explore the broader MCP ecosystem for additional tools and resources:
Stay updated with the latest developments in Model Context Protocol by following official blogs and social media channels.
By leveraging Aoirint_mcping_server, developers can significantly enhance the capabilities of their AI applications, ensuring reliable server monitoring and dynamic configuration updates. This document covers all essential aspects of integrating and utilizing this powerful tool for real-world AI workflows.
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