MCP Server ODBC via SQLAlchemy
by OpenLinkSoftware
A lightweight MCP server for ODBC built with FastAPI, pyodbc, and SQLAlchemy. This server is compatible with Virtuoso DBMS and other DBMS backends that implement a SQLAlchemy provider.
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What is MCP Server ODBC via SQLAlchemy?
This is a lightweight Model Context Protocol (MCP) server designed for ODBC connectivity, leveraging FastAPI, pyodbc, and SQLAlchemy. It enables interaction with databases like Virtuoso and others supporting SQLAlchemy providers through a standardized protocol.
How to use MCP Server ODBC via SQLAlchemy?
To use this server, you need to configure your ODBC Data Source Name (DSN), install the required dependencies (uv), and set up environment variables for database credentials. Then, you can configure Claude Desktop or other applications to interact with the server using the provided tools and API.
Key features of MCP Server ODBC via SQLAlchemy
Get Schemas
Get Tables
Describe Table
Search Tables
Execute Stored Procedures (Virtuoso)
Execute Queries (JSONL, Markdown)
Use cases of MCP Server ODBC via SQLAlchemy
Fetching database schemas and tables
Describing table structures and metadata
Filtering tables based on name patterns
Executing SQL queries and stored procedures
Integrating with AI models through Virtuoso's AI support features
FAQ from MCP Server ODBC via SQLAlchemy
What databases are supported?
What databases are supported?
The server supports any database with a SQLAlchemy provider, including Virtuoso, PostgreSQL, MySQL, and SQLite.
How do I configure the ODBC DSN?
How do I configure the ODBC DSN?
You need to configure your ODBC DSN in the ~/.odbc.ini file. Refer to the README for an example configuration for Virtuoso DBMS.
What is the purpose of the API Key?
What is the purpose of the API Key?
The API key is used for authentication and authorization when interacting with the server, especially when using features like the Virtuoso Support AI.
What are the available tools?
What are the available tools?
The server provides tools for getting schemas, getting tables, describing tables, filtering table names, and executing SQL queries in various formats (JSONL, Markdown).
How can I troubleshoot issues with the server?
How can I troubleshoot issues with the server?
You can use the MCP Inspector to troubleshoot server interactions. Install it using npm install -g @modelcontextprotocol/inspector and start it with npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-sqlalchemy-server run mcp-sqlalchemy-server.