About MCP servers.
A collection of Tablestore MCP server examples in Java and Python. It includes a starter sample, a retrieval-augmented question answering system over a private knowledge base, and a Mem0 OpenMemory server.
Key features
- 01Java starter MCP server example
- 02RAG question answering over a knowledge base
- 03Python starter MCP server example
- 04Mem0 OpenMemory MCP server
Use cases
- 01Learning how to build MCP servers on Tablestore
- 02Building a question answering system on a private knowledge base
MCP support
Each example is an MCP server implementation that provides Tablestore-backed capabilities to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETablestore MCP servers.
实现列表
1. Java
- 入门示例: tablestore-java-mcp-server
- 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
技术支持
欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.