Discover the MCP-ODBC Server: Seamless Data Access for Large Language Models

Are you looking for a reliable solution to connect Large Language Models (LLMs) to ODBC-accessible data sources? The MCP-ODBC Server is your go-to tool for transparent and efficient data integration. Built as a lightweight TypeScript layer on top of node-odbc, this server facilitates seamless interaction with various database systems via ODBC drivers.

What is MCP-ODBC Server?

The MCP-ODBC Server is a specialized implementation of the Model Context Protocol (MCP) designed to bridge LLMs with ODBC data sources. Whether you're using Virtuoso or other database management systems, this server ensures smooth data access through a configured Data Source Name (DSN).

Key Features of MCP-ODBC Server

Schema and Table Management: Easily list database schemas and tables with tools like get_schemas and get_tables.
Detailed Insights: Use describe_table to retrieve comprehensive details about table structures, including columns and data types.
Flexible Query Execution: Execute SQL, SPARQL, and SPASQL queries with results in JSON, JSONL, or Markdown formats.
AI Integration: Leverage Virtuoso-specific AI features for enhanced data interaction via the virtuoso_support_ai tool.

How to Use MCP-ODBC Server

Ensure node.js version 21.1.0 or higher is installed.
Clone the repository from GitHub and install dependencies.
Configure environment variables in a .env file for secure API and database access.
Use the MCP Inspector or integrate with tools like Claude Desktop or Cursor for prompt-based querying.

Use Case: Data Analysis with LLMs

Analysts can use the MCP-ODBC Server to query databases directly via LLMs, simplifying data retrieval and analysis without deep SQL knowledge.

FAQ about MCP-ODBC Server

What databases does it support? It works with any ODBC-accessible database, with examples focused on Virtuoso.
Is it beginner-friendly? Yes, with clear setup guides and tool integration, it’s accessible to all users.

mcp-odbc-server MCP Server