SQL Alchemy
MCP Alchemy, developed by Rune Kaagaard, provides a seamless interface between Claude Desktop and SQL databases. Built with Python and SQLAlchemy, it enables AI systems to directly query and analyze data from PostgreSQL, MySQL, MariaDB, SQLite, and other SQLAlchemy-compatible databases. The implementation offers tools for database exploration, query assistance, and data analysis, with features like smart result truncation and integration with claude-local-files for handling large datasets. By abstracting database interactions into an MCP interface, it allows AI assistants to act as database experts, facilitating use cases such as data exploration, SQL query writing, relationship mapping, and comprehensive data analysis across various database engines.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/runekaagaard/mcp-alchemy
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve SQL Alchemy 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.