Oracle MCP Server

Oracle MCP Server

The Oracle MCP Server bridges the gap between AI assistants and enterprise Oracle databases by exposing a suite of database operations as Model Context Protocol tools. Traditional JDBC access requires developers to write boilerplate code and manage connections manually, which can be error‑prone and slow to prototype. By packaging common SQL tasks—listing tables, describing schemas, and executing arbitrary statements—into lightweight MCP tools, the server lets an AI assistant query or mutate data with a single JSON payload, eliminating the need for custom integration code.

At its core, the server is built on Spring Boot 3.2 and the . This foundation provides a robust, type‑safe configuration layer and an SSE (Server‑Sent Events) endpoint that streams results back to the client in real time. The SSE mechanism is particularly valuable for long‑running queries or bulk inserts, as it allows the AI assistant to display partial results progressively rather than waiting for a full response. Secure connection handling is baked in: credentials are stored encrypted, and the JDBC driver uses Oracle’s native pooling to keep connection overhead low.

Key capabilities include:

• Table enumeration – a tool that returns all user tables in the connected schema, enabling assistants to discover available data sources on demand.
• Schema introspection – a tool that emits column names, data types, nullability, length, and primary key metadata in CSV format, allowing the assistant to generate accurate query templates or validation logic.
• SQL execution – an tool that accepts any Oracle SQL statement, returning query results as CSV or the number of affected rows for DML operations. The tool handles result set formatting, error reporting, and protects against injection through parameterized execution.

These features make the server ideal for data‑driven workflows such as generating ad‑hoc reports, performing data migrations, or automating routine maintenance tasks. For example, an AI assistant could prompt a user for a new record’s values, invoke to insert the data, and then call to confirm the schema. The SSE stream ensures that large result sets are delivered efficiently, while Spring’s security mechanisms keep credentials safe.

In summary, the Oracle MCP Server turns a complex relational database into a first‑class AI toolset. It abstracts away connection plumbing, offers real‑time streaming, and presents database operations as declarative JSON actions—empowering developers to build intelligent applications that interact with Oracle data seamlessly and securely.