Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/rice-awa/mc-mcp-server/project-rulegit clone --depth 1 https://github.com/rice-awa/mc-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/rice-awa/mc-mcp-server/project-rule)<a href="https://agentmods.dev/rules/rice-awa/mc-mcp-server/project-rule"><img src="https://agentmods.dev/badge/rules/rice-awa/mc-mcp-server/project-rule.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00010 | $0.00813 |
| Opus 5 | $0.00005 | $0.00407 |
| Sonnet 5 | $0.00002 | $0.00163 |
| Haiku 4.5 | $0.00001 | $0.00081 |
Grade A, and why
project-rule scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Minecraft MCP服务器文档索引
项目概述
Minecraft MCP服务器是一个集成系统，由两个核心组件组成：AIAgent(MCP-server)负责管理AI工具和处理LLM交互，以及基于WebSocket和脚本API的MC服务器负责处理游戏交互。系统支持两种请求路径：外部MCP客户端调用和游戏内聊天监听。
文档目录
1. 项目需求文档
- 项目需求描述文档 (PRD) - 详细描述项目的核心功能、请求路径、用户交互流程和验收标准
2. 技术规范文档
- 技术架构文档 - 描述系统的整体架构、核心组件和技术栈
- WebSocket通信规范 - 定义客户端与服务器之间的WebSocket通信协议和脚本API集成
- MCP集成规范 - 说明如何集成Model Context Protocol标准和两种请求路径
- development_guidelines.md - 开发的边界限制
3. 外部参考文档
- MCP Python SDK - Model Context Protocol的Python实现参考
- Minecraft脚本API文档 - Minecraft脚本API官方文档
系统组件
- AIAgent (mc-server) - 基于WebSocket和脚本API的服务器，处理游戏交互
- MCP服务器 - 负责管理AI工具和处理LLM交互，通过MCP前端服务器实现外部MCP客户端的访问
请求路径
-
外部MCP客户端路径 - 外部MCP客户端通过AIAgent与Minecraft交互
-
游戏内聊天路径 - 玩家通过游戏内聊天触发AIAgent
项目结构规范
mc-mcp-server/
├── server/
│ ├── __init__.py
│ ├── mc_server.py # WebSocket服务器实现
│ ├── agent_server.py # Agent服务器实现
│ └── utils/
│ ├── __init__.py
│ ├── auth.py # 认证相关工具
│ ├── llm.py # 大语言模型调用工具
│ └── logging.py # 日志工具
│
├── resources/ # MCP资源定义
│ ├── __init__.py
│ ├── player.py
│ └── world.py
├── tools/ # MCP工具定义
│ ├── __init__.py
│ ├── commands.py
│ └── messages.py
├── config/ # 配置文件
│ ├── default.json
│ └── production.json
├── tests/ # 测试目录
│ ├── __init__.py
│ ├── test_mc_server.py
│ └── test_mcp_server.py
├── docs/ # 文档目录
├── main.py # 主入口文件
├── mcp_frontend_server.py # MCP服务器前端
├── requirements.txt # 依赖声明
└── README.md # 项目说明
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 76 lines · 10 tokens per session scan A 33a26a685250
project-rule is a cursor rule published in the GitHub repository rice-awa/mc-mcp-server (4 stars, last pushed 1y ago), licensed MIT. It adds 10 tokens to every session and 813 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
use-context7
Use Context7 MCP to fetch up-to-date documentation when unsure about library APIs, syntax, or behavior instead of guessing from training data.
figma-to-code
Cursor rule "figma-to-code" from dtyq/magic, covering figma to code conversion rules, 设计稿转代码流程, 1. 分析设计稿, 2. 组件拆分策略 and 3. 样式实现规范.
instruct-ut
基于用户的目标，生产 todo list 并按顺序执行.
git_workflow
Git Workflow and Configuration for AGB SDK.
mcp-integration
This plugin integrates Model Context Protocol functionality into Strapi, enabling AI models to interact with Strapi content and system information.
performance-optimization
@rule 性能优化规范 @description 前端应用性能优化的完整指南和最佳实践 @priority high @category performance.