Retrieve all collections in a MongoDB database to identify available data sets before querying. Ideal for quickly assessing database structure and content.
Analyze sample documents to infer MongoDB collection schema. Use to understand structure before querying, specifying database, collection, and sample size.
Fetch option chain data and load it into an SQL database for analysis using SQL queries. This tool enables structured querying of options data for the specified underlying symbol.
Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
Provides universal database operations for AI assistants through MCP, supporting 40+ databases including PostgreSQL, MySQL, MongoDB, Redis, and SQLite with built-in introspection tools for schema exploration.