MCP Alchemy
Public
Connect Claude Desktop to various SQLAlchemy-compatible databases to explore schemas, validate and write SQL queries, analyze large datasets, and generate reports efficiently using the Model Context Protocol.
python
Connect Claude Desktop to various SQLAlchemy-compatible databases to explore schemas, validate and write SQL queries, analyze large datasets, and generate reports efficiently using the Model Context Protocol.
Unlock the full potential of MCP Alchemy through LangDB's AI Gateway. Get enterprise-grade security, analytics, and seamless integration with zero configuration.
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SQLAlchemy database URL (required). Examples: PostgreSQL: postgresql://user:password@localhost/dbname, MySQL: mysql+pymysql://user:password@localhost/dbname, MariaDB: mariadb+pymysql://user:password@localhost/dbname, SQLite: sqlite:///path/to/database.db
Maximum output length (optional, default 4000)
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Directory for full result sets (optional)
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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