KWDB MCP Server

The KWDB MCP Server is a purpose‑built bridge that lets AI assistants query and manipulate the KWDB database through the Model Context Protocol. By exposing a rich set of tools and resources, it turns raw SQL capabilities into consumable, context‑aware actions that can be invoked directly from a conversational interface. This eliminates the need for developers to write custom adapters or middleware, enabling rapid integration of database insights into AI‑powered workflows.

At its core, the server parses MCP requests over both standard I/O and HTTP SSE streams, then dispatches them to specialized tool handlers. Each handler is tightly scoped: read tools (, , ) are isolated from write tools (, , , and DDL commands). This separation not only clarifies intent for the assistant but also enforces security policies—read‑only queries can be permitted while destructive operations are gated behind explicit approvals. The server automatically appends a clause to any SELECT statement lacking an explicit limit, protecting downstream consumers from accidental data over‑exposure.

The value proposition for developers lies in the server’s consistent JSON responses and comprehensive error handling. Tool results are wrapped with an flag, while resource errors surface as standard JSON‑RPC error objects. This uniformity allows client code to parse responses reliably, whether the assistant is fetching table schemas, executing ad‑hoc queries, or retrieving product metadata. Additionally, a built‑in syntax guide is exposed via prompts, giving LLMs immediate access to KWDB grammar and best practices without external documentation.

Real‑world scenarios include building a data‑driven chatbot that can answer questions like “Show me the last 10 orders for customer X” or “What is the schema of the table?” The assistant can fetch live results, embed them in the conversation, and even generate new queries on demand. In analytics pipelines, an AI can suggest DDL changes or optimize existing queries by inspecting table statistics returned through the server’s resources. Because the MCP interface is language‑agnostic, any client—whether a web UI, command line tool, or mobile app—can leverage the same set of capabilities without bespoke integrations.

What sets KWDB apart is its dual focus on safety and usability. By providing distinct read/write tools, automatic result capping, and clear error messages, it empowers developers to expose database functionality to assistants while maintaining tight control over data access. The server’s modular architecture also means new tools or resources can be added with minimal friction, ensuring the platform grows alongside evolving business needs.