search
Retrieve precise competitive programming knowledge from OI-Wiki by submitting detailed queries about algorithms or techniques, such as finding a graph's minimum spanning tree or managing interval operations.
Instructions
OI Wiki 致力于成为一个免费开放且持续更新的编程竞赛知识整合站点，大家可以在这里获取与竞赛相关的、有趣又实用的知识。本工具能够在 OI-wiki 中搜索相关的知识点。
query 应该比较详细，与要实现的算法/目标相关。比如：“求一个图的最小生成树”，“维护区间加/区间求和”
@ param query 描述要实现的需求
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Implementation Reference
- main.py:8-17 (handler)The handler function for the MCP 'search' tool, decorated with @mcp.tool(). It takes a query string and delegates to the database search method.
@mcp.tool() async def search(query: str): """ OI Wiki 致力于成为一个免费开放且持续更新的编程竞赛知识整合站点，大家可以在这里获取与竞赛相关的、有趣又实用的知识。本工具能够在 OI-wiki 中搜索相关的知识点。 query 应该比较详细，与要实现的算法/目标相关。比如：“求一个图的最小生成树”，“维护区间加/区间求和” @ param query 描述要实现的需求 """ return db.search(query) - main.py:8-8 (registration)The @mcp.tool() decorator registers the 'search' function as an MCP tool.
@mcp.tool() - main.py:9-9 (schema)Function signature defining the input schema: query as str.
async def search(query: str): - database.py:33-46 (helper)The helper search method in OIWikiDB class that performs vector search using Milvus and retrieves the content of the most relevant OI-Wiki document.
def search(self, query : str) : qvectors = list(self._embedding_model.embed([query])) results = self._client.search( collection_name=self._collection_name, data=qvectors, limit=1, output_fields=["path"] ) path = os.path.join(self._docs_dir, results[0][0].entity.path) with open(path, 'r') as f: res = f.read() return res - main.py:6-6 (helper)Instantiation of the database instance used by the search tool.
db = OIWikiDB()