A light-weight, safe, and extensible MCP (Mannequin Context Protocol) server for MySQL designed to bridge the hole between relational databases and huge language fashions (LLMs).
I’m releasing a brand new open-source mission: mysql-mcp-server, a light-weight server that connects MySQL to AI instruments by way of the Mannequin Context Protocol (MCP). It’s designed to make MySQL safely accessible to language fashions, structured, read-only, and absolutely auditable.
This mission began out of a sensible want: as LLMs turn into a part of on a regular basis growth workflows, there’s rising curiosity in utilizing them to discover database schemas, write queries, or examine actual knowledge. However exposing manufacturing databases on to AI instruments is a threat, particularly with out guardrails.
mysql-mcp-server gives a easy, safe answer. It gives a minimal however highly effective MCP server that speaks on to MySQL, whereas imposing security, observability, and construction.
What it does
mysql-mcp-server permits instruments that talk MC, similar to Claude Desktop, to work together with MySQL in a managed, read-only setting. It presently helps:
- Itemizing databases, tables, and columns
- Describing desk schemas
- Working parameterized SELECT queries with row limits
- Introspecting indexes, views, triggers (non-compulsory instruments)
- Dealing with a number of connections by way of DSNs
- Non-obligatory vector search assist if utilizing MyVector
- Working as both a neighborhood MCP-compatible binary or a distant REST API server
By default, it rejects any unsafe operations similar to INSERT, UPDATE, or DROP. The aim is to make the server secure sufficient for use domestically or in shared environments with out unintended unintended effects.
Why this issues
As extra builders, analysts, and groups undertake LLMs for querying and documentation, there’s a spot between conversational interfaces and actual database methods. Mannequin Context Protocol helps bridge that hole by defining a set of secure, predictable instruments that LLMs can use.
mysql-mcp-server brings that mannequin to MySQL in a approach that respects manufacturing security whereas enabling exploration, inspection, and prototyping. It’s useful in native growth, devops workflows, assist diagnostics, and even hybrid RAG situations when paired with a vector index.
Getting began
You possibly can run it with Docker:
docker run -e MYSQL_DSN='consumer:go@tcp(mysql-host:3306)/'
-p 7788:7788 ghcr.io/askdba/mysql-mcp-server:newest
Or set up by way of Homebrew:
brew set up askdba/faucet/mysql-mcp-server
mysql-mcp-server
As soon as working, you possibly can join any MCP-compatible shopper (like Claude Desktop) to the server and start issuing structured queries.
Use instances
- Builders inspecting unfamiliar databases throughout onboarding
- Knowledge groups writing and validating SQL queries with AI help
- Native RAG functions utilizing MySQL and vector search with MyVector
- Assist and SRE groups want read-only entry for troubleshooting
Roadmap and contributions
That is an early launch and nonetheless evolving. Deliberate additions embody:
- Extra granular introspection instruments (e.g., constraints, saved procedures)
- Connection pooling and config profiles
- Structured logging and tracing
- Extra examples for integrating with LLM environments
If you happen to’re engaged on something associated to MySQL, open-source AI tooling, or database accessibility, I’d be glad to collaborate.
Be taught extra
If in case you have suggestions, concepts, or wish to contribute, the mission is open and lively. Pull requests, bug stories, and discussions are all welcome.
