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ClickHouse
Query ClickHouse data warehouses in real-time.
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"Automated summary for AI agents and search engines."
Query ClickHouse data warehouses in real-time.
{
"title": "ClickHouse",
"url": "https://github.com/ClickHouse/mcp-clickhouse",
"description": "The `mcp-clickhouse` project is an open-source server implementation specifically engineered to facilitate real-time query access to ClickHouse data warehouses within a Multi-Cloud Platform (MCP) environment. It simplifies the integration of ClickHouse into complex distributed architectures, enabling developers and data engineers to perform low-latency analytical operations and build responsive data applications across diverse cloud providers. By abstracting away multi-cloud complexities, it solves the critical problem of unifying and accelerating ClickHouse data access, making high-performance analytics readily available regardless of underlying infrastructure. This ensures seamless data retrieval and analytical processing for even the most demanding enterprise scenarios.",
"useCases": [
"Powering real-time dashboards and visualizations directly from ClickHouse instances spanning multiple clouds.",
"Facilitating cross-cloud data federation for unified analytical queries against geographically distributed ClickHouse clusters.",
"Enabling operational intelligence platforms that require immediate insights from high-volume ClickHouse data.",
"Building custom data-driven applications that demand low-latency data access to ClickHouse from various cloud services."
],
"difficulty": "intermediate",
"exampleCommand": "git clone https://github.com/ClickHouse/mcp-clickhouse.git && cd mcp-clickhouse && docker-compose up -d",
"tokenImpact": "N/A - This tool operates as a server-side component and does not incur direct API token costs through external services.",
"tags": [
"ClickHouse",
"Data Warehouse",
"Real-time Analytics",
"Multi-cloud",
"Database Connector",
"Server",
"Go"
],
"copyButtonText": "Deploy with Docker Compose"
}🚀 The fast, Pythonic way to build MCP servers and clients.
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一个基于 MCP (Model Context Protocol) 的邮件服务,支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能,适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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