MCPMC (Minecraft Model Context Protocol) is a Model Context Protocol (MCP) server designed to interact with Minecraft via Mineflayer. It allows AI agents to control Minecraft bots using a standardized JSON-RPC interface, supporting features like navigation, block manipulation, inventory management, and real-time game state monitoring.
MCPMC provides full MCP compatibility for seamless integration of AI agents into Minecraft environments. Built on Mineflayer, it ensures reliable interaction with the game while offering a type-safe API with TypeScript support for developers.
MCPMC is aimed at developers and AI researchers who want to integrate AI agents with Minecraft. It is also suitable for Minecraft enthusiasts interested in bot automation and advanced gameplay mechanics.
MCPMC can be installed via package managers like npm, yarn, or bun. The server runs locally and communicates via stdin/stdout using the Model Context Protocol (MCP).
The latest updates to MCPMC were made on December 23, 2024, as indicated by the timestamps on files such as jest.config.js, knowledge.md, package-lock.json, and others.
You can install MCPMC using npm, yarn, or bun. For example: `npm install @gerred/mcpmc`, `yarn add @gerred/mcpmc`, or `bun add @gerred/mcpmc`.
To start the MCP server, simply run the command `mcpmc`. The server will communicate via stdin/stdout using the Model Context Protocol.
For development, you can use commands like `bun install` to install dependencies, `bun test` to run tests, `bun run build` to build the project, and `bun run inspector` to run the MCP inspector.
Yes, contributions are welcome! You can fork the repository, create a new branch for your feature, write tests, make changes, ensure tests pass, and submit a pull request. Make sure to follow the existing coding style and update tests accordingly.
MCPMC is licensed under the MIT License, which allows free use, modification, and distribution of the software without restriction, provided the copyright notice and permission notice are included.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.