SingleStore MCP Server

The SingleStore MCP Server is a purpose‑built bridge that lets AI assistants such as Claude query and introspect SingleStore databases directly through the Model Context Protocol. By exposing a small but powerful set of tools—table listing, arbitrary SQL execution, schema description, and Mermaid‑style ER diagram generation—the server removes the need for developers to write custom connectors or manage database credentials in their own code. Instead, an assistant can ask the server to fetch a table list or generate a visual schema diagram on demand, and receive structured JSON responses that can be immediately consumed by downstream logic or displayed in a user interface.

At its core, the server solves two common pain points for data‑centric AI workflows. First, it abstracts away the complexities of connecting to a SingleStore instance: SSL configuration, CA bundle retrieval, and connection pooling are handled automatically. Second, it provides a declarative API that maps naturally onto the assistant’s tool‑use paradigm. Developers can simply invoke , , , or without worrying about SQL syntax errors, network timeouts, or schema parsing logic. The server’s robust error handling and TypeScript type safety further ensure that the assistant receives predictable, well‑structured responses even when queries fail or tables are missing.

Key capabilities include:

• Comprehensive table discovery – returns every table name in the connected database, enabling assistants to enumerate data assets before querying.
• Custom query execution – accepts any SQL string, allowing assistants to perform ad‑hoc analytics or data extraction on the fly.
• Schema introspection – provides column definitions, data types, and a small sample of rows, giving assistants context about the structure and content of a table.
• Visual schema generation – outputs Mermaid syntax that can be rendered into a diagram, helping users understand relationships without manual schema drawing.
• Dual protocol support – the server can communicate via standard MCP stdio or through Server‑Sent Events, giving developers flexibility to integrate with desktop assistants or web applications.

Real‑world scenarios that benefit from this server include:

• Data‑driven chatbots that need to pull real‑time metrics or report summaries directly from SingleStore.
• Interactive data exploration tools where a user asks an AI to “show me the top 10 customers” and receives both the query result and a schema diagram.
• Automated reporting pipelines that trigger assistant‑powered queries, then embed the results into dashboards or emails.
• Developer onboarding where new team members can ask an AI to explain the database layout and receive a generated ER diagram instantly.

By integrating seamlessly into existing MCP workflows, the SingleStore MCP Server empowers developers to enrich AI assistants with live database access, all while maintaining security (automatic SSL handling) and reliability (structured error reporting). Its focused feature set, combined with flexible protocol options, makes it a standout tool for teams that rely on SingleStore as their primary data store and want to unlock its full potential through conversational AI.