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MCP OI-Wiki

by ShwStone
GitHub
Python
24
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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。

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" ] } } }

Update

可以生成自己的 db/oi-wiki.db。

将 Silicon flow API key 放在 api.key 文件中。

然后运行：

uv run script/request.py

在批量推理页面下载摘要结果到 result.jsonl。

最后运行：

uv run script/gendb.py

生成新的 db/oi-wiki.db。

Thanks

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.

  1. How does it work?
    1. Usage
      1. Update
        1. Thanks

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