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MCP Server for Arknights PRTS Wiki & game data

Project description

PRTS MCP Server — Python 实现

明日方舟同人创作辅助 MCP Server,Python 版本。通过 stdio 传输接入 MCP 客户端(Claude Desktop、Claude Code、Chatbox 等),支持 Docker 部署。

提供工具集:search_prts / read_prts_page / get_operator_archives / get_operator_voicelines / get_operator_basic_info / list_story_events / list_stories / read_story / read_activity


快速开始(Docker)

# 从仓库根目录构建(需先预置数据,详见下方)
docker build -f python/Dockerfile -t prts-mcp .

# 运行(named volume 持久化游戏数据,推荐)
docker run -i --rm -v prts-mcp-data:/data/gamedata -v prts-mcp-storyjson:/data/storyjson prts-mcp

接入 MCP 客户端

{
  "mcpServers": {
    "prts_wiki": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-v", "prts-mcp-data:/data/gamedata", "-v", "prts-mcp-storyjson:/data/storyjson", "prts-mcp"]
    }
  }
}

请使用 docker run 而非 docker compose run。后者会向 stdio 流写入进度信息,污染 JSON-RPC 通道。


不使用 Docker(pip install)

pip install -e .

# 需指定游戏数据目录(GAMEDATA_PATH 设置后禁用 auto-sync)
GAMEDATA_PATH=/path/to/ArknightsGameData prts-mcp

数据机制

服务器启动时自动同步两类数据:

镜像内置 bundled 数据作为网络不可用时的离线保底。

PyPI 包本身不内置 bundled 数据;直接 pip install prts-mcp 时会在启动时自动同步,或使用 GAMEDATA_PATH / STORYJSON_PATH 指向你自己的本地数据。正式 Docker 镜像会由 CI 预置兜底数据。


详细文档

docs/deployment.md:完整部署方式、MCP 客户端配置、环境变量参考

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