Modern Python Data Access for AI 🔗
This server provides a high-performance, asynchronous solution for connecting Large Language Models to any database with an ODBC driver, leveraging the speed of FastAPI and the robustness of pyodbc.
The Python Data Gap
Python is the language of AI, but connecting models to legacy and enterprise databases via ODBC requires a simple, modern, and high-performance bridge. Traditional solutions can be complex to set up and may not be optimized for asynchronous workloads.
The FastAPI Advantage
The `mcp-pyodbc-server` uses FastAPI to deliver a high-throughput, modern Python stack. It provides a standardized MCP interface over pyodbc, ensuring broad compatibility and excellent performance for AI-driven data tasks.
Universal PyODBC Toolkit for AI 🔗
A comprehensive set of tools for database schema discovery, data querying, and execution of stored procedures, available to any MCP client.
Environment Prerequisites 🔗
Prepare your system by installing necessary tools and configuring your ODBC connection.
Quickstart Installation 🔗
Get the server source code with two simple commands.
Configuration Guide 🔗
Configure the server for your specific database and integrate it with client applications like Claude Desktop.
Basic Use & Troubleshooting 🔗
Use the MCP Inspector tool to test your connection and troubleshoot interactions with the server.
Usage Examples 🔗
Learn how to connect to other databases like PostgreSQL or containerize the application with Docker.
MCP Server in Action: Client Demonstrations 🔗
The following screencasts demonstrate the universal workflow for interacting with any MCP-compliant data server. The client-side experience shown is identical when connecting to either the PyODBC, JDBC, ADO.NET, or ODBC server, showcasing the power of the Model Context Protocol.
Frequently Asked Questions 🔗
Find answers to common questions about the project, its features, and implementation.
Key Concepts & Technologies 🔗
Understand the core technologies and standards that power the `mcp-pyodbc-server`.