aliyun

The alibabacloud-tablestore-mcp-server is a Java-based server designed to utilize Alibaba Cloud's Table Store. It efficiently handles data storage, retrieval, and management, offering excellent scalability and performance. Particularly suited for large-scale data processing, it meets the needs for real-time analytics and data storage.

AlibabaCloud CloudOps MCP Server

MCP server for RDS Services via OPENAPI.

mcp-server-esa is a server application built with TypeScript that offers efficient data processing and API management. It is packed with features that help developers quickly launch projects and is highly extensible. The documentation is comprehensive, making it accessible for users ranging from beginners to intermediate developers.

The Hologres MCP Server serves as a universal interface between AI agents and Hologres databases. This tool facilitates seamless communication, allowing AI agents to retrieve metadata from Hologres databases and execute SQL operations. It enhances the capabilities of AI systems, particularly those focused on data analysis and database operations, by providing a robust framework for interaction with Hologres.

The alibabacloud-observability-mcp-server is a Python-based server that provides observability features for Alibaba Cloud. It automates system monitoring and performance analysis, streamlining workflows. Users can collect and visualize data in real-time, enabling early detection and response to issues.

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

The AnalyticDB for MySQL MCP Server serves as a universal interface between AI agents and AnalyticDB for MySQL databases. This tool facilitates seamless communication, enabling AI agents to retrieve metadata from AnalyticDB for MySQL and execute SQL operations. This capability enhances the development of AI applications by simplifying interactions with the database.

Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of tools that interact with Yunxiao's API, allowing AI assistants to manage Codeup repository, Project, Pipeline, Packages etc.

The Alibaba Cloud PolarDB MCP Server is a cloud-native relational database service that decouples computing resources from storage resources, offering high performance and auto-scaling capabilities. It is 100% compatible with MySQL and PostgreSQL, and highly compatible with Oracle syntax. This allows users to easily access their PolarDB clusters.

The Alibaba Cloud FC MCP Server is designed to integrate with Alibaba Cloud's Function Compute service. Built on Node.js, it allows agent applications that support MCP clients to leverage Function Compute capabilities. Users must have appropriate Alibaba Cloud credentials with necessary permissions for optimal functionality.

The alibabacloud-adbpg-mcp-server serves as a universal interface between AI agents and AnalyticDB PostgreSQL databases. This tool facilitates seamless communication, allowing AI agents to retrieve database metadata and execute SQL operations. It enhances the capabilities of AI agents, particularly for automating data analysis and database operations. With its robust features, it provides a powerful solution for integrating AI with database management.

polardbx-mcp is an MCP server that provides tools and resources for AI agents to interact with Alibaba Cloud's PolarDB-X databases. It can be easily installed using npm, and the database connection is configured through environment variables.

The alibabacloud-opensearch-mcp-server is an MCP server that equips AI agents with the tools to interact with OpenSearch through a standardized and extensible interface. This tool is designed to enhance the efficiency of data retrieval and analysis in AI and machine learning projects. Developers can leverage OpenSearch's capabilities to fetch and process information from various data sources, enabling AI agents to generate more intelligent responses.

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