About
The SingleStore MCP Server enables LLMs and other MCP clients to interact with SingleStore databases using natural language commands, automatically handling authentication through browser OAuth.
Capabilities
SingleStore MCP Server – Bridging LLMs and High‑Performance SQL
The SingleStore MCP server turns a powerful distributed SQL engine into an AI‑friendly data source. By speaking the Model Context Protocol, Claude Desktop, Cursor, VS Code Copilot, and other MCP clients can query, manipulate, and explore SingleStore tables with natural‑language prompts. This eliminates the need for hand‑crafted SQL, API wrappers, or manual authentication flows, letting developers focus on business logic rather than plumbing.
At its core, the server exposes a set of tools that translate user intent into SQL statements and return results in a format ready for LLM consumption. It handles authentication automatically through browser‑based OAuth, so no static credentials or environment variables clutter the workflow. Once started, any MCP client can invoke commands such as “list all tables”, “summarize sales for Q3”, or “generate a report of user activity”, and the server will execute those queries, stream results back, and even format them as tables or charts when requested.
Key capabilities include:
- Seamless OAuth integration – the server initiates a browser flow, caches tokens, and refreshes them on demand, keeping sessions secure without manual intervention.
- Rich prompt support – a prompt reveals available actions, and custom prompts can be defined to tailor queries or transformations.
- Tool‑based SQL generation – the server abstracts away complex query syntax, providing high‑level operations that map to underlying SQL constructs.
- Multi‑client compatibility – a single binary works across Claude Desktop, Cursor, VS Code Copilot, Gemini CLI, and more, thanks to MCP’s standard interface.
Typical use cases span data exploration, rapid prototyping, and automation. A data analyst can ask the assistant to “show me the top 10 products by revenue” and receive a formatted table instantly. A developer integrating SingleStore into an application can prototype CRUD flows by asking the AI to “create a new customer record” and let the server translate that into an INSERT statement. In production, the same MCP server can power scheduled reports or chatbot assistants that answer business questions on demand.
By unifying authentication, query generation, and result formatting under the MCP umbrella, the SingleStore server gives developers a low‑friction bridge between natural language and high‑performance SQL. It removes boilerplate, reduces errors, and accelerates delivery of data‑centric features in AI‑enhanced workflows.
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