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ODBC MCP Server

by tylerstoltz

Data/DatabasesODBCClaudeDatabaseSQL

The ODBC MCP Server enables LLM tools like Claude Desktop to query databases via ODBC connections. It allows Claude and other MCP clients to access, analyze, and generate insights from database data while maintaining security and read-only safeguards.

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What is ODBC MCP Server?

The ODBC MCP Server is a tool that allows Large Language Models (LLMs), specifically Claude Desktop, to connect to and query databases through ODBC connections. It acts as a bridge, enabling LLMs to access and analyze data stored in various databases.

How to use ODBC MCP Server?

To use the server, you need to install it using UV package manager, configure the database connections in a configuration file or through Claude Desktop settings, and then start the server. Once configured, Claude Desktop can use the server to query the database using natural language prompts.

Key features of ODBC MCP Server

  • Connect to any ODBC-compatible database

  • Support for multiple database connections

  • Flexible configuration

  • Read-only safeguards

  • Easy installation

  • Detailed error reporting and logging

Use cases of ODBC MCP Server

  • Querying databases with natural language using Claude Desktop

  • Analyzing database data with LLMs

  • Generating insights from database data

  • Integrating database data into LLM workflows

FAQ from ODBC MCP Server

How do I configure the server for Sage 100?

Use the ProvideX configuration template with minimal parameters (DSN, username, password, company) and ensure readonly = true.

What do I do if I encounter connection issues?

Verify your ODBC drivers, test your DSN using the ODBC Data Source Administrator, and check your connection parameters in the config file. Also, check Claude Desktop logs for detailed error messages.

How do I list available database connections?

Use the list-connections MCP tool.

How do I execute an SQL query?

Use the execute-query MCP tool.

What if tables are missing?

Verify user permissions, check the company code (for Sage 100), and try using fully qualified table names (schema.table).