Hello Community,

Currently, LLMs are experiencing a surge in popularity.
Apache ShardingSphere as a database middleware, can be considered as the entry point for large models to access databases in the AI era.
The way databases are accessed is also shifting from human/application access to AI access.

MCP has become the standard for connecting LLM.
Regarding how to develop new features of Apache ShardingSphere and LLM through MCP, any ideas are welcome to be discussed here.

Some ideas:

• Manage metadata: provide chat to Analyze data relationship feature with all databases managed by ShardingSphere
• Manage data: provide chat to SQL feature with all databases managed by ShardingSphere
• Manage query result report: provide chat to report feature with all databases managed by ShardingSphere
• Manage features: chat to sharding, encrypt, mask etc...