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CrateDB MCP Server

@crate

代码仓库主页

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

crate

关于 CrateDB MCP Server

CrateDB MCP Server for natural-language Text-to-SQL and documentation retrieval.

#nlp#sql#mcp#natural-language#sql-query#cratedb#knowledge-base#natural-language-queries#natural-language-understanding#text-to-sql#human-computer-interface#documentation-as-code#ai-sql-assistant#model-context-protocol#mcp-server#mcp-tools#mcp-database-server#mcp-database#model-context-protocol-server#mcp-sql

CrateDB MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

CrateDB MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is CrateDB MCP Server?

The CrateDB MCP Server is a Model Context Protocol (MCP) server that enables natural-language Text‑to‑SQL and documentation retrieval specifically for CrateDB database clusters. It acts as a bridge between AI assistants and CrateDB, letting users analyze data, inspect cluster state, troubleshoot issues, and perform operations through conversational prompts.

How to use CrateDB MCP Server?

For installation and configuration details, refer to the project documentation at https://cratedb-mcp.readthedocs.io/. No specific commands or config keys are described in this README.

Key features of CrateDB MCP Server

  • Connects AI assistants directly to CrateDB clusters.
  • Supports natural language Text‑to‑SQL queries.
  • Retrieves documentation from the CrateDB knowledge base.
  • Enables troubleshooting and operations via conversational prompts.

Use cases of CrateDB MCP Server

  • Querying CrateDB data using plain English instead of SQL.
  • Inspecting cluster state and performance through natural language.
  • Troubleshooting database issues with conversational instructions.
  • Performing operational tasks on CrateDB without writing code.

常见问题

1

What does the CrateDB MCP Server do?

It serves as a bridge between AI tools and your CrateDB analytics database, allowing you to analyze data, cluster state, troubleshoot issues, and perform operations using natural language prompts.

2

What protocol does it use?

It uses the Model Context Protocol (MCP), which standardizes providing context to language models and AI assistants.

3

What is the current status of the server?

The software is in beta stage, so breaking changes may occur. Version pinning is strongly recommended.

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