"oracle" matching MCP servers:

This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.

Enables querying and mutating data across multiple sources (CSV, Google Sheets, SQLite, PostgreSQL, MySQL, MongoDB, Oracle) through a dynamic GraphQL API, with flexible filtering, batching, persisted queries, and dynamic source switching.

Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.

A versatile tool that enables querying and exporting data from multiple relational databases (MySQL, PostgreSQL, Oracle, SQLite, etc.) in read-only mode for data safety.

Enables LLM agents to connect to and query many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It provides schema retrieval and optimized query execution with normalized schemas for easier natural-language-driven data access.

An MCP server that provides a unified interface for connecting LLM agents to many database types, including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. It exposes schema retrieval and query execution endpoints, normalizing schemas and optimizing LLM-generated queries for compatibility.

Enables LLM agents to connect to and retrieve data from PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift via a unified MCP API, with schema normalization, query optimization, and secure connections.

Enables LLM agents to connect to and retrieve data from multiple database types through a unified API, including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift. Supports schema normalization and query transformation for LLM-friendly database interaction.

Enables LLM agents and AI applications to connect to and retrieve data from multiple database types such as PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift through a unified API with schema normalization and query transformation.

Enables LLM agents to connect to and query multiple database types through a unified API, with schema normalization, query transformation, and support for PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

Enables LLM agents to connect to and query multiple database types through a unified API, with schema normalization, query transformation, and support for PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

MCP server that parses legacy relational database schemas (Oracle, DB2, MySQL, MSSQL) and transpiles them to PostgreSQL with generated Prisma schema and TypeScript query helpers.

Enables LLM agents to connect to and query many database types—such as PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It normalizes schemas for LLM compatibility and transforms generated queries back into their original form, with SSL support and Docker deployment.

Enables LLM agents to connect to and retrieve data from many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. Provides schema retrieval, query optimization, and query transformation so models can work against normalized layouts across multiple data sources.

Enables LLM agents to connect to and retrieve data from multiple database types through a unified API, with schema normalization, query transformation, and secure connections. Supports PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

Enables LLM agents to connect to and retrieve data from a wide range of databases — including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift — through a single unified API. It normalizes schemas and transforms LLM-generated queries so agents can query multiple data sources securely and efficiently.

Enables LLM agents to connect to and retrieve data from multiple database systems through a unified MCP interface, with schema normalization and query execution across PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

Enables LLM agents to connect to and retrieve data from various databases through a unified API, with schema normalization, query transformation, and support for multiple database types including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift.

An MCP server that lets LLM agents connect to and query many database types—including PostgreSQL, MySQL, SQLite, BigQuery, Oracle, MS SQL, and Redshift—through a single unified API. It normalizes schemas for LLM-friendly naming, optimizes generated queries, and transforms them back for execution against the original layout.