Which integrations are available for this server?

Processes and returns OI-Wiki content in Markdown format, allowing AI to reference competitive programming documentation and algorithms directly Utilizes Milvus Lite as a vector database to store and retrieve semantic vectors of OI-Wiki content, enabling semantic search capabilities for competitive programming knowledge

How do I use MCP OI-Wiki?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP OI-Wiki explain how to implement Dijkstra's algorithm for shortest path problems" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

mcp-oi-wiki

让大模型拥有 OI-Wiki 的加成！

乘法逆元搜索结果

How does it work?

使用 Deepseek-V3 对 OI-wiki 当前的 462 个页面做摘要，将摘要嵌入为语义向量，建立向量数据库。

查询时，找到数据库中最接近的向量，返回对应的 wiki markdown。

Related MCP server: MCP Code Indexer

Usage

确保你拥有 uv。

首先，下载本仓库：

cd <path of MCP servers>
git clone --recurse-submodules https://github.com/ShwStone/mcp-oi-wiki.git

然后打开你的 MCP 配置文件（mcpo 或 claude）：

{
  "mcpServers": {
    "oi-wiki": {
      "command": "uv",
      "args": [
        "--directory",
        "<path of MCP servers>/mcp-oi-wiki",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}