Tablestore MCP Server
by Aliyun
This repository provides MCP (Multi-Compute Processing) server implementations for Tablestore in Java and Python. It includes examples for getting started and building AI applications like question answering systems with RAG.
Last updated: N/A
What is Tablestore MCP Server?
This repository contains implementations of Multi-Compute Processing (MCP) servers for Alibaba Cloud Tablestore. It provides examples and frameworks for building applications that leverage Tablestore's capabilities with distributed computing.
How to use Tablestore MCP Server?
The repository includes example implementations in Java and Python. Refer to the README files within each language-specific directory (e.g., tablestore-java-mcp-server/README.md) for detailed instructions on how to set up, configure, and run the server. The RAG example provides guidance on building question answering systems.
Key features of Tablestore MCP Server
MCP Architecture
Java Implementation
Python Implementation
Example Applications
RAG Integration
Knowledge Base Support
Use cases of Tablestore MCP Server
Building distributed data processing pipelines with Tablestore
Creating AI-powered question answering systems
Developing applications that require high throughput and low latency
Implementing custom data processing logic on top of Tablestore
Building knowledge base systems
FAQ from Tablestore MCP Server
What is Tablestore?
What is Tablestore?
Tablestore is a NoSQL database service provided by Alibaba Cloud.
What is MCP?
What is MCP?
MCP stands for Multi-Compute Processing, an architecture for distributed computing.
Which languages are supported?
Which languages are supported?
Currently, Java and Python implementations are available.
Where can I find more documentation?
Where can I find more documentation?
Refer to the README files within each language-specific directory.
How do I contribute?
How do I contribute?
Please refer to the Alibaba Cloud contribution guidelines.