Question 1

What is MCP?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge between AI models and external data sources.

Question 2

What is the purpose of the Dockerized MCP MySQL Server?

Accepted Answer

It provides a containerized MCP server that allows AI models to access and interact with MySQL databases.

Question 3

What are the key features of this asset?

Accepted Answer

The key features include running SQL queries via MCP tools, retrieving table schemas, listing all tables in a connected MySQL database, and Dockerized deployment.

Question 4

What are the requirements for using this asset?

Accepted Answer

The requirements include Python 3.10+, Docker, MySQL server or container, and the `fastmcp` library.

Question 5

How do I configure the MySQL credentials?

Accepted Answer

You need to copy `.env.example` to `.env` and fill in your MySQL credentials in the `.env` file.

Question 6

Can I use Docker Compose with this asset?

Accepted Answer

Yes, you can use Docker Compose to start both MySQL and the MCP server with one command. Make sure to set `DB_HOST=db` in your `.env` file when using Docker Compose.

Question 7

What tools are exposed by the server?

Accepted Answer

The server exposes `run_sql_query(query: str) -> list`, `get_table_schema(table_name: str) -> list`, and `list_tables() -> list`.

Question 8

How does this integrate with the UBOS platform?

Accepted Answer

The Dockerized MCP MySQL Server seamlessly integrates with the UBOS platform, allowing you to connect your AI agents to your MySQL databases within the UBOS ecosystem.

Question 9

Where can I find more information about the UBOS platform?

Accepted Answer

Visit the UBOS website at [https://ubos.tech](https://ubos.tech) for more information.

MCP MySQL Server

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