📌Overview

Purpose: The Tablestore MCP server aims to facilitate the integration of large language models (LLMs) with external data sources and tools using the Model Context Protocol (MCP).

Overview: The Tablestore MCP server provides a standardized solution that allows developers to create AI-driven applications, enhance chat interfaces, and build customized AI workflows by efficiently connecting LLMs with critical contextual information.

Key Features:

• Seamless Integration: Enables LLM applications to work smoothly with various external data sources and tools, enhancing functionality and user experience.

• Standardized Protocol: Utilizes the Model Context Protocol (MCP), ensuring consistency and reliability in data integration processes across different applications.

Tablestore MCP servers

实现列表

1. Java

1. 入门示例: tablestore-java-mcp-server
2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag
   • 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。

2. Python

1. 入门示例: tablestore-python-mcp-server