SingleStore MCP Server

Overview

The SingleStore MCP Server is a dedicated Model Context Protocol endpoint that bridges AI assistants with SingleStore databases. It exposes database tables as resources and provides controlled read and query capabilities, allowing assistants to explore data without direct database access. By wrapping SingleStore operations in MCP, developers can give AI tools the ability to ask questions about data, generate insights, or perform ad‑hoc analysis while keeping security and governance in place.

Solving the Data‑Access Gap

Traditional AI assistants lack native support for querying relational or NewSQL databases. The MCP server fills this gap by translating AI‑generated SQL into safe, parameterized queries and returning results in a format that the assistant can consume. This removes the need for custom integration code, reduces latency compared to manual query pipelines, and ensures that all interactions are logged and auditable.

Core Capabilities

• Resource Discovery – The server lists all tables in the configured SingleStore database, allowing assistants to reference them by name in natural language prompts.
• Data Retrieval – Tables can be read in multiple formats, including BSON and JSON, enabling the assistant to surface structured data directly in conversations.
• SQL Execution – Users can submit arbitrary SQL statements; the server handles execution, error reporting, and result formatting.
• SingleStore‑Specific Support – Built‑in handling for BSON types, JSON functions, and the MongoDB‑compatible Kai API ensures that unique SingleStore features are accessible.
• Secure Configuration – Connection details are supplied via environment variables, and the server enforces minimal‑privilege access patterns.
• Logging & Monitoring – Every query and table listing is recorded, facilitating compliance checks and performance analysis.

Real‑World Use Cases

• Business Intelligence – Analysts can ask an AI assistant to pull sales metrics, pivot tables, or trend visualizations directly from SingleStore.
• Data Science Workflows – Data scientists can query raw tables, retrieve sample datasets, and feed them into model training pipelines without leaving the assistant interface.
• Operational Dashboards – Support teams can query incident logs or system metrics on demand, enabling rapid troubleshooting.
• Automated Reporting – Scheduled reports can be generated by having the assistant run predefined queries and format results into CSV or JSON for downstream consumption.

Integration with AI Workflows

The server plugs seamlessly into existing MCP‑enabled assistants such as Claude Desktop. Developers add a single configuration block that points to the server’s executable and supplies connection credentials. Once registered, the assistant can invoke database operations through natural language commands like “Show me the last 100 orders” or “Run a SELECT on customers where country = 'US'.” The MCP layer handles authentication, query parsing, and result serialization, freeing developers from writing custom connectors.

Unique Advantages

• Zero‑Code Integration – No need for bespoke SDKs or database drivers; the MCP server abstracts all SQL handling.
• Fine‑Grained Security – By configuring a dedicated SingleStore user with limited permissions, developers enforce least‑privilege access while still enabling rich data exploration.
• Native NewSQL Features – Support for BSON, JSON functions, and Kai API compatibility gives AI assistants access to the full expressive power of SingleStore.
• Audit‑Ready – Comprehensive logging ensures that every query is traceable, meeting regulatory and internal audit requirements.

In summary, the SingleStore MCP Server equips AI assistants with secure, efficient, and feature‑rich access to SingleStore databases, enabling developers to build data‑driven conversational experiences without compromising on security or performance.