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crewAI/docs/ko/tools/database-data/singlestoresearchtool.mdx
Tony Kipkemboi 1a1bb0ca3d docs: Docs updates (#3459)
* docs(cli): document device-code login and config reset guidance; renumber sections

* docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections)

* docs: Fix webhook documentation to include meta dict in all webhook payloads

- Add note explaining that meta objects from kickoff requests are included in all webhook payloads
- Update webhook examples to show proper payload structure including meta field
- Fix webhook examples to match actual API implementation
- Apply changes to English, Korean, and Portuguese documentation

Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API.

* WIP: CrewAI docs theme, changelog, GEO, localization

* docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko)

* docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
2025-09-05 17:40:11 -04:00

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---
title: SingleStore 검색 도구
description: SingleStoreSearchTool은 풀링과 함께 SingleStore에서 SELECT/SHOW 쿼리를 안전하게 실행합니다.
icon: circle
mode: "wide"
---
# `SingleStoreSearchTool`
## 설명
SingleStore에 대해 연결 풀링과 입력 유효성 검사를 사용하여 읽기 전용 쿼리(`SELECT`/`SHOW`)를 실행합니다.
## 설치
```shell
uv add crewai-tools[singlestore]
```
## 환경 변수
`SINGLESTOREDB_HOST`, `SINGLESTOREDB_USER`, `SINGLESTOREDB_PASSWORD` 등과 같은 변수를 사용할 수 있으며, 또는 `SINGLESTOREDB_URL`을 단일 DSN으로 사용할 수 있습니다.
SingleStore 대시보드에서 API 키를 생성하세요. [문서はこちら](https://docs.singlestore.com/cloud/reference/management-api/#generate-an-api-key).
## 예시
```python Code
from crewai import Agent, Task, Crew
from crewai_tools import SingleStoreSearchTool
tool = SingleStoreSearchTool(
tables=["products"],
host="host",
user="user",
password="pass",
database="db",
)
agent = Agent(
role="Analyst",
goal="Query SingleStore",
tools=[tool],
verbose=True,
)
task = Task(
description="List 5 products",
expected_output="5 rows as JSON/text",
agent=agent,
)
crew = Crew(
agents=[agent],
tasks=[task],
verbose=True,
)
result = crew.kickoff()
```