MySQL
This MySQL MCP implementation, developed using Python, provides a standardized interface for interacting with MySQL databases through the Model Context Protocol. It utilizes the mysql-connector-python library to offer MySQL functionality, enabling operations like data querying, insertion, and manipulation. The implementation is containerized using Docker for easy deployment and scalability. By abstracting MySQL interactions into an MCP interface, it allows AI systems to seamlessly work with relational database data and operations. This server is particularly useful for applications requiring structured data storage and retrieval, such as content management systems, user authentication services, or data-driven web applications.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/wllcnm/mcp-mysql
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve MySQL from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.