HANA MCP Server

The HANA MCP Server bridges the gap between SAP HANA databases and AI assistants such as Claude by exposing a Model Context Protocol (MCP) interface. It solves the problem of siloed data access: developers and data scientists can ask natural‑language questions, run queries, and retrieve schema information without leaving their AI workflow. By converting plain English into authenticated SQL calls, the server turns a powerful but complex database into an intuitive conversational partner.

At its core, the server offers a rich set of database operations that map directly to common AI use cases. Schema exploration lets users list schemas, tables, and column definitions with a single prompt. Query execution turns a description like “Show me all orders over $1,000” into an SQL statement that runs against the live database and returns results. Data sampling provides quick insights by fetching a handful of rows from any table, while system information endpoints expose performance metrics and connection health. All these capabilities are wrapped in a single MCP endpoint, making them discoverable by any AI client that understands the protocol.

Key features include robust security support—SSL, encryption, and certificate validation are configurable via environment variables—and flexible connection modes that accommodate both single‑container HANA instances and multi‑tenant MDC deployments. The server also logs activities at adjustable levels, with options for file or console output, enabling developers to audit interactions and troubleshoot performance issues. The bundled web UI simplifies configuration: users can manage multiple database environments, push settings to Claude Desktop with a click, and test connectivity before committing.

Real‑world scenarios benefit from this tight integration. A data analyst can ask the assistant to “Describe the CUSTOMER table structure” and instantly receive column types, constraints, and sample data—all without opening a separate SQL client. A developer can prototype new features by having the AI generate a query to fetch recent sales, then copy that query into production. In DevOps pipelines, automated scripts can invoke the MCP server to validate schema changes or run regression tests against a staging HANA instance, all within the same AI‑driven workflow.

Unlike generic database connectors, the HANA MCP Server is specifically tuned for SAP HANA’s SQL dialect and connection nuances. Its ability to expose system metrics, coupled with an intuitive natural‑language interface, gives developers a powerful tool that fits seamlessly into AI‑centric development cycles. Whether you’re building conversational agents, automating data pipelines, or simply exploring a new database, the HANA MCP Server turns your SAP HANA resources into an accessible, AI‑friendly asset.