SQLAlchemy ODBC Bridge
Provides a bridge between databases and SQL/SPARQL queries through ODBC connections, enabling schema exploration, table management
MCP SQLAlchemy Server provides a bridge between AI assistants and databases through ODBC connections, enabling direct SQL and SPARQL query execution, schema exploration, and table management. Developed by Sergey Malinin, this implementation leverages SQLAlchemy and pyodbc to offer specialized tools for retrieving database schemas, describing tables, filtering table names, and executing queries with results in both JSONL and Markdown formats. The server has built-in support for Virtuoso DBMS with additional compatibility for PostgreSQL, MySQL, and SQLite, making it ideal for data analysis, database exploration, and knowledge graph querying applications where AI assistants need structured access to database systems.
Source
Repository: https://github.com/openlinksoftware/mcp-sqlalchemy-server
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