Muse Dash Mod MCP
An MCP server for Muse Dash mod development. It scaffolds projects, builds and deploys mods, launches the game, checks environment info, and provides documentation and community repository access.
README
Muse Dash Mod MCP
一个面向 Muse Dash 模组开发的本地 MCP(Model Context Protocol)服务器,使用 Python + FastMCP 编写,任何支持本地 stdio MCP 传输的客户端都可以连接。
功能
- 项目脚手架:封装固定版本
MuseDash.Mod.Template 1.0.4,创建 C# / .NET 6 Muse Dash 模组项目 - 开发知识库:提供 MelonLoader、Harmony、IL2CPP、MuseDashMirror、模板参数和构建部署文档
- 构建与部署:编译模组、诊断本机环境;明确调用
deploy_mod才会复制 DLL 到游戏Mods - 社区参考:只读检索 MDMods 仓库和源码文件
环境要求
- Windows
- Python 3.10+
- .NET SDK 8(模板生成的项目目标为
net6.0) - Muse Dash + MelonLoader 0.6.1
MD_DIRECTORY环境变量指向游戏目录,例如:
$env:MD_DIRECTORY = 'G:\Steam\steamapps\common\Muse Dash'
服务器也会尝试探测常见 Steam 安装路径,并支持 MUSE_DASH_PATH 作为备用变量。
安装
cd C:\path\to\musedash-mod-mcp
.venv\Scripts\python.exe -m pip install -e .
如果还没有虚拟环境:
python -m venv .venv
.venv\Scripts\python.exe -m pip install -e .
可选:设置 GITHUB_TOKEN(或 GH_TOKEN)以提高 GitHub API 限额。
通用 MCP 启动方式
服务器使用标准本地 stdio transport。直接运行:
$env:PYTHONPATH = 'C:\path\to\musedash-mod-mcp\src'
C:\path\to\musedash-mod-mcp\.venv\Scripts\python.exe -m musedash_mod_mcp.server
客户端配置通常包含以下字段:
command:Python 可执行文件的绝对路径args:["-m", "musedash_mod_mcp.server"]cwd:项目根目录env.PYTHONPATH:项目的src目录
不同客户端的配置文件和 JSON 外壳名称不同,请以对应客户端的 MCP 设置页面/文档为准。下面是常见客户端采用的配置对象示例:
{
"musedash-mod": {
"command": "C:\\path\\to\\musedash-mod-mcp\\.venv\\Scripts\\python.exe",
"args": ["-m", "musedash_mod_mcp.server"],
"cwd": "C:\\path\\to\\musedash-mod-mcp",
"env": {
"PYTHONPATH": "C:\\path\\to\\musedash-mod-mcp\\src"
}
}
}
工具
| 工具 | 作用 |
|---|---|
create_mod_project |
创建模组项目并填充作者/版本元数据 |
build_mod |
隔离构建并返回 DLL、错误和日志;不会写入真实 Mods |
deploy_mod |
构建后显式、原子地复制主 DLL 到真实 Mods 目录 |
launch_game |
启动 MuseDash.exe(仅在用户明确要求时调用) |
get_environment_info |
检查游戏、MelonLoader、dotnet、模板和已安装 DLL |
list_modding_docs |
列出内置文档主题 |
get_modding_doc |
读取一个主题 |
search_mdmods_repos |
搜索 MDMods 仓库 |
get_mdmods_repo_file |
读取 MDMods 仓库中的文本文件 |
此外还提供 knowledge://musedash/{topic} resources 和 new_mod_workflow prompt。
本地测试
$env:PYTHONPATH = "$PWD\src"
.venv\Scripts\python.exe tests\smoke_test.py
端到端测试建议使用临时输出目录。模板默认的空 Patches/Patch.cs 是示例占位符,若要直接编译空项目,请设置 patching=false,或先填写真实的 Harmony 目标类型和方法。
安全边界
search_mdmods_repos和get_mdmods_repo_file只读访问 GitHub。build_mod使用外部临时目录作为模板复制目标,并清除MD_DIRECTORY;它不是任意 MSBuild 项目的安全沙箱,仍应只构建可信项目。deploy_mod会覆盖 Mods 中同名 DLL,使用前应确认目标路径。launch_game会启动外部游戏进程,应在用户明确要求后调用。
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.