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Epicor Kinetic

byCDataSoftware
0
Gestión de Bases de Datos
Ciencia de Datos y ML
Analíticas y Monitorización

Provides a Model Context Protocol (MCP) interface to enable large language models to query live Epicor Kinetic data via CData JDBC Drivers.

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This MCP server bridges the gap between AI clients like Claude Desktop and live Epicor Kinetic data. Leveraging the CData JDBC Driver for Epicor Kinetic, it translates complex relational SQL models into a simple MCP interface, allowing large language models to retrieve real-time information by understanding natural language questions, eliminating the need for direct SQL queries. This read-only server simplifies data access for AI-driven applications by exposing Epicor Kinetic data through a standardized protocol.

Características Principales

  • Exposes Epicor Kinetic data as relational SQL models
  • Compatible with AI clients supporting MCP, such as Claude Desktop
  • 0 GitHub stars
  • Provides a standardized Model Context Protocol (MCP) interface
  • Enables natural language querying of Epicor Kinetic data for LLMs
  • Wraps CData JDBC Drivers for seamless connectivity

Casos de Uso

  • Integrating Epicor Kinetic business data into AI-powered analytics and reporting workflows
  • Facilitating data retrieval from Epicor Kinetic without requiring direct SQL knowledge
  • Allowing AI clients to answer questions about live Epicor Kinetic data using natural language