Enables large language models to query live Sage 200 data using natural language, leveraging CData JDBC Drivers.
Sponsored
This server bridges the gap between Large Language Models (LLMs) like Claude Desktop and live Sage 200 data. It wraps the CData JDBC Driver for Sage 200, exposing the financial data as relational SQL models through a simple Model Context Protocol (MCP) interface. This allows LLMs to retrieve real-time information by posing natural language questions, eliminating the need for direct SQL knowledge.
Key Features
01Translates natural language queries into SQL via CData JDBC Drivers
02Supports JSON-RPC 2.0 for programmatic interaction
03Exposes Sage 200 data as relational SQL models
040 GitHub stars
05Connects LLMs to live Sage 200 data
06Provides read-only access to Sage 200 information
Use Cases
01Integrating Sage 200 financial data into AI-powered applications without writing SQL
02Allowing AI clients, such as Claude Desktop, to access and analyze Sage 200 data through natural language queries
03Enabling developers to script direct queries to Sage 200 via a standardized JSON-RPC interface
