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MCP Server ODBC via PyODBC

@OpenLinkSoftware

a year ago
developer-tools
A simple MCP ODBC server using FastAPI, ODBC and PyODBC.
Overview

What is MCP Server ODBC via PyODBC?

MCP Server ODBC via PyODBC is a lightweight server built with FastAPI and PyODBC that allows users to connect to various databases using the Model Context Protocol (MCP) and ODBC drivers.

How to use MCP Server ODBC via PyODBC?

To use the server, clone the repository from GitHub, install the necessary dependencies, configure your ODBC Data Source Name (DSN), and run the server. You can then interact with the server using the provided API endpoints.

Key features of MCP Server ODBC via PyODBC?

  • Fetch and list all schema names from the connected database.
  • Retrieve table information for specific schemas.
  • Generate detailed descriptions of table structures.
  • Filter and retrieve tables based on name substrings.
  • Execute stored procedures and SQL queries with results in JSONL or Markdown formats.

Use cases of MCP Server ODBC via PyODBC?

  1. Connecting to Virtuoso DBMS and executing SQL queries.
  2. Fetching schema and table information for data analysis.
  3. Integrating with applications that require database access via ODBC.

FAQ from MCP Server ODBC via PyODBC?

  • What databases are supported?

The server is compatible with any database that has an ODBC driver, including Virtuoso DBMS.

  • Is there a specific setup required?

Yes, you need to configure your ODBC DSN and ensure the necessary runtime environment is set up.

  • Can I execute stored procedures?

Yes, the server supports executing stored procedures, particularly for Virtuoso.

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