OpenLink MCP Server for ODBC
A TypeScript-based MCP Server for ODBC, providing Large Language Models with transparent access to data sources.
Bridging AI and Your Data 🔗
This document covers the setup and use of a generic ODBC server for the MCP, providing LLMs with transparent access to ODBC-accessible data sources.
The Challenge
Large Language Models lack direct, secure, and standardized access to the vast amounts of structured data locked away in enterprise databases, hindering their ability to provide accurate, context-aware insights.
The Solution
The `mcp-odbc-server` acts as a secure and efficient bridge. It exposes database functionalities as a set of tools via the Model Context Protocol, allowing any MCP-compliant AI agent to interact with data through the universal ODBC standard.
Powerful Data Tools for AI 🔗
After installation, a suite of tools becomes available to any connected MCP client application, enabling sophisticated database interactions.
Implementation Strategy 🔗
Follow these steps to get the `mcp-odbc-server` up and running in your environment.
Apple Silicon Troubleshooting 🔗
Resolve common architecture mismatch errors when running on Apple Silicon (ARM64) machines.
Client Application Usage 🔗
Configure and use the server with popular AI-powered development tools.
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-odbc-server`.