Bannerlord MCP Server: AI Access to Game Data and Mods

Bannerlord MCP Server: AI Access to Game Data and Mods

The Bannerlord MCP Server is a specialized Model Context Protocol (MCP) server designed to provide AI agents with direct, structured access to Mount & Blade II: Bannerlord's game data and modding ecosystem. This tool bridges the gap between AI development and game modding, enabling sophisticated AI agents to interact with and understand the game's internal mechanics, configurations, and modifications. By offering a standardized API, it simplifies the process of building AI-powered tools for Bannerlord, from analysis to automated gameplay.

What it Does

This MCP server acts as an intermediary, exposing Bannerlord's core data and mod information through a queryable interface. AI agents can leverage this server to perform complex operations such as searching through decompiled game source code, browsing XML configuration files, executing gameplay-related queries, and managing installed mods. This allows for the creation of AI agents capable of understanding game logic, identifying mod conflicts, or even generating game-related content based on real-time data.

Key Features

• Decompiled Source Search: Enables AI agents to search and analyze the game's decompiled source code for specific functions, variables, and logic.
• XML Data Browsing: Provides structured access to game configuration files (XML), allowing AI to read and understand unit stats, item properties, and other game parameters.
• Gameplay Queries: Supports direct queries about the current game state, unit behaviors, and other dynamic gameplay elements.
• Mod Management: Offers functionalities to query and potentially manage installed mods, facilitating analysis of mod interactions and compatibility.
• MCP Protocol: Adheres to the Model Context Protocol, ensuring standardized communication between AI agents and the game environment.

Who it's For

This tool is specifically for developers building AI agents and tools for Mount & Blade II: Bannerlord. It is ideal for:

• AI Researchers: Exploring AI interaction with complex game environments.
• Mod Developers: Creating AI-driven mod features or analyzing mod compatibility.
• Game Analysts: Developing tools for in-depth game data analysis.
• Automation Engineers: Building agents for automated gameplay tasks or testing.